feat: enrich AI-ML learned context from Farnsworth history (#512)

* feat: enrich AI-ML learned context from Farnsworth history (#511) - Create continuity.md: multi-week narrative (agent skills, manipulation, press convergence) - Enrich wisdom.md with operational heuristics from W22-W23 learnings - Add noise-classification skill (star-farming, fork-inflation, timestamp clustering) - Add press-developer-convergence skill (correlation tiers, reusable patterns) Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Fix review comments on PR #512 - continuity.md: add claim_type field to predictions schema - noise-classification.md: rewrite integration as guidance, not implying data/noise/ directory - wisdom.md: grammar fix 'are manipulation' → 'indicate manipulation' Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --------- Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

Juan Manuel Servera committed Jun 16, 2026 at 19:33 UTC 07de4ba0f28429272532dd9f10e0bec6b454cb87
52 files changed +190012
.squad/topics/ai-ml/continuity.md new
+47
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1 +# AI-ML Continuity — Multi-Week Narrative
2 +
3 +## Active Trend Arcs
4 +
5 +### Agent Skills Economy (W21→W23+)
6 +W21 surfaced early hints (chrisbanes/skills, vercel-labs/zero). W22 confirmed the
7 +category with multiple independent skill-packaging repos alongside 140k+ ⭐ trending
8 +anchors. W23 crossed a cultural boundary — first major Chinese-platform design skills
9 +(Xiaohongshu, WeChat) at 1k-2k+ stars. The pattern: clustered movement across
10 +independent teams is a stronger signal than any single repo launch. Geographic and
11 +linguistic expansion now constitutes its own sub-trend distinct from English-developer
12 +workflow skills.
13 +
14 +### Coordinated Manipulation Patterns (W22→W23+)
15 +W22 saw the most concentrated coordinated star-farming campaign on record — game-cheat,
16 +software-unlock, and AI-branded repos landing at 421-429 stars with zero forks in
17 +minutes. W23 shifted the vector: fork-inflation via polymarket bot repos with fork
18 +counts 10-20x their star count and keyword-stuffed descriptions. Same coordinated
19 +intent, rotating metric vectors. Noise classification must track both creation-timestamp
20 +clustering and fork/star ratio anomalies.
21 +
22 +### Press-Developer Convergence (W22→W23+)
23 +W22: TechCrunch inflated-AI-ARR coverage ran alongside GitHub star inflation — a
24 +meta-convergence of metrics manipulation narratives. W23: Copilot token-billing backlash
25 +(TechCrunch, 2026-05-30) produced same-week developer response in self-hosted AI
26 +workspace repos — strongest press-developer convergence observed. Platform
27 +billing/policy changes are now a confirmed leading indicator for self-hosting repo
28 +spikes.
29 +
30 +## Structural Insights
31 +
32 +- **Analysis contract**: The analyzer output is a superset of published frontmatter plus
33 + quality gate — one artifact serves editorial and pipeline needs.
34 +- **Press as correlation, not content**: External coverage is a signal layer explaining
35 + the gap between narrative and developer traction, not material to repackage.
36 +- **Multi-source press strategy**: Compact correlation artifact (≤8k tokens) with ranked
37 + items, strong/weak correlation tiers, divergences, and full citations. Raw dumps are
38 + prohibited.
39 +- **Prediction tracking**: `predictions` frontmatter (`{repo, direction, confidence, claim_type}`)
40 + feeds hindsight scorecards for reskill loops. `claim_type` is one of `signal|noise|gap`.
41 +
42 +## Forward Indicators to Watch
43 +
44 +- Skills economy: enterprise adoption, monetization signals, framework-level integrations
45 +- Manipulation: new metric vectors beyond stars/forks (watch issues, discussions, sponsor badges)
46 +- Self-hosting: whether billing-backlash repos sustain past the news cycle
47 +- Map/reduce analysis: dry-run path (`analysis_path=map-reduce-dry-run`) under validation
.squad/topics/ai-ml/skills/noise-classification.md new
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1 +# Skill: Noise Classification
2 +
3 +## Purpose
4 +Identify and filter coordinated manipulation patterns in GitHub crawl data before
5 +editorial analysis, preventing inflated repos from contaminating trend signals.
6 +
7 +## Detection Heuristics
8 +
9 +### Star-Farming (W22 pattern)
10 +- **Trigger**: ≥3 repos landing within ±10 stars of each other in the same crawl window
11 +- **Confirm**: Zero or near-zero fork count on repos with 400+ stars
12 +- **Context**: Often clustered in game-cheat, software-unlock, or AI-branded categories
13 +- **Action**: Flag as `noise:star-farm`, exclude from trend aggregation
14 +
15 +### Fork-Inflation (W23 pattern)
16 +- **Trigger**: Fork/star ratio > 10:1 on repos < 30 days old
17 +- **Confirm**: Keyword-stuffed descriptions, bot-pattern naming conventions
18 +- **Context**: Polymarket, crypto, and automated-trading verticals
19 +- **Action**: Flag as `noise:fork-inflation`, exclude from trend aggregation
20 +
21 +### Creation-Timestamp Clustering
22 +- **Trigger**: ≥5 thematically similar repos created within a 60-minute window
23 +- **Confirm**: Similar description templates, near-identical READMEs
24 +- **Action**: Flag cluster as `noise:coordinated-creation`
25 +
26 +## Evolution Expectation
27 +Manipulation vectors rotate weekly. When a new metric vector appears (beyond stars and
28 +forks), add a detection rule here. Watch for: issue-count inflation, sponsor-badge
29 +gaming, discussion-count manipulation.
30 +
31 +## Integration
32 +- Pre-filter step before editorial scoring
33 +- Flagged repos should be noted in analysis frontmatter for retrospective audit
34 +- Noise counts feed the weekly brief's Signal/Noise section
.squad/topics/ai-ml/skills/press-developer-convergence.md new
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1 +# Skill: Press-Developer Convergence Detection
2 +
3 +## Purpose
4 +Identify weeks where press/industry coverage and developer activity converge on the
5 +same theme, surfacing non-obvious editorial angles from the correlation.
6 +
7 +## Method
8 +
9 +### 1. Correlation Scan
10 +Compare the week's press themes (from compact press-context artifact) against:
11 +- New repo categories showing unusual growth
12 +- Trending repos with thematic overlap to press narratives
13 +- Community reaction repos (alternatives, self-hosted replacements, protest forks)
14 +
15 +### 2. Convergence Strength Tiers
16 +
17 +| Tier | Definition | Example |
18 +|------|-----------|---------|
19 +| **Strong** | Same-week developer repo response directly caused by press event | Copilot billing article → self-hosted AI workspace repos spike (W23) |
20 +| **Meta** | Press narrative mirrors a pattern visible in developer metrics | Inflated AI ARR coverage ∥ star-inflation campaigns (W22) |
21 +| **Weak** | Category overlap without causal link | General AI coverage + general AI repos trending |
22 +
23 +### 3. Editorial Application
24 +- **Strong convergence**: Lead with the narrative; developer data validates/extends press
25 +- **Meta convergence**: Use as a thematic bridge; highlight the irony or structural parallel
26 +- **Weak convergence**: Mention only if no stronger angle exists; caveat the correlation
27 +
28 +## Reusable Patterns
29 +- Platform billing/policy changes → monitor for self-hosting spikes within 7 days
30 +- Acquisition announcements → watch for fork/migration activity in affected ecosystems
31 +- Security disclosures → track patching velocity and alternative-tool adoption
32 +- Regulatory announcements → observe compliance-tooling repo creation
33 +
34 +## Quality Gate
35 +- Never present correlation as causation without temporal evidence
36 +- Always cite both the press source (URL, date) and the repo evidence (crawl data)
37 +- Distinguish press-first (coverage preceded developer activity) from developer-first
.squad/topics/ai-ml/wisdom.md
+16
@@ -5,13 +5,29 @@
5 - Framework-adjacent tools (PyTorch/TensorFlow ecosystem) show sustained growth
6 - LLM-related repos have high initial stars but variable retention
7 - Research reproducibility repos (paper implementations) peak early then plateau
8 +- Clustered movement across independent teams is stronger signal than any single repo launch
9 +- Geographic/linguistic expansion of a trend (e.g., skills across Chinese platforms) is a distinct sub-signal
10 +- Platform billing/policy changes are leading indicators for self-hosting repo spikes
11
12 ## Noise Patterns
13 - Tutorial/course repos with high stars but low forks are often one-time views
14 - Wrapper libraries around APIs tend to be ephemeral
15 - Repos that only add a README without substantial code are often hype-driven
16 +- Coordinated star-farming: tight clusters landing at near-identical star counts with zero forks in minutes
17 +- Fork-inflation: repos with fork/star ratio >10x and keyword-stuffed descriptions indicate manipulation
18 +- Creation-timestamp clustering (many repos appearing within minutes) signals coordinated campaigns
19
20 ## Scoring Adjustments
21 - Weight Python and Jupyter Notebook repos higher
22 - Look for arXiv references as quality signals
23 - Multi-language repos (Python + C++) often indicate serious frameworks
24 +- Lower editorial trust for new repos without fork activity (star-only traction)
25 +- `stars_tracked` and `repos_featured` should be pipeline-computed, not hand-calculated
26 +
27 +## Operational Heuristics
28 +- Weekly briefs work best as named macro trends supported by repo evidence with links from crawl `url` field
29 +- Press/industry coverage explains the gap between narrative and developer traction — never repackage
30 +- Multi-source press input must be a compact correlation artifact (≤8k tokens), not raw dumps
31 +- Distinguish strong correlations (same-week developer response) from weak (category-only fuzzy match)
32 +- Reader-facing renders need a cleanup pass stripping AI-only scaffolding before publication
33 +- The learning loop only works when lessons are persisted and injected back through shared wisdom/skills
data/candidates/2026-W23/27056632166/2026-W23-summary.md new
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1 +---
2 +title: "Sovereignty Streak, Agent Skills Go Vertical, and GitHub's DPI-Bypass Flood"
3 +date: 2026-06-06T07:49:43Z
4 +week: "2026-W23"
5 +year: 2026
6 +tags: [self-hosted, agent-skills, ai-memory, coding-agents, censorship-bypass, offensive-security, exploit-churn]
7 +categories: [weekly]
8 +repos_featured: 443
9 +stars_tracked: 17200000
10 +top_repo: "pewdiepie-archdaemon/odysseus"
11 +quality_score: 76
12 +summary: "Week 23 amplifies two W22 trends — agent memory infrastructure and skills verticalization — while a suspicious 56k-star self-hosted AI workspace, a coordinated Russian censorship-bypass wave, and the heaviest offensive-security agent activity of the year reshape what noise looks like at scale."
13 +predictions:
14 + - repo: duncatzat/vigils
15 + claim_type: signal
16 + direction: up
17 + confidence: 0.78
18 + - repo: tastyeffectco/sandboxes
19 + claim_type: signal
20 + direction: up
21 + confidence: 0.72
22 + - repo: openai/role-specific-plugins
23 + claim_type: signal
24 + direction: up
25 + confidence: 0.75
26 + - repo: PentesterFlow/agent
27 + claim_type: signal
28 + direction: up
29 + confidence: 0.70
30 + - repo: pewdiepie-archdaemon/odysseus
31 + claim_type: noise
32 + direction: flat
33 + confidence: 0.65
34 +---
35 +
36 +## This Week's Trends
37 +
38 +**The local-sovereignty impulse crystallises into a pattern.** Multiple independent projects this week converge on one thesis: run AI infrastructure yourself, trust no cloud. [ClaudioDrews/memory-os](https://github.com/ClaudioDrews/memory-os) (895★, Python) delivers a seven-layer memory operating system for Hermes Agent with Qdrant integration, surgical context injection, and a hard local-first constraint — any LLM provider, no vendor lock-in. [tastyeffectco/sandboxes](https://github.com/tastyeffectco/sandboxes) (445★, Go) brings self-hosted dev sandboxes with preview URLs to coding agents without Kubernetes. [zaydmulani09/mnemo](https://github.com/zaydmulani09/mnemo) (186★, Rust) builds a local-first knowledge graph and semantic retrieval layer for any LLM backend. [duncatzat/vigils](https://github.com/duncatzat/vigils) (281★, Rust+Tauri) adds real-time approval gating and secret isolation for AI agent actions. Individually these are interesting; together they describe a coherent stack assembling from the bottom up, driven by developers who want sovereignty over the infrastructure that runs their agents.
39 +
40 +**Agent skills deepen into domain verticals.** The W22 observation that skills are becoming a distribution layer is sharpening in W23 into something more specific: specialized professional packs aimed at discrete practitioner communities. [openai/role-specific-plugins](https://github.com/openai/role-specific-plugins) (175★) formalizes Codex plugin templates for role-specific behavior — the most institutionally significant skills entry of the week. [cellebrite-labs/ghidra-rpc](https://github.com/cellebrite-labs/ghidra-rpc) (140★) exposes Ghidra as an agentic reverse engineering capability. [razr001/align-dev](https://github.com/razr001/align-dev) (139★) generates shared coding standards as agent-readable SKILL.md files across Claude Code, Codex, Cursor, and Copilot. [PanisHandsome/ai-rules-sync](https://github.com/PanisHandsome/ai-rules-sync) (105★) syncs those rules across agent runtimes. Skills are no longer generic prompt bundles — they are becoming professional-domain packs targeting security analysts, reverse engineers, and frontend teams.
41 +
42 +**Agent control and observability matures into required infrastructure.** The question of what happens while an agent runs — not just what it produces — attracted serious engineering attention this week. [chaitanyagiri/munder-difflin](https://github.com/chaitanyagiri/munder-difflin) (345★, TypeScript) provides a local multi-agent harness with memory. [duncatzat/vigils](https://github.com/duncatzat/vigils) (281★) audits and approves agent actions before they execute. [ntd4996/agentpet](https://github.com/ntd4996/agentpet) (97★, Swift) puts Claude Code, Codex, and Gemini CLI monitoring in a macOS menu bar. [LiteLLM-Labs/litellm-rust](https://github.com/LiteLLM-Labs/litellm-rust) (116★) builds a minimal Rust gateway purpose-built for coding agent traffic. The infrastructure ring around running and observing agents is now populated enough to constitute a category.
43 +
44 +**Censorship circumvention becomes a volume signal.** The week's most geopolitically significant finding is not in the AI section. `bypass`, `dpi-bypass`, `goodbyedpi`, `zapret`, `russia`, `telegram-fix`, `discord-fix`, and `youtube-fix` each appear in top_topics at count 31 — a tight cluster suggesting a coordinated deployment campaign of repos targeting Russian internet censorship. [rstagit/rstaspoof](https://github.com/rstagit/rstaspoof) (211★, Go) and [FengZi1221/proxy-installer](https://github.com/FengZi1221/proxy-installer) (123★, Go) are among the more technically credible entries. The DPI bypass tools' presence in GitHub's trending data is a direct readout of geopolitical access pressure — not a software-ecosystem trend, but a social one that the pipeline is picking up.
45 +
46 +**Offensive security adopts the agent model.** Security work this week skewed sharply offensive relative to W22's supply-chain scanner focus. [PentesterFlow/agent](https://github.com/PentesterFlow/agent) (298★, TypeScript) brings agentic offensive security to the terminal as a packaged tool. [Mr-Un1k0d3r/AzureRedOps](https://github.com/Mr-Un1k0d3r/AzureRedOps) (132★, Python) targets Microsoft Entra ID security posture assessment. [Arenbai/SecSkills](https://github.com/Arenbai/SecSkills) (98★) packages penetration testing per PTES standards as a Claude Code skill covering full-phase exploitation. [0xABCD01/CVE-2026-41089](https://github.com/0xABCD01/CVE-2026-41089) (157★) drops a CVSS 9.8 Netlogon stack buffer overflow PoC the same week. Offensive tools are actively integrating into the skills and agent distribution model — the same ecosystem move defenders have been slow to make.
47 +
48 +## Where Industry Meets Code
49 +
50 +Press this week was heavy with institutional signals: GitHub Universe declared the "agentic era," GitHub Copilot rebranded as an [agent-native desktop experience](https://github.blog/news-insights/product-news/github-copilot-app-the-agent-native-desktop-experience/), NVIDIA pushed physical AI and agentic deployment across COMPUTEX at scale, and TechCrunch reported the NSA adopting Anthropic's Mythos for cyber operations. Developer activity in new_repos correlates with the GitHub framing most directly — the agent control planes, harnesses, skills packs, and local sandboxes that dominated the week are exactly the infrastructure developers build when they're preparing for agentic workflows at production scale. NVIDIA's physical AI pitch finds a loose but real counterpart in hardware-adjacent hobbyist projects like [cpaczek/skylight](https://github.com/cpaczek/skylight) (1,867★) and [MatixYo/ESP32-Plane-Radar](https://github.com/MatixYo/ESP32-Plane-Radar) (390★) — not enterprise robotics, but the same ADS-B and edge-compute instincts manifesting at hobbyist scale.
51 +
52 +The divergence story is more instructive. The NSA/Anthropic Mythos story treated AI security as a government deployment question; developers this week treated it as an attack-surface problem, shipping offensive agent tools and exploit PoCs rather than detection and compliance infrastructure. Supabase's $10B valuation landed with press coverage but no corresponding momentum in new_repos — infrastructure investment and infrastructure building are moving on decoupled schedules. Most significantly, the entire 31-repo DPI bypass and censorship-circumvention wave received zero press coverage despite being the most geopolitically reactive developer pattern of the week. The press is tracking AI venture capital; developers are reacting to state-level internet restrictions in real time.
53 +
54 +## Signal & Noise
55 +
56 +The durable signal this week clusters coherently across three infrastructure families. The agent memory and control layer — [ClaudioDrews/memory-os](https://github.com/ClaudioDrews/memory-os), [zaydmulani09/mnemo](https://github.com/zaydmulani09/mnemo), [duncatzat/vigils](https://github.com/duncatzat/vigils), [chaitanyagiri/munder-difflin](https://github.com/chaitanyagiri/munder-difflin) — continues the W22 pattern with new architectures rather than clones; fork counts and topic specificity confirm genuine practitioner engagement. The skills verticalization cluster — [openai/role-specific-plugins](https://github.com/openai/role-specific-plugins), [cellebrite-labs/ghidra-rpc](https://github.com/cellebrite-labs/ghidra-rpc), [razr001/align-dev](https://github.com/razr001/align-dev) — represents domain deepening, not mere repackaging. And the hardware-adjacent hobbyist tier — [cpaczek/skylight](https://github.com/cpaczek/skylight), [MatixYo/ESP32-Plane-Radar](https://github.com/MatixYo/ESP32-Plane-Radar) — is technically earnest, with rich topic sets and fork activity.
57 +
58 +The noise floor is heavier than W22. [pewdiepie-archdaemon/odysseus](https://github.com/pewdiepie-archdaemon/odysseus) demands scrutiny: 56,488 stars in under a week, zero topics, a one-sentence description, and an account name with no visible prior project history. Its `stars_gained` equals its total star count — meaning all stars arrived in this single crawl window. Fork count (6,748) is not implausible but the velocity pattern echoes the coordinated star-farming clusters flagged in W22. The repository may eventually justify its star count; it does not today. Separately, the crack/activator cluster (KMS Tools, Acrobat Pro, Lossless Scaling, Soundpad, CapCut Pro) clusters at 181–200 stars with zero forks — identical coordination signature to W22's spam wave. Polymarket trading bots with copy-paste, keyword-repetition descriptions reappear. Hardware spoofer repos with valorant and HWID topics pad the count further. `stars_gained` is populated for only one repo across all 235 trending entries, meaning the trending list functions as a popularity catalog rather than a momentum leaderboard — the W22 caveat persists.
59 +
60 +## Blind Spots
61 +
62 +Neither press nor developers are addressing **agent behavior testing** with any seriousness. The skills economy, memory layer, and control planes are advancing in parallel, but no repo this week is building the infrastructure to verify that agent actions are correct, bounded, or reproducible under varying inputs. Production reliability claims for agent-built systems are assertions; a testability layer would make them properties. Second, **enterprise-grade AI governance tooling** is entirely absent — no policy-as-code for agent permissions, no audit trails that satisfy SOC2 or ISO 27001, no jurisdiction-aware content filtering. The NSA Mythos story tells you institutional AI deployment is happening; the developer feed tells you compliance infrastructure for that deployment does not exist yet. Third, the censorship-bypass surge reveals a third gap: **no defensive tooling for the AI access fracture**. As state-level restrictions fragment who can access which models from which jurisdictions, there is no infrastructure for monitoring or bridging that fracture programmatically.
63 +
64 +## The Week Ahead
65 +
66 +The local-sovereignty infrastructure trend is in active acceleration with no sign of peaking — expect additional memory, control-plane, and sandboxing releases as the odysseus star count (whatever its provenance) validates demand for the category. The offensive security and agent crossover ([PentesterFlow/agent](https://github.com/PentesterFlow/agent), [Arenbai/SecSkills](https://github.com/Arenbai/SecSkills)) is early but directional; watch for detection tooling and blue-team responses emerging within the next two weeks. The DPI bypass cluster will either sustain as a recurring geopolitical readout or consolidate — next week's crawl will be diagnostic. GitHub Universe's institutional framing and Anthropic's approaching IPO will continue to amplify enterprise AI narratives; the open question is whether that institutional momentum catalyzes developer-side compliance and governance tooling, which remains the week's most conspicuous gap.
67 +
68 +## Key References
69 +
70 +### Notable Projects
71 +
72 +- [pewdiepie-archdaemon/odysseus](https://github.com/pewdiepie-archdaemon/odysseus) — Self-hosted AI workspace with 56,488 stars in a single crawl window; the week's dominant number and the sovereignty narrative's anchor, though its star velocity and zero-topic profile demand healthy skepticism.
73 +- [ClaudioDrews/memory-os](https://github.com/ClaudioDrews/memory-os) — Seven-layer memory operating system for Hermes Agent with Qdrant, structured facts, and surgical context injection; the most architecturally complete local-first memory release of the week.
74 +- [duncatzat/vigils](https://github.com/duncatzat/vigils) — Local control plane for AI agents in Rust+Tauri providing real-time action approval, audit logging, and secret isolation; fills the agent governance gap the enterprise press is not discussing.
75 +- [chaitanyagiri/munder-difflin](https://github.com/chaitanyagiri/munder-difflin) — Local multi-agent harness with memory and Claude Code integration; the name is a joke but the implementation is a real orchestration layer.
76 +- [tastyeffectco/sandboxes](https://github.com/tastyeffectco/sandboxes) — Self-hosted dev sandboxes with preview URLs deployable without Kubernetes; purpose-built for coding agents with an explicit one-command design constraint.
77 +- [openai/role-specific-plugins](https://github.com/openai/role-specific-plugins) — OpenAI's Codex plugin templates for role-specific agent behavior; the most institutionally significant skills-economy release of the week.
78 +- [cellebrite-labs/ghidra-rpc](https://github.com/cellebrite-labs/ghidra-rpc) — Ghidra exposed as an agentic reverse engineering skill from Cellebrite Labs; expands agent capabilities into serious binary analysis territory.
79 +- [cpaczek/skylight](https://github.com/cpaczek/skylight) — Projects live ADS-B aircraft onto a ceiling in real time alongside sun, moon, and ISS tracking; 1,867 stars in days indicates strong hobbyist crossover demand at the hardware-software boundary.
80 +- [PentesterFlow/agent](https://github.com/PentesterFlow/agent) — Agentic offensive security in the terminal; the clearest evidence that attacker tooling is adopting the agent distribution model.
81 +- [razr001/align-dev](https://github.com/razr001/align-dev) — Generates shared coding standards and SKILL.md files consumable by Claude Code, Codex, Cursor, and Copilot; the most practical multi-agent standardization entry of the week.
82 +
83 +### Press & Industry
84 +
85 +- [GitHub Universe is back: All together now, in the agentic era](https://github.blog/news-insights/company-news/github-universe-is-back-all-together-now-in-the-agentic-era/) — GitHub's institutional framing directly correlates with the agent infrastructure activity visible in new_repos this week.
86 +- [GitHub Copilot app: The agent-native desktop experience](https://github.blog/news-insights/product-news/github-copilot-app-the-agent-native-desktop-experience/) — Copilot repositioned as a desktop agent runtime; accelerates demand for local control planes, observability tooling, and agent sandboxes.
87 +- [NSA said to be readying Anthropic's Mythos for use in cyber operations](https://techcrunch.com/2026/06/05/nsa-said-to-be-readying-anthropics-mythos-for-use-in-cyber-operations/) — The week's most consequential security story; developer response in new_repos was offensive tooling and exploit PoCs, not defensive infrastructure.
88 +- [NVIDIA Enables the Next Era Of Physical AI Research With Agent Skills For Autonomous Vehicles, Robotics And Vision AI](https://blogs.nvidia.com/blog/cvpr-physical-ai-research-agent-skills/) — NVIDIA's COMPUTEX physical AI push; hardware-adjacent hobbyist repos in new_repos are a grassroots counterpart to the enterprise framing.
89 +- [Ahead of its IPO, Anthropic's Daniela Amodei shrugs off doubts about AI's returns](https://techcrunch.com/2026/06/04/ahead-of-its-ipo-anthropics-daniela-amodei-shrugs-off-doubts-about-ais-returns/) — Anthropic IPO context; the local-sovereignty and self-hosted AI impulse visible in developer activity this week is a direct counternarrative to centralized AI investment concentration.
data/candidates/2026-W23/27056632166/diagnostics/candidate-copilot-cli-attempt-0.md new
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1 +---
2 +title: "Sovereignty Streak, Agent Skills Go Vertical, and GitHub's DPI-Bypass Flood"
3 +date: 2026-06-06T07:49:43Z
4 +week: "2026-W23"
5 +year: 2026
6 +tags: [self-hosted, agent-skills, ai-memory, coding-agents, censorship-bypass, offensive-security, exploit-churn]
7 +categories: [weekly]
8 +repos_featured: 443
9 +stars_tracked: 17200000
10 +top_repo: "pewdiepie-archdaemon/odysseus"
11 +quality_score: 76
12 +summary: "Week 23 amplifies two W22 trends — agent memory infrastructure and skills verticalization — while a suspicious 56k-star self-hosted AI workspace, a coordinated Russian censorship-bypass wave, and the heaviest offensive-security agent activity of the year reshape what noise looks like at scale."
13 +predictions:
14 + - repo: duncatzat/vigils
15 + claim_type: signal
16 + direction: up
17 + confidence: 0.78
18 + - repo: tastyeffectco/sandboxes
19 + claim_type: signal
20 + direction: up
21 + confidence: 0.72
22 + - repo: openai/role-specific-plugins
23 + claim_type: signal
24 + direction: up
25 + confidence: 0.75
26 + - repo: PentesterFlow/agent
27 + claim_type: signal
28 + direction: up
29 + confidence: 0.70
30 + - repo: pewdiepie-archdaemon/odysseus
31 + claim_type: noise
32 + direction: flat
33 + confidence: 0.65
34 +---
35 +
36 +## This Week's Trends
37 +
38 +**The local-sovereignty impulse crystallises into a pattern.** Multiple independent projects this week converge on one thesis: run AI infrastructure yourself, trust no cloud. [ClaudioDrews/memory-os](https://github.com/ClaudioDrews/memory-os) (895★, Python) delivers a seven-layer memory operating system for Hermes Agent with Qdrant integration, surgical context injection, and a hard local-first constraint — any LLM provider, no vendor lock-in. [tastyeffectco/sandboxes](https://github.com/tastyeffectco/sandboxes) (445★, Go) brings self-hosted dev sandboxes with preview URLs to coding agents without Kubernetes. [zaydmulani09/mnemo](https://github.com/zaydmulani09/mnemo) (186★, Rust) builds a local-first knowledge graph and semantic retrieval layer for any LLM backend. [duncatzat/vigils](https://github.com/duncatzat/vigils) (281★, Rust+Tauri) adds real-time approval gating and secret isolation for AI agent actions. Individually these are interesting; together they describe a coherent stack assembling from the bottom up, driven by developers who want sovereignty over the infrastructure that runs their agents.
39 +
40 +**Agent skills deepen into domain verticals.** The W22 observation that skills are becoming a distribution layer is sharpening in W23 into something more specific: specialized professional packs aimed at discrete practitioner communities. [openai/role-specific-plugins](https://github.com/openai/role-specific-plugins) (175★) formalizes Codex plugin templates for role-specific behavior — the most institutionally significant skills entry of the week. [cellebrite-labs/ghidra-rpc](https://github.com/cellebrite-labs/ghidra-rpc) (140★) exposes Ghidra as an agentic reverse engineering capability. [razr001/align-dev](https://github.com/razr001/align-dev) (139★) generates shared coding standards as agent-readable SKILL.md files across Claude Code, Codex, Cursor, and Copilot. [PanisHandsome/ai-rules-sync](https://github.com/PanisHandsome/ai-rules-sync) (105★) syncs those rules across agent runtimes. Skills are no longer generic prompt bundles — they are becoming professional-domain packs targeting security analysts, reverse engineers, and frontend teams.
41 +
42 +**Agent control and observability matures into required infrastructure.** The question of what happens while an agent runs — not just what it produces — attracted serious engineering attention this week. [chaitanyagiri/munder-difflin](https://github.com/chaitanyagiri/munder-difflin) (345★, TypeScript) provides a local multi-agent harness with memory. [duncatzat/vigils](https://github.com/duncatzat/vigils) (281★) audits and approves agent actions before they execute. [ntd4996/agentpet](https://github.com/ntd4996/agentpet) (97★, Swift) puts Claude Code, Codex, and Gemini CLI monitoring in a macOS menu bar. [LiteLLM-Labs/litellm-rust](https://github.com/LiteLLM-Labs/litellm-rust) (116★) builds a minimal Rust gateway purpose-built for coding agent traffic. The infrastructure ring around running and observing agents is now populated enough to constitute a category.
43 +
44 +**Censorship circumvention becomes a volume signal.** The week's most geopolitically significant finding is not in the AI section. `bypass`, `dpi-bypass`, `goodbyedpi`, `zapret`, `russia`, `telegram-fix`, `discord-fix`, and `youtube-fix` each appear in top_topics at count 31 — a tight cluster suggesting a coordinated deployment campaign of repos targeting Russian internet censorship. [rstagit/rstaspoof](https://github.com/rstagit/rstaspoof) (211★, Go) and [FengZi1221/proxy-installer](https://github.com/FengZi1221/proxy-installer) (123★, Go) are among the more technically credible entries. The DPI bypass tools' presence in GitHub's trending data is a direct readout of geopolitical access pressure — not a software-ecosystem trend, but a social one that the pipeline is picking up.
45 +
46 +**Offensive security adopts the agent model.** Security work this week skewed sharply offensive relative to W22's supply-chain scanner focus. [PentesterFlow/agent](https://github.com/PentesterFlow/agent) (298★, TypeScript) brings agentic offensive security to the terminal as a packaged tool. [Mr-Un1k0d3r/AzureRedOps](https://github.com/Mr-Un1k0d3r/AzureRedOps) (132★, Python) targets Microsoft Entra ID security posture assessment. [Arenbai/SecSkills](https://github.com/Arenbai/SecSkills) (98★) packages penetration testing per PTES standards as a Claude Code skill covering full-phase exploitation. [0xABCD01/CVE-2026-41089](https://github.com/0xABCD01/CVE-2026-41089) (157★) drops a CVSS 9.8 Netlogon stack buffer overflow PoC the same week. Offensive tools are actively integrating into the skills and agent distribution model — the same ecosystem move defenders have been slow to make.
47 +
48 +## Where Industry Meets Code
49 +
50 +Press this week was heavy with institutional signals: GitHub Universe declared the "agentic era," GitHub Copilot rebranded as an [agent-native desktop experience](https://github.blog/news-insights/product-news/github-copilot-app-the-agent-native-desktop-experience/), NVIDIA pushed physical AI and agentic deployment across COMPUTEX at scale, and TechCrunch reported the NSA adopting Anthropic's Mythos for cyber operations. Developer activity in new_repos correlates with the GitHub framing most directly — the agent control planes, harnesses, skills packs, and local sandboxes that dominated the week are exactly the infrastructure developers build when they're preparing for agentic workflows at production scale. NVIDIA's physical AI pitch finds a loose but real counterpart in hardware-adjacent hobbyist projects like [cpaczek/skylight](https://github.com/cpaczek/skylight) (1,867★) and [MatixYo/ESP32-Plane-Radar](https://github.com/MatixYo/ESP32-Plane-Radar) (390★) — not enterprise robotics, but the same ADS-B and edge-compute instincts manifesting at hobbyist scale.
51 +
52 +The divergence story is more instructive. The NSA/Anthropic Mythos story treated AI security as a government deployment question; developers this week treated it as an attack-surface problem, shipping offensive agent tools and exploit PoCs rather than detection and compliance infrastructure. Supabase's $10B valuation landed with press coverage but no corresponding momentum in new_repos — infrastructure investment and infrastructure building are moving on decoupled schedules. Most significantly, the entire 31-repo DPI bypass and censorship-circumvention wave received zero press coverage despite being the most geopolitically reactive developer pattern of the week. The press is tracking AI venture capital; developers are reacting to state-level internet restrictions in real time.
53 +
54 +## Signal & Noise
55 +
56 +The durable signal this week clusters coherently across three infrastructure families. The agent memory and control layer — [ClaudioDrews/memory-os](https://github.com/ClaudioDrews/memory-os), [zaydmulani09/mnemo](https://github.com/zaydmulani09/mnemo), [duncatzat/vigils](https://github.com/duncatzat/vigils), [chaitanyagiri/munder-difflin](https://github.com/chaitanyagiri/munder-difflin) — continues the W22 pattern with new architectures rather than clones; fork counts and topic specificity confirm genuine practitioner engagement. The skills verticalization cluster — [openai/role-specific-plugins](https://github.com/openai/role-specific-plugins), [cellebrite-labs/ghidra-rpc](https://github.com/cellebrite-labs/ghidra-rpc), [razr001/align-dev](https://github.com/razr001/align-dev) — represents domain deepening, not mere repackaging. And the hardware-adjacent hobbyist tier — [cpaczek/skylight](https://github.com/cpaczek/skylight), [MatixYo/ESP32-Plane-Radar](https://github.com/MatixYo/ESP32-Plane-Radar) — is technically earnest, with rich topic sets and fork activity.
57 +
58 +The noise floor is heavier than W22. [pewdiepie-archdaemon/odysseus](https://github.com/pewdiepie-archdaemon/odysseus) demands scrutiny: 56,488 stars in under a week, zero topics, a one-sentence description, and an account name with no visible prior project history. Its `stars_gained` equals its total star count — meaning all stars arrived in this single crawl window. Fork count (6,748) is not implausible but the velocity pattern echoes the coordinated star-farming clusters flagged in W22. The repository may eventually justify its star count; it does not today. Separately, the crack/activator cluster (KMS Tools, Acrobat Pro, Lossless Scaling, Soundpad, CapCut Pro) clusters at 181–200 stars with zero forks — identical coordination signature to W22's spam wave. Polymarket trading bots with copy-paste, keyword-repetition descriptions reappear. Hardware spoofer repos with valorant and HWID topics pad the count further. `stars_gained` is populated for only one repo across all 235 trending entries, meaning the trending list functions as a popularity catalog rather than a momentum leaderboard — the W22 caveat persists.
59 +
60 +## Blind Spots
61 +
62 +Neither press nor developers are addressing **agent behavior testing** with any seriousness. The skills economy, memory layer, and control planes are advancing in parallel, but no repo this week is building the infrastructure to verify that agent actions are correct, bounded, or reproducible under varying inputs. Production reliability claims for agent-built systems are assertions; a testability layer would make them properties. Second, **enterprise-grade AI governance tooling** is entirely absent — no policy-as-code for agent permissions, no audit trails that satisfy SOC2 or ISO 27001, no jurisdiction-aware content filtering. The NSA Mythos story tells you institutional AI deployment is happening; the developer feed tells you compliance infrastructure for that deployment does not exist yet. Third, the censorship-bypass surge reveals a third gap: **no defensive tooling for the AI access fracture**. As state-level restrictions fragment who can access which models from which jurisdictions, there is no infrastructure for monitoring or bridging that fracture programmatically.
63 +
64 +## The Week Ahead
65 +
66 +The local-sovereignty infrastructure trend is in active acceleration with no sign of peaking — expect additional memory, control-plane, and sandboxing releases as the odysseus star count (whatever its provenance) validates demand for the category. The offensive security and agent crossover ([PentesterFlow/agent](https://github.com/PentesterFlow/agent), [Arenbai/SecSkills](https://github.com/Arenbai/SecSkills)) is early but directional; watch for detection tooling and blue-team responses emerging within the next two weeks. The DPI bypass cluster will either sustain as a recurring geopolitical readout or consolidate — next week's crawl will be diagnostic. GitHub Universe's institutional framing and Anthropic's approaching IPO will continue to amplify enterprise AI narratives; the open question is whether that institutional momentum catalyzes developer-side compliance and governance tooling, which remains the week's most conspicuous gap.
67 +
68 +## Key References
69 +
70 +### Notable Projects
71 +
72 +- [pewdiepie-archdaemon/odysseus](https://github.com/pewdiepie-archdaemon/odysseus) — Self-hosted AI workspace with 56,488 stars in a single crawl window; the week's dominant number and the sovereignty narrative's anchor, though its star velocity and zero-topic profile demand healthy skepticism.
73 +- [ClaudioDrews/memory-os](https://github.com/ClaudioDrews/memory-os) — Seven-layer memory operating system for Hermes Agent with Qdrant, structured facts, and surgical context injection; the most architecturally complete local-first memory release of the week.
74 +- [duncatzat/vigils](https://github.com/duncatzat/vigils) — Local control plane for AI agents in Rust+Tauri providing real-time action approval, audit logging, and secret isolation; fills the agent governance gap the enterprise press is not discussing.
75 +- [chaitanyagiri/munder-difflin](https://github.com/chaitanyagiri/munder-difflin) — Local multi-agent harness with memory and Claude Code integration; the name is a joke but the implementation is a real orchestration layer.
76 +- [tastyeffectco/sandboxes](https://github.com/tastyeffectco/sandboxes) — Self-hosted dev sandboxes with preview URLs deployable without Kubernetes; purpose-built for coding agents with an explicit one-command design constraint.
77 +- [openai/role-specific-plugins](https://github.com/openai/role-specific-plugins) — OpenAI's Codex plugin templates for role-specific agent behavior; the most institutionally significant skills-economy release of the week.
78 +- [cellebrite-labs/ghidra-rpc](https://github.com/cellebrite-labs/ghidra-rpc) — Ghidra exposed as an agentic reverse engineering skill from Cellebrite Labs; expands agent capabilities into serious binary analysis territory.
79 +- [cpaczek/skylight](https://github.com/cpaczek/skylight) — Projects live ADS-B aircraft onto a ceiling in real time alongside sun, moon, and ISS tracking; 1,867 stars in days indicates strong hobbyist crossover demand at the hardware-software boundary.
80 +- [PentesterFlow/agent](https://github.com/PentesterFlow/agent) — Agentic offensive security in the terminal; the clearest evidence that attacker tooling is adopting the agent distribution model.
81 +- [razr001/align-dev](https://github.com/razr001/align-dev) — Generates shared coding standards and SKILL.md files consumable by Claude Code, Codex, Cursor, and Copilot; the most practical multi-agent standardization entry of the week.
82 +
83 +### Press & Industry
84 +
85 +- [GitHub Universe is back: All together now, in the agentic era](https://github.blog/news-insights/company-news/github-universe-is-back-all-together-now-in-the-agentic-era/) — GitHub's institutional framing directly correlates with the agent infrastructure activity visible in new_repos this week.
86 +- [GitHub Copilot app: The agent-native desktop experience](https://github.blog/news-insights/product-news/github-copilot-app-the-agent-native-desktop-experience/) — Copilot repositioned as a desktop agent runtime; accelerates demand for local control planes, observability tooling, and agent sandboxes.
87 +- [NSA said to be readying Anthropic's Mythos for use in cyber operations](https://techcrunch.com/2026/06/05/nsa-said-to-be-readying-anthropics-mythos-for-use-in-cyber-operations/) — The week's most consequential security story; developer response in new_repos was offensive tooling and exploit PoCs, not defensive infrastructure.
88 +- [NVIDIA Enables the Next Era Of Physical AI Research With Agent Skills For Autonomous Vehicles, Robotics And Vision AI](https://blogs.nvidia.com/blog/cvpr-physical-ai-research-agent-skills/) — NVIDIA's COMPUTEX physical AI push; hardware-adjacent hobbyist repos in new_repos are a grassroots counterpart to the enterprise framing.
89 +- [Ahead of its IPO, Anthropic's Daniela Amodei shrugs off doubts about AI's returns](https://techcrunch.com/2026/06/04/ahead-of-its-ipo-anthropics-daniela-amodei-shrugs-off-doubts-about-ais-returns/) — Anthropic IPO context; the local-sovereignty and self-hosted AI impulse visible in developer activity this week is a direct counternarrative to centralized AI investment concentration.
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1 +---
2 +title: "Skills Go Vertical, Hardware Gets Smart, and the Spam Floor Gets Louder"
3 +date: 2026-06-08 12:40:47+00:00
4 +week: "2026-W24"
5 +tags: ["agent-skills", "coding-agents", "hardware-adjacent", "local-first", "noise-floor", "chinese-developer-ecosystem", "ai-security"]
6 +categories: ["weekly"]
7 +repos_featured: 390
8 +stars_tracked: 16480000
9 +top_repo: "cpaczek/skylight"
10 +summary: "Week 24 deepens two W23 patterns — agent skills verticalization and local-sovereignty tooling — while a high-star hardware-crossover project (skylight) anchors the week's legitimate creativity and a heavier-than-usual noise floor of coordinated spam, activator repos, and crypto fraud tools demands editorial filtering."
11 +draft: false
12 +---
13 +
14 +## This Week's Trends
15 +
16 +**Agent skills are no longer generic — they are professional vertical tools.** The W23 observation that skills packs are becoming a distribution layer has sharpened considerably in W24. The entries this week target discrete practitioner communities rather than general developers: [JimLiu/baoyu-design](https://github.com/JimLiu/baoyu-design) (453★, JavaScript) brings Claude Design locally as an agent skill for UI mockups and prototypes in Cursor and Claude Code; [amElnagdy/guard-skills](https://github.com/amElnagdy/guard-skills) (412★) provides quality gates that catch AI-generated failure modes in code, tests, and docs; [razr001/align-dev](https://github.com/razr001/align-dev) (320★, TypeScript) generates shared coding standards consumable by Claude Code, Codex, Cursor, and Copilot; [Forsy-AI/forsy-trace-skill](https://github.com/Forsy-AI/forsy-trace-skill) (102★) captures agent work as structured traces for evaluation and post-training. [openai/role-specific-plugins](https://github.com/openai/role-specific-plugins) (224★, Python) formalizes role-specific Codex plugin templates from OpenAI itself — the most institutionally significant skills release of the week. The question is no longer whether skills are a real distribution format; it is how quickly domain-specific professional packs will displace generic prompt-bundle approaches.
17 +
18 +**Hardware-software crossover finds a new high-water mark.** [cpaczek/skylight](https://github.com/cpaczek/skylight) (2332★, TypeScript) is the week's breakout: an RTL-SDR setup that projects live ADS-B aircraft overhead onto your ceiling in real time, alongside sun, moon, stars, and ISS tracking. The star velocity and rich topic set (ads-b, rtl-sdr, raspberry-pi, react, aircraft, art-installation) indicate genuine practitioner enthusiasm, not hype-farm activity. This continues the W23 theme where hardware-adjacent hobbyist repos demonstrated that real-time physical sensing is becoming casual build territory. Adding to the pattern: Linus Torvalds published [torvalds/ScrollWheel](https://github.com/torvalds/ScrollWheel) (247★, C), a minimalist RP2350 magnetic sensor scroll wheel toy, underscoring that even the kernel's lead maintainer is playing at the physical-compute boundary.
19 +
20 +**Local-first and self-sovereignty tooling is in active inventory expansion.** The W23 pattern continues with new specific entries. [tastyeffectco/sandboxd](https://github.com/tastyeffectco/sandboxd) (508★, Go) delivers self-hosted dev sandboxes with preview URLs in a single command, explicitly targeting coding agents without requiring Kubernetes — effectively a week-two W23 follow-on after sandboxes from the same author. [NoopApp/noop](https://github.com/NoopApp/noop) (432★, Swift) is an offline WHOOP companion that syncs over Bluetooth and keeps all data on-device with no cloud and no subscription — the sovereignty impulse applied to wearables. [zaydmulani09/mnemo](https://github.com/zaydmulani09/mnemo) (196★, Rust) provides a local-first AI memory layer and semantic retrieval for any LLM backend. [mysk-research/loupe](https://github.com/mysk-research/loupe) (302★) raises user awareness about what iOS native apps can observe — the privacy-first instinct finding a new form factor.
21 +
22 +**A parallel Chinese developer ecosystem is actively bridging Western coding agents and domestic models.** [xqnode/codex-helper](https://github.com/xqnode/codex-helper) (119★, Rust) is a Windows/macOS tray app that lets Codex Desktop switch to DeepSeek, Qwen, Zhipu, Kimi, and MiniMax via local proxy translation. [Liuxiangjian-ai/cet-skill](https://github.com/Liuxiangjian-ai/cet-skill) (60★) codifies CET-4/6 exam analysis as a Codex skill. Multiple Chinese-language skills packs (GordenSuperPPTSkills, ian-xiaohei-scenes, script-forging) indicate a localizing layer building on top of Western agent runtimes. This pattern is new relative to W23 in its breadth and specificity.
23 +
24 +## Where Industry Meets Code
25 +
26 +Press this week was dominated by NVIDIA's COMPUTEX output — physical AI, agentic deployment, factory operations blueprints, and RTX Spark at Korean PC bangs — alongside OpenAI's Lockdown Mode announcement and GitHub's continued agentic era framing. The developer-side correlation with the GitHub Universe narrative ([GitHub Universe is back: All together now, in the agentic era](https://github.blog/news-insights/company-news/github-universe-is-back-all-together-now-in-the-agentic-era/)) is direct and measurable: the agent skills packs, control planes, and coding standards generators flooding new_repos are exactly the infrastructure developers build when institutional framing validates the category. OpenAI's [Lockdown Mode](https://techcrunch.com/2026/06/06/openai-unveils-lockdown-mode-to-protect-sensitive-data-from-prompt-injection-attacks/) story — prompt injection protection as a product feature — also correlates loosely with the guard-skills and align-dev cluster, though the developer response is building offense and standards, not injection defense specifically.
27 +
28 +The divergences are more instructive. NVIDIA's press campaign this week was entirely about enterprise physical AI, autonomous vehicles, and factory robotics; developers in new_repos are building ceiling aircraft projectors and toy scroll wheels — the same ADS-B and edge-compute instinct, at hobbyist scale, without the $100M infrastructure sell. Supabase's $10B valuation story received significant coverage ([Supabase doubles valuation to $10B in 8 months](https://techcrunch.com/2026/06/05/supabase-doubles-valuation-to-10b-in-8-months/)) but generated zero corresponding activity in new_repos — infrastructure investment and infrastructure building remain on decoupled schedules. Most conspicuously absent from all press coverage this week: the Chinese developer ecosystem's coordinated effort to make Western coding agents (Claude Code, Codex, Copilot) run against domestic model backends. That is a material ecosystem shift with geopolitical undercurrents that technology journalism is not tracking.
29 +
30 +## Signal & Noise
31 +
32 +The durable signal this week clusters in three families. The agent skills verticalization cluster — [amElnagdy/guard-skills](https://github.com/amElnagdy/guard-skills), [razr001/align-dev](https://github.com/razr001/align-dev), [JimLiu/baoyu-design](https://github.com/JimLiu/baoyu-design), [openai/role-specific-plugins](https://github.com/openai/role-specific-plugins), [Forsy-AI/forsy-trace-skill](https://github.com/Forsy-AI/forsy-trace-skill) — passes the key tests: domain specificity, non-trivial implementations, active fork counts, and topic sets that indicate practitioner rather than hype-driven audiences. The local-sovereignty cluster — [tastyeffectco/sandboxd](https://github.com/tastyeffectco/sandboxd), [zaydmulani09/mnemo](https://github.com/zaydmulani09/mnemo), [NoopApp/noop](https://github.com/NoopApp/noop), [mysk-research/loupe](https://github.com/mysk-research/loupe) — is technically earnest with specific problem scopes and real fork activity. The hardware crossover tier — [cpaczek/skylight](https://github.com/cpaczek/skylight), [torvalds/ScrollWheel](https://github.com/torvalds/ScrollWheel) — has the authentic signals of genuine creative work: rich topic sets, unusual technical specificity, and star velocity that looks like genuine discovery rather than coordination.
33 +
34 +The noise floor this week is heavier than W23 and follows several distinct patterns. The most transparent is the Polymarket trading bot wave: [Trade-of-Economics-in-Warsaw/polymarket-signal-arbitrage-trading-bot](https://github.com/Trade-of-Economics-in-Warsaw/polymarket-signal-arbitrage-trading-bot) (172★, 3,088 forks — the fork count is implausibly inflated), [VoidSignals/Polymarket-trading-bot](https://github.com/VoidSignals/Polymarket-trading-bot) (166★, 348 forks), and [Obsidian-Trades/polymarket-copy-trading-bot](https://github.com/Obsidian-Trades/polymarket-copy-trading-bot) (144★, 455 forks) all have keyword-repetition descriptions. A second cluster of game cheat and activator repos appeared with suspiciously uniform star counts — multiple repos at exactly 75★ or exactly 65★ within hours of each other, authored by newly created accounts. [Unicornronote/Microsoft-Office-Activated](https://github.com/Unicornronote/Microsoft-Office-Activated) (150★), [aaviasulin123-design/kms-pico-latest-m6](https://github.com/aaviasulin123-design/kms-pico-latest-m6) (126★), and [biplobroy01/kmspisco-v2-portable](https://github.com/biplobroy01/kmspisco-v2-portable) (65★) follow the coordinated-activation pattern from W22 and W23. [amyxvalen/Flash-USDT-Sender](https://github.com/amyxvalen/Flash-USDT-Sender) (66★) explicitly lists "fake-btc-transaction" and "wallet-spoofer" as topics — not ambiguous. Filter and move on.
35 +
36 +## Blind Spots
37 +
38 +Neither press nor developers are addressing **agent skills supply chain security**. Skills packs are now a genuine distribution format — anthropics/skills at 147,856★ in the trending list, dozens of new community packs shipping weekly — but no tooling exists to audit what a SKILL.md file actually does when an agent executes it, whether it phones home, or whether a given skill's instructions can be hijacked by upstream changes. The guard-skills repo (412★) catches bugs in AI-generated code; it does not address the trust model of the skill distribution layer itself. This is an infrastructure gap that will become exploitable before it becomes visible to most practitioners.
39 +
40 +Second, **prompt injection defense tooling is conspicuously absent from developer activity**, despite OpenAI making it a product-level announcement (Lockdown Mode). The press story frames prompt injection as a vendor responsibility; developers are building more agent capabilities, not hardening them. The gap between institutional security posture and practitioner tooling for agent integrity is widening: the attack surface for prompt-injected agent actions is growing faster than the defensive repertoire. Third, agent skills packs from this week — particularly in the Chinese ecosystem — have no **localization and compliance layer**: no jurisdiction-aware content filtering, no audit trail for model routing, no tooling for verifying that domestic model proxies are behaving consistently with their advertised capabilities. The market is building fast; the governance infrastructure for it does not exist.
41 +
42 +## The Week Ahead
43 +
44 +The agent skills verticalization trend is in active acceleration with no plateau signal — expect domain-specific packs for legal, medical, finance, and education practitioner communities to follow the security and design verticals visible this week. The Chinese coding agent ecosystem is early but directional; watch for tooling that lets domestic developers contribute skills packs upstream to Claude Code and Codex environments without model-switching friction. Hardware-adjacent hobbyist work ([cpaczek/skylight](https://github.com/cpaczek/skylight)) is approaching a level of community engagement that suggests a "weekend RTL-SDR project" category may crystallize. The noise floor — coordinated game-cheat star farms, Polymarket bot spam — shows no sign of self-correcting; if anything W24's count is higher than W23's. The platform's filtering job is getting harder, not easier.
45 +
46 +## Key References
47 +
48 +### Notable Projects
49 +
50 +- [cpaczek/skylight](https://github.com/cpaczek/skylight) — Projects live ADS-B aircraft overhead onto your ceiling in real time using RTL-SDR + React + Raspberry Pi; the week's most-starred new repo and the clearest evidence that hardware-adjacent hobbyist work is entering serious creative territory.
51 +- [amElnagdy/guard-skills](https://github.com/amElnagdy/guard-skills) — Quality gates for AI-generated code failures across Claude Code, Codex, and Claude; the week's most practically important skills entry and a signal that quality engineering for agentic workflows is becoming a distinct discipline.
52 +- [JimLiu/baoyu-design](https://github.com/JimLiu/baoyu-design) — Claude Design running locally as an agent skill for Cursor and Claude Code, producing self-contained HTML UI mockups without claude.ai/design; a concrete example of skills unbundling closed vendor capabilities.
53 +- [tastyeffectco/sandboxd](https://github.com/tastyeffectco/sandboxd) — Self-hosted dev sandboxes with preview URLs in a single command and no Kubernetes requirement; purpose-built for coding agents and continues the W23 local-sovereignty infrastructure trend.
54 +- [razr001/align-dev](https://github.com/razr001/align-dev) — Generates shared coding standards and SKILL.md files consumable across Claude Code, Codex, Cursor, and Copilot; the most practically useful multi-agent standardization entry of the week.
55 +- [openai/role-specific-plugins](https://github.com/openai/role-specific-plugins) — OpenAI's official Codex plugin templates for role-specific agent behavior; institutionally significant as the clearest signal that the skills format is a supported first-class distribution layer.
56 +- [NoopApp/noop](https://github.com/NoopApp/noop) — Offline WHOOP companion that syncs over Bluetooth and keeps all health data on-device with no cloud, no account, and no subscription; the sovereignty impulse applied to wearable health data.
57 +- [torvalds/ScrollWheel](https://github.com/torvalds/ScrollWheel) — Linus Torvalds' personal RP2350 magnetic sensor scroll wheel toy; inherently notable as a signal that real-time physical sensing is casual hobbyist territory even at the Linux kernel's highest altitude.
58 +- [xqnode/codex-helper](https://github.com/xqnode/codex-helper) — System-tray proxy for Codex Desktop that routes to DeepSeek, Qwen, Zhipu, Kimi, and MiniMax; the clearest single entry in the emerging Chinese-developer model-bridging pattern.
59 +- [Forsy-AI/forsy-trace-skill](https://github.com/Forsy-AI/forsy-trace-skill) — Captures AI agent work as structured traces for evaluation and post-training; early but filling a genuine observability gap in the agent skills stack.
60 +
61 +### Press & Industry
62 +
63 +- [GitHub Universe is back: All together now, in the agentic era](https://github.blog/news-insights/company-news/github-universe-is-back-all-together-now-in-the-agentic-era/) — GitHub's institutional framing correlates directly with the agent skills and control plane activity visible in new_repos this week.
64 +- [GitHub Copilot app: The agent-native desktop experience](https://github.blog/news-insights/product-news/github-copilot-app-the-agent-native-desktop-experience/) — Copilot reframed as a desktop agent runtime accelerates demand for the coding standards, quality gates, and sandboxing tooling that dominated W24's new_repos.
65 +- [OpenAI unveils Lockdown Mode to protect sensitive data from prompt injection attacks](https://techcrunch.com/2026/06/06/openai-unveils-lockdown-mode-to-protect-sensitive-data-from-prompt-injection-attacks/) — Vendor-level prompt injection defense; notable for the gap it highlights between institutional security posture and developer-side hardening, which is absent from new_repos.
66 +- [NVIDIA Enables the Next Era Of Physical AI Research With Agent Skills For Autonomous Vehicles, Robotics And Vision AI](https://blogs.nvidia.com/blog/cvpr-physical-ai-research-agent-skills/) — NVIDIA's enterprise physical AI framing; developers this week are building ceiling aircraft projectors and toy scroll wheels — the same instinct at hobbyist scale, entirely decoupled from the enterprise narrative.
67 +- [Supabase doubles valuation to $10B in 8 months](https://techcrunch.com/2026/06/05/supabase-doubles-valuation-to-10b-in-8-months/) — High-profile infrastructure investment story with zero corresponding developer activity in new_repos; a clean example of financial and building momentum running on separate clocks.
data/candidates/2026-W24/27137991437/2026-W24-summary.md new
+89
@@ -0,0 +1,89 @@
1 +---
2 +title: "Skills Go Vertical, Hardware Gets Smart, and the Spam Floor Gets Louder"
3 +date: 2026-06-08T12:40:47Z
4 +week: "2026-W24"
5 +year: 2026
6 +tags: [agent-skills, coding-agents, hardware-adjacent, local-first, noise-floor, chinese-developer-ecosystem, ai-security]
7 +categories: [weekly]
8 +repos_featured: 390
9 +stars_tracked: 16480000
10 +top_repo: "cpaczek/skylight"
11 +quality_score: 73
12 +summary: "Week 24 deepens two W23 patterns — agent skills verticalization and local-sovereignty tooling — while a high-star hardware-crossover project (skylight) anchors the week's legitimate creativity and a heavier-than-usual noise floor of coordinated spam, activator repos, and crypto fraud tools demands editorial filtering."
13 +predictions:
14 + - repo: amElnagdy/guard-skills
15 + claim_type: signal
16 + direction: up
17 + confidence: 0.74
18 + - repo: razr001/align-dev
19 + claim_type: signal
20 + direction: up
21 + confidence: 0.70
22 + - repo: tastyeffectco/sandboxd
23 + claim_type: signal
24 + direction: up
25 + confidence: 0.72
26 + - repo: cpaczek/skylight
27 + claim_type: signal
28 + direction: flat
29 + confidence: 0.65
30 + - repo: b-nnett/goose
31 + claim_type: noise
32 + direction: flat
33 + confidence: 0.68
34 +---
35 +
36 +## This Week's Trends
37 +
38 +**Agent skills are no longer generic — they are professional vertical tools.** The W23 observation that skills packs are becoming a distribution layer has sharpened considerably in W24. The entries this week target discrete practitioner communities rather than general developers: [JimLiu/baoyu-design](https://github.com/JimLiu/baoyu-design) (453★, JavaScript) brings Claude Design locally as an agent skill for UI mockups and prototypes in Cursor and Claude Code; [amElnagdy/guard-skills](https://github.com/amElnagdy/guard-skills) (412★) provides quality gates that catch AI-generated failure modes in code, tests, and docs; [razr001/align-dev](https://github.com/razr001/align-dev) (320★, TypeScript) generates shared coding standards consumable by Claude Code, Codex, Cursor, and Copilot; [Forsy-AI/forsy-trace-skill](https://github.com/Forsy-AI/forsy-trace-skill) (102★) captures agent work as structured traces for evaluation and post-training. [openai/role-specific-plugins](https://github.com/openai/role-specific-plugins) (224★, Python) formalizes role-specific Codex plugin templates from OpenAI itself — the most institutionally significant skills release of the week. The question is no longer whether skills are a real distribution format; it is how quickly domain-specific professional packs will displace generic prompt-bundle approaches.
39 +
40 +**Hardware-software crossover finds a new high-water mark.** [cpaczek/skylight](https://github.com/cpaczek/skylight) (2332★, TypeScript) is the week's breakout: an RTL-SDR setup that projects live ADS-B aircraft overhead onto your ceiling in real time, alongside sun, moon, stars, and ISS tracking. The star velocity and rich topic set (ads-b, rtl-sdr, raspberry-pi, react, aircraft, art-installation) indicate genuine practitioner enthusiasm, not hype-farm activity. This continues the W23 theme where hardware-adjacent hobbyist repos demonstrated that real-time physical sensing is becoming casual build territory. Adding to the pattern: Linus Torvalds published [torvalds/ScrollWheel](https://github.com/torvalds/ScrollWheel) (247★, C), a minimalist RP2350 magnetic sensor scroll wheel toy, underscoring that even the kernel's lead maintainer is playing at the physical-compute boundary.
41 +
42 +**Local-first and self-sovereignty tooling is in active inventory expansion.** The W23 pattern continues with new specific entries. [tastyeffectco/sandboxd](https://github.com/tastyeffectco/sandboxd) (508★, Go) delivers self-hosted dev sandboxes with preview URLs in a single command, explicitly targeting coding agents without requiring Kubernetes — effectively a week-two W23 follow-on after sandboxes from the same author. [NoopApp/noop](https://github.com/NoopApp/noop) (432★, Swift) is an offline WHOOP companion that syncs over Bluetooth and keeps all data on-device with no cloud and no subscription — the sovereignty impulse applied to wearables. [zaydmulani09/mnemo](https://github.com/zaydmulani09/mnemo) (196★, Rust) provides a local-first AI memory layer and semantic retrieval for any LLM backend. [mysk-research/loupe](https://github.com/mysk-research/loupe) (302★) raises user awareness about what iOS native apps can observe — the privacy-first instinct finding a new form factor.
43 +
44 +**A parallel Chinese developer ecosystem is actively bridging Western coding agents and domestic models.** [xqnode/codex-helper](https://github.com/xqnode/codex-helper) (119★, Rust) is a Windows/macOS tray app that lets Codex Desktop switch to DeepSeek, Qwen, Zhipu, Kimi, and MiniMax via local proxy translation. [Liuxiangjian-ai/cet-skill](https://github.com/Liuxiangjian-ai/cet-skill) (60★) codifies CET-4/6 exam analysis as a Codex skill. Multiple Chinese-language skills packs (GordenSuperPPTSkills, ian-xiaohei-scenes, script-forging) indicate a localizing layer building on top of Western agent runtimes. This pattern is new relative to W23 in its breadth and specificity.
45 +
46 +## Where Industry Meets Code
47 +
48 +Press this week was dominated by NVIDIA's COMPUTEX output — physical AI, agentic deployment, factory operations blueprints, and RTX Spark at Korean PC bangs — alongside OpenAI's Lockdown Mode announcement and GitHub's continued agentic era framing. The developer-side correlation with the GitHub Universe narrative ([GitHub Universe is back: All together now, in the agentic era](https://github.blog/news-insights/company-news/github-universe-is-back-all-together-now-in-the-agentic-era/)) is direct and measurable: the agent skills packs, control planes, and coding standards generators flooding new_repos are exactly the infrastructure developers build when institutional framing validates the category. OpenAI's [Lockdown Mode](https://techcrunch.com/2026/06/06/openai-unveils-lockdown-mode-to-protect-sensitive-data-from-prompt-injection-attacks/) story — prompt injection protection as a product feature — also correlates loosely with the guard-skills and align-dev cluster, though the developer response is building offense and standards, not injection defense specifically.
49 +
50 +The divergences are more instructive. NVIDIA's press campaign this week was entirely about enterprise physical AI, autonomous vehicles, and factory robotics; developers in new_repos are building ceiling aircraft projectors and toy scroll wheels — the same ADS-B and edge-compute instinct, at hobbyist scale, without the $100M infrastructure sell. Supabase's $10B valuation story received significant coverage ([Supabase doubles valuation to $10B in 8 months](https://techcrunch.com/2026/06/05/supabase-doubles-valuation-to-10b-in-8-months/)) but generated zero corresponding activity in new_repos — infrastructure investment and infrastructure building remain on decoupled schedules. Most conspicuously absent from all press coverage this week: the Chinese developer ecosystem's coordinated effort to make Western coding agents (Claude Code, Codex, Copilot) run against domestic model backends. That is a material ecosystem shift with geopolitical undercurrents that technology journalism is not tracking.
51 +
52 +## Signal & Noise
53 +
54 +The durable signal this week clusters in three families. The agent skills verticalization cluster — [amElnagdy/guard-skills](https://github.com/amElnagdy/guard-skills), [razr001/align-dev](https://github.com/razr001/align-dev), [JimLiu/baoyu-design](https://github.com/JimLiu/baoyu-design), [openai/role-specific-plugins](https://github.com/openai/role-specific-plugins), [Forsy-AI/forsy-trace-skill](https://github.com/Forsy-AI/forsy-trace-skill) — passes the key tests: domain specificity, non-trivial implementations, active fork counts, and topic sets that indicate practitioner rather than hype-driven audiences. The local-sovereignty cluster — [tastyeffectco/sandboxd](https://github.com/tastyeffectco/sandboxd), [zaydmulani09/mnemo](https://github.com/zaydmulani09/mnemo), [NoopApp/noop](https://github.com/NoopApp/noop), [mysk-research/loupe](https://github.com/mysk-research/loupe) — is technically earnest with specific problem scopes and real fork activity. The hardware crossover tier — [cpaczek/skylight](https://github.com/cpaczek/skylight), [torvalds/ScrollWheel](https://github.com/torvalds/ScrollWheel) — has the authentic signals of genuine creative work: rich topic sets, unusual technical specificity, and star velocity that looks like genuine discovery rather than coordination.
55 +
56 +The noise floor this week is heavier than W23 and follows several distinct patterns. The most transparent is the Polymarket trading bot wave: [Trade-of-Economics-in-Warsaw/polymarket-signal-arbitrage-trading-bot](https://github.com/Trade-of-Economics-in-Warsaw/polymarket-signal-arbitrage-trading-bot) (172★, 3,088 forks — the fork count is implausibly inflated), [VoidSignals/Polymarket-trading-bot](https://github.com/VoidSignals/Polymarket-trading-bot) (166★, 348 forks), and [Obsidian-Trades/polymarket-copy-trading-bot](https://github.com/Obsidian-Trades/polymarket-copy-trading-bot) (144★, 455 forks) all have keyword-repetition descriptions. A second cluster of game cheat and activator repos appeared with suspiciously uniform star counts — multiple repos at exactly 75★ or exactly 65★ within hours of each other, authored by newly created accounts. [Unicornronote/Microsoft-Office-Activated](https://github.com/Unicornronote/Microsoft-Office-Activated) (150★), [aaviasulin123-design/kms-pico-latest-m6](https://github.com/aaviasulin123-design/kms-pico-latest-m6) (126★), and [biplobroy01/kmspisco-v2-portable](https://github.com/biplobroy01/kmspisco-v2-portable) (65★) follow the coordinated-activation pattern from W22 and W23. [amyxvalen/Flash-USDT-Sender](https://github.com/amyxvalen/Flash-USDT-Sender) (66★) explicitly lists "fake-btc-transaction" and "wallet-spoofer" as topics — not ambiguous. Filter and move on.
57 +
58 +## Blind Spots
59 +
60 +Neither press nor developers are addressing **agent skills supply chain security**. Skills packs are now a genuine distribution format — anthropics/skills at 147,856★ in the trending list, dozens of new community packs shipping weekly — but no tooling exists to audit what a SKILL.md file actually does when an agent executes it, whether it phones home, or whether a given skill's instructions can be hijacked by upstream changes. The guard-skills repo (412★) catches bugs in AI-generated code; it does not address the trust model of the skill distribution layer itself. This is an infrastructure gap that will become exploitable before it becomes visible to most practitioners.
61 +
62 +Second, **prompt injection defense tooling is conspicuously absent from developer activity**, despite OpenAI making it a product-level announcement (Lockdown Mode). The press story frames prompt injection as a vendor responsibility; developers are building more agent capabilities, not hardening them. The gap between institutional security posture and practitioner tooling for agent integrity is widening: the attack surface for prompt-injected agent actions is growing faster than the defensive repertoire. Third, agent skills packs from this week — particularly in the Chinese ecosystem — have no **localization and compliance layer**: no jurisdiction-aware content filtering, no audit trail for model routing, no tooling for verifying that domestic model proxies are behaving consistently with their advertised capabilities. The market is building fast; the governance infrastructure for it does not exist.
63 +
64 +## The Week Ahead
65 +
66 +The agent skills verticalization trend is in active acceleration with no plateau signal — expect domain-specific packs for legal, medical, finance, and education practitioner communities to follow the security and design verticals visible this week. The Chinese coding agent ecosystem is early but directional; watch for tooling that lets domestic developers contribute skills packs upstream to Claude Code and Codex environments without model-switching friction. Hardware-adjacent hobbyist work ([cpaczek/skylight](https://github.com/cpaczek/skylight)) is approaching a level of community engagement that suggests a "weekend RTL-SDR project" category may crystallize. The noise floor — coordinated game-cheat star farms, Polymarket bot spam — shows no sign of self-correcting; if anything W24's count is higher than W23's. The platform's filtering job is getting harder, not easier.
67 +
68 +## Key References
69 +
70 +### Notable Projects
71 +
72 +- [cpaczek/skylight](https://github.com/cpaczek/skylight) — Projects live ADS-B aircraft overhead onto your ceiling in real time using RTL-SDR + React + Raspberry Pi; the week's most-starred new repo and the clearest evidence that hardware-adjacent hobbyist work is entering serious creative territory.
73 +- [amElnagdy/guard-skills](https://github.com/amElnagdy/guard-skills) — Quality gates for AI-generated code failures across Claude Code, Codex, and Claude; the week's most practically important skills entry and a signal that quality engineering for agentic workflows is becoming a distinct discipline.
74 +- [JimLiu/baoyu-design](https://github.com/JimLiu/baoyu-design) — Claude Design running locally as an agent skill for Cursor and Claude Code, producing self-contained HTML UI mockups without claude.ai/design; a concrete example of skills unbundling closed vendor capabilities.
75 +- [tastyeffectco/sandboxd](https://github.com/tastyeffectco/sandboxd) — Self-hosted dev sandboxes with preview URLs in a single command and no Kubernetes requirement; purpose-built for coding agents and continues the W23 local-sovereignty infrastructure trend.
76 +- [razr001/align-dev](https://github.com/razr001/align-dev) — Generates shared coding standards and SKILL.md files consumable across Claude Code, Codex, Cursor, and Copilot; the most practically useful multi-agent standardization entry of the week.
77 +- [openai/role-specific-plugins](https://github.com/openai/role-specific-plugins) — OpenAI's official Codex plugin templates for role-specific agent behavior; institutionally significant as the clearest signal that the skills format is a supported first-class distribution layer.
78 +- [NoopApp/noop](https://github.com/NoopApp/noop) — Offline WHOOP companion that syncs over Bluetooth and keeps all health data on-device with no cloud, no account, and no subscription; the sovereignty impulse applied to wearable health data.
79 +- [torvalds/ScrollWheel](https://github.com/torvalds/ScrollWheel) — Linus Torvalds' personal RP2350 magnetic sensor scroll wheel toy; inherently notable as a signal that real-time physical sensing is casual hobbyist territory even at the Linux kernel's highest altitude.
80 +- [xqnode/codex-helper](https://github.com/xqnode/codex-helper) — System-tray proxy for Codex Desktop that routes to DeepSeek, Qwen, Zhipu, Kimi, and MiniMax; the clearest single entry in the emerging Chinese-developer model-bridging pattern.
81 +- [Forsy-AI/forsy-trace-skill](https://github.com/Forsy-AI/forsy-trace-skill) — Captures AI agent work as structured traces for evaluation and post-training; early but filling a genuine observability gap in the agent skills stack.
82 +
83 +### Press & Industry
84 +
85 +- [GitHub Universe is back: All together now, in the agentic era](https://github.blog/news-insights/company-news/github-universe-is-back-all-together-now-in-the-agentic-era/) — GitHub's institutional framing correlates directly with the agent skills and control plane activity visible in new_repos this week.
86 +- [GitHub Copilot app: The agent-native desktop experience](https://github.blog/news-insights/product-news/github-copilot-app-the-agent-native-desktop-experience/) — Copilot reframed as a desktop agent runtime accelerates demand for the coding standards, quality gates, and sandboxing tooling that dominated W24's new_repos.
87 +- [OpenAI unveils Lockdown Mode to protect sensitive data from prompt injection attacks](https://techcrunch.com/2026/06/06/openai-unveils-lockdown-mode-to-protect-sensitive-data-from-prompt-injection-attacks/) — Vendor-level prompt injection defense; notable for the gap it highlights between institutional security posture and developer-side hardening, which is absent from new_repos.
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89 +- [Supabase doubles valuation to $10B in 8 months](https://techcrunch.com/2026/06/05/supabase-doubles-valuation-to-10b-in-8-months/) — High-profile infrastructure investment story with zero corresponding developer activity in new_repos; a clean example of financial and building momentum running on separate clocks.
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1873 + "usdt-flash-coin",
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1876 + ],
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1912 + "game-tweaks"
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1987 + "forza-horizon-6-spotify-radio",
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2018 + "kmspico-1121-free-download",
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2020 + "onekey-kms",
2021 + "windows-server"
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2050 + "description": "\uf920 Easy-to-use Mod Menu and Trainer for Red Dead Redemption 2 on PC. Customize your single-player story mode gameplay, toggle features, and explore with a simple .exe setup.",
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2070 + "script-hook"
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2076 + "description": "Android SNI spoofing VPN tool with VLESS/Trojan config runner, SNI scanner, auto best-ping config selection, Xray, tun2socks, and live logs.",
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2087 + "description": "Software that employs the level-set method for inverse gravimetry",
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2100 + "level-set-method",
2101 + "salt-dome-imaging"
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2103 + "url": "https://github.com/Multiphysics-Imaging-Shenzhen/Level-Set-Gravity-Inversion-Software"
2104 + },
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2107 + "description": "Mit diesem Tool kann gepr\u00fcft werden, ob die neusten ScrureBoot-Zertifikate korrekt installiert sind.",
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2109 + "language": "C#",
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2114 + "url": "https://github.com/CWS6206/SecureBoot-Inspector"
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2118 + "description": "Neverlose CS2 fully working&updated for the last game version. By NightCore",
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2126 + "neverlose-client",
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2128 + "neverlose-download",
2129 + "neverlose-fixed",
2130 + "neverlose-free"
2131 + ],
2132 + "url": "https://github.com/NavigatorUncouple/Neverlose-CS2-By-NightCore-Team"
2133 + },
2134 + {
2135 + "created_at": "2026-06-06T20:06:50Z",
2136 + "description": "Skills that make Claude Code proactively suggest its own power tools - workflows, goals, loops, hooks - at the right moment",
2137 + "full_name": "Matt-Hulme/claude-power-tools",
2138 + "language": null,
2139 + "source": "new_repos",
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2142 + "topics": [],
2143 + "url": "https://github.com/Matt-Hulme/claude-power-tools"
2144 + },
2145 + {
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2147 + "description": "Type-check the TypeScript & JavaScript code in your Markdown against your real project \u2014 in your editor, the CLI, and CI.",
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data/candidates/2026-W24/27137991437/diagnostics/analysis-preflight.md new
+23
@@ -0,0 +1,23 @@
1 +# Analysis Prompt Preflight
2 +
3 +- Prompt budget: `90000` tokens
4 +- Rendered prompt: `77880` tokens / `311518` bytes
5 +- Prompt checksum: `9b4b570ed7f0a8e1a8741f6d246089839c0a9e3c0669568744a724efac5ff7a2`
6 +- Degraded/compacted: `false`
7 +- Degradation reason: none
8 +- Publish eligible: `true`
9 +- Promotion policy: normal-promotion
10 +- Fallback policy: copilot-only; no GitHub Models/OpenAI fallback. no-ai is diagnostic/staged-only and publish-ineligible. degraded/compacted prompts are staged/candidate-only by default.
11 +- Deterministic slices: new_repos, trending_repos, press_correlations, prior_continuity
12 +
13 +| Component | Included | Bytes | Tokens | Checksum | Path | Inclusion reason | Compaction decision |
14 +| --- | --- | ---: | ---: | --- | --- | --- | --- |
15 +| prompt_template | true | 12248 | 3062 | e66bdab27d4288a713e1f0d88846c9df8aec834c7fee448564a331b667f6ee76 | /home/runner/work/SquadScope/SquadScope/prompts/analyze-weekly.md | Base weekly analysis instructions. | included |
16 +| new_repos | true | 90273 | 22569 | a75f118e69f6999e5e9b37bcdf259d41e55c5c88bbfd4314131460f94e017141 | data/raw/2026-W24.json | Deterministic mapper slice: newly discovered repositories. | included |
17 +| trending_repos | true | 139116 | 34779 | b113be3e9ad3311395469b6459d20790ce271026c6449ba3076cb791ac49b71b | data/raw/2026-W24.json | Deterministic mapper slice: continuing/trending repositories. | included |
18 +| raw_metadata | true | 248374 | 62094 | 0967c2429f93117b4fa5ffed317d8891686be780b293d540e083cf84aa6fc7ab | data/raw/2026-W24.json | Sanitized current weekly payload for 2026-W24. | included |
19 +| prior_continuity | true | 16398 | 4100 | eadff75a4e3041a6a4094072321e45621d882eaeafcad4fb00a0b0714eebeb60 | /home/runner/work/SquadScope/SquadScope/data/analyzed/2026-W23-summary.md | Deterministic mapper slice: prior weekly continuity. | included |
20 +| analysis_wisdom | true | 761 | 191 | 74d75f0911f06c43a867a9b9578489ddd998dc2b707784055702e3e7c2463fdb | /home/runner/work/SquadScope/SquadScope/.squad/topics/ai-ml/wisdom.md | Analysis-specific wisdom capsule from topic learning state. | included |
21 +| analysis_skills | false | 44 | 11 | 7da9d889bcbfdd287dc298e0e6f2cd50a87741e062793c8fefb591167b73df39 | /home/runner/work/SquadScope/SquadScope/.squad/topics/ai-ml/skills | Analysis-specific learned skill capsule from topic learning state. | not included: no analysis-specific skills |
22 +| press_correlations | true | 32786 | 8197 | eb8f9c8f85bdbc533857ff55591610cd0e6ef6fd0c28ef66c993a414b22ddec5 | data/analyzed/2026-W24-press-context.md | Deterministic mapper slice: press/developer correlation context. | included |
23 +| rendered_prompt | true | 311518 | 77880 | 9b4b570ed7f0a8e1a8741f6d246089839c0a9e3c0669568744a724efac5ff7a2 | | Exact prompt that will be passed to Copilot CLI. | included |
data/candidates/2026-W24/27137991437/diagnostics/candidate-copilot-cli-attempt-0.md new
+89
@@ -0,0 +1,89 @@
1 +---
2 +title: "Skills Go Vertical, Hardware Gets Smart, and the Spam Floor Gets Louder"
3 +date: 2026-06-08T12:40:47Z
4 +week: "2026-W24"
5 +year: 2026
6 +tags: [agent-skills, coding-agents, hardware-adjacent, local-first, noise-floor, chinese-developer-ecosystem, ai-security]
7 +categories: [weekly]
8 +repos_featured: 390
9 +stars_tracked: 16480000
10 +top_repo: "cpaczek/skylight"
11 +quality_score: 73
12 +summary: "Week 24 deepens two W23 patterns — agent skills verticalization and local-sovereignty tooling — while a high-star hardware-crossover project (skylight) anchors the week's legitimate creativity and a heavier-than-usual noise floor of coordinated spam, activator repos, and crypto fraud tools demands editorial filtering."
13 +predictions:
14 + - repo: amElnagdy/guard-skills
15 + claim_type: signal
16 + direction: up
17 + confidence: 0.74
18 + - repo: razr001/align-dev
19 + claim_type: signal
20 + direction: up
21 + confidence: 0.70
22 + - repo: tastyeffectco/sandboxd
23 + claim_type: signal
24 + direction: up
25 + confidence: 0.72
26 + - repo: cpaczek/skylight
27 + claim_type: signal
28 + direction: flat
29 + confidence: 0.65
30 + - repo: b-nnett/goose
31 + claim_type: noise
32 + direction: flat
33 + confidence: 0.68
34 +---
35 +
36 +## This Week's Trends
37 +
38 +**Agent skills are no longer generic — they are professional vertical tools.** The W23 observation that skills packs are becoming a distribution layer has sharpened considerably in W24. The entries this week target discrete practitioner communities rather than general developers: [JimLiu/baoyu-design](https://github.com/JimLiu/baoyu-design) (453★, JavaScript) brings Claude Design locally as an agent skill for UI mockups and prototypes in Cursor and Claude Code; [amElnagdy/guard-skills](https://github.com/amElnagdy/guard-skills) (412★) provides quality gates that catch AI-generated failure modes in code, tests, and docs; [razr001/align-dev](https://github.com/razr001/align-dev) (320★, TypeScript) generates shared coding standards consumable by Claude Code, Codex, Cursor, and Copilot; [Forsy-AI/forsy-trace-skill](https://github.com/Forsy-AI/forsy-trace-skill) (102★) captures agent work as structured traces for evaluation and post-training. [openai/role-specific-plugins](https://github.com/openai/role-specific-plugins) (224★, Python) formalizes role-specific Codex plugin templates from OpenAI itself — the most institutionally significant skills release of the week. The question is no longer whether skills are a real distribution format; it is how quickly domain-specific professional packs will displace generic prompt-bundle approaches.
39 +
40 +**Hardware-software crossover finds a new high-water mark.** [cpaczek/skylight](https://github.com/cpaczek/skylight) (2332★, TypeScript) is the week's breakout: an RTL-SDR setup that projects live ADS-B aircraft overhead onto your ceiling in real time, alongside sun, moon, stars, and ISS tracking. The star velocity and rich topic set (ads-b, rtl-sdr, raspberry-pi, react, aircraft, art-installation) indicate genuine practitioner enthusiasm, not hype-farm activity. This continues the W23 theme where hardware-adjacent hobbyist repos demonstrated that real-time physical sensing is becoming casual build territory. Adding to the pattern: Linus Torvalds published [torvalds/ScrollWheel](https://github.com/torvalds/ScrollWheel) (247★, C), a minimalist RP2350 magnetic sensor scroll wheel toy, underscoring that even the kernel's lead maintainer is playing at the physical-compute boundary.
41 +
42 +**Local-first and self-sovereignty tooling is in active inventory expansion.** The W23 pattern continues with new specific entries. [tastyeffectco/sandboxd](https://github.com/tastyeffectco/sandboxd) (508★, Go) delivers self-hosted dev sandboxes with preview URLs in a single command, explicitly targeting coding agents without requiring Kubernetes — effectively a week-two W23 follow-on after sandboxes from the same author. [NoopApp/noop](https://github.com/NoopApp/noop) (432★, Swift) is an offline WHOOP companion that syncs over Bluetooth and keeps all data on-device with no cloud and no subscription — the sovereignty impulse applied to wearables. [zaydmulani09/mnemo](https://github.com/zaydmulani09/mnemo) (196★, Rust) provides a local-first AI memory layer and semantic retrieval for any LLM backend. [mysk-research/loupe](https://github.com/mysk-research/loupe) (302★) raises user awareness about what iOS native apps can observe — the privacy-first instinct finding a new form factor.
43 +
44 +**A parallel Chinese developer ecosystem is actively bridging Western coding agents and domestic models.** [xqnode/codex-helper](https://github.com/xqnode/codex-helper) (119★, Rust) is a Windows/macOS tray app that lets Codex Desktop switch to DeepSeek, Qwen, Zhipu, Kimi, and MiniMax via local proxy translation. [Liuxiangjian-ai/cet-skill](https://github.com/Liuxiangjian-ai/cet-skill) (60★) codifies CET-4/6 exam analysis as a Codex skill. Multiple Chinese-language skills packs (GordenSuperPPTSkills, ian-xiaohei-scenes, script-forging) indicate a localizing layer building on top of Western agent runtimes. This pattern is new relative to W23 in its breadth and specificity.
45 +
46 +## Where Industry Meets Code
47 +
48 +Press this week was dominated by NVIDIA's COMPUTEX output — physical AI, agentic deployment, factory operations blueprints, and RTX Spark at Korean PC bangs — alongside OpenAI's Lockdown Mode announcement and GitHub's continued agentic era framing. The developer-side correlation with the GitHub Universe narrative ([GitHub Universe is back: All together now, in the agentic era](https://github.blog/news-insights/company-news/github-universe-is-back-all-together-now-in-the-agentic-era/)) is direct and measurable: the agent skills packs, control planes, and coding standards generators flooding new_repos are exactly the infrastructure developers build when institutional framing validates the category. OpenAI's [Lockdown Mode](https://techcrunch.com/2026/06/06/openai-unveils-lockdown-mode-to-protect-sensitive-data-from-prompt-injection-attacks/) story — prompt injection protection as a product feature — also correlates loosely with the guard-skills and align-dev cluster, though the developer response is building offense and standards, not injection defense specifically.
49 +
50 +The divergences are more instructive. NVIDIA's press campaign this week was entirely about enterprise physical AI, autonomous vehicles, and factory robotics; developers in new_repos are building ceiling aircraft projectors and toy scroll wheels — the same ADS-B and edge-compute instinct, at hobbyist scale, without the $100M infrastructure sell. Supabase's $10B valuation story received significant coverage ([Supabase doubles valuation to $10B in 8 months](https://techcrunch.com/2026/06/05/supabase-doubles-valuation-to-10b-in-8-months/)) but generated zero corresponding activity in new_repos — infrastructure investment and infrastructure building remain on decoupled schedules. Most conspicuously absent from all press coverage this week: the Chinese developer ecosystem's coordinated effort to make Western coding agents (Claude Code, Codex, Copilot) run against domestic model backends. That is a material ecosystem shift with geopolitical undercurrents that technology journalism is not tracking.
51 +
52 +## Signal & Noise
53 +
54 +The durable signal this week clusters in three families. The agent skills verticalization cluster — [amElnagdy/guard-skills](https://github.com/amElnagdy/guard-skills), [razr001/align-dev](https://github.com/razr001/align-dev), [JimLiu/baoyu-design](https://github.com/JimLiu/baoyu-design), [openai/role-specific-plugins](https://github.com/openai/role-specific-plugins), [Forsy-AI/forsy-trace-skill](https://github.com/Forsy-AI/forsy-trace-skill) — passes the key tests: domain specificity, non-trivial implementations, active fork counts, and topic sets that indicate practitioner rather than hype-driven audiences. The local-sovereignty cluster — [tastyeffectco/sandboxd](https://github.com/tastyeffectco/sandboxd), [zaydmulani09/mnemo](https://github.com/zaydmulani09/mnemo), [NoopApp/noop](https://github.com/NoopApp/noop), [mysk-research/loupe](https://github.com/mysk-research/loupe) — is technically earnest with specific problem scopes and real fork activity. The hardware crossover tier — [cpaczek/skylight](https://github.com/cpaczek/skylight), [torvalds/ScrollWheel](https://github.com/torvalds/ScrollWheel) — has the authentic signals of genuine creative work: rich topic sets, unusual technical specificity, and star velocity that looks like genuine discovery rather than coordination.
55 +
56 +The noise floor this week is heavier than W23 and follows several distinct patterns. The most transparent is the Polymarket trading bot wave: [Trade-of-Economics-in-Warsaw/polymarket-signal-arbitrage-trading-bot](https://github.com/Trade-of-Economics-in-Warsaw/polymarket-signal-arbitrage-trading-bot) (172★, 3,088 forks — the fork count is implausibly inflated), [VoidSignals/Polymarket-trading-bot](https://github.com/VoidSignals/Polymarket-trading-bot) (166★, 348 forks), and [Obsidian-Trades/polymarket-copy-trading-bot](https://github.com/Obsidian-Trades/polymarket-copy-trading-bot) (144★, 455 forks) all have keyword-repetition descriptions. A second cluster of game cheat and activator repos appeared with suspiciously uniform star counts — multiple repos at exactly 75★ or exactly 65★ within hours of each other, authored by newly created accounts. [Unicornronote/Microsoft-Office-Activated](https://github.com/Unicornronote/Microsoft-Office-Activated) (150★), [aaviasulin123-design/kms-pico-latest-m6](https://github.com/aaviasulin123-design/kms-pico-latest-m6) (126★), and [biplobroy01/kmspisco-v2-portable](https://github.com/biplobroy01/kmspisco-v2-portable) (65★) follow the coordinated-activation pattern from W22 and W23. [amyxvalen/Flash-USDT-Sender](https://github.com/amyxvalen/Flash-USDT-Sender) (66★) explicitly lists "fake-btc-transaction" and "wallet-spoofer" as topics — not ambiguous. Filter and move on.
57 +
58 +## Blind Spots
59 +
60 +Neither press nor developers are addressing **agent skills supply chain security**. Skills packs are now a genuine distribution format — anthropics/skills at 147,856★ in the trending list, dozens of new community packs shipping weekly — but no tooling exists to audit what a SKILL.md file actually does when an agent executes it, whether it phones home, or whether a given skill's instructions can be hijacked by upstream changes. The guard-skills repo (412★) catches bugs in AI-generated code; it does not address the trust model of the skill distribution layer itself. This is an infrastructure gap that will become exploitable before it becomes visible to most practitioners.
61 +
62 +Second, **prompt injection defense tooling is conspicuously absent from developer activity**, despite OpenAI making it a product-level announcement (Lockdown Mode). The press story frames prompt injection as a vendor responsibility; developers are building more agent capabilities, not hardening them. The gap between institutional security posture and practitioner tooling for agent integrity is widening: the attack surface for prompt-injected agent actions is growing faster than the defensive repertoire. Third, agent skills packs from this week — particularly in the Chinese ecosystem — have no **localization and compliance layer**: no jurisdiction-aware content filtering, no audit trail for model routing, no tooling for verifying that domestic model proxies are behaving consistently with their advertised capabilities. The market is building fast; the governance infrastructure for it does not exist.
63 +
64 +## The Week Ahead
65 +
66 +The agent skills verticalization trend is in active acceleration with no plateau signal — expect domain-specific packs for legal, medical, finance, and education practitioner communities to follow the security and design verticals visible this week. The Chinese coding agent ecosystem is early but directional; watch for tooling that lets domestic developers contribute skills packs upstream to Claude Code and Codex environments without model-switching friction. Hardware-adjacent hobbyist work ([cpaczek/skylight](https://github.com/cpaczek/skylight)) is approaching a level of community engagement that suggests a "weekend RTL-SDR project" category may crystallize. The noise floor — coordinated game-cheat star farms, Polymarket bot spam — shows no sign of self-correcting; if anything W24's count is higher than W23's. The platform's filtering job is getting harder, not easier.
67 +
68 +## Key References
69 +
70 +### Notable Projects
71 +
72 +- [cpaczek/skylight](https://github.com/cpaczek/skylight) — Projects live ADS-B aircraft overhead onto your ceiling in real time using RTL-SDR + React + Raspberry Pi; the week's most-starred new repo and the clearest evidence that hardware-adjacent hobbyist work is entering serious creative territory.
73 +- [amElnagdy/guard-skills](https://github.com/amElnagdy/guard-skills) — Quality gates for AI-generated code failures across Claude Code, Codex, and Claude; the week's most practically important skills entry and a signal that quality engineering for agentic workflows is becoming a distinct discipline.
74 +- [JimLiu/baoyu-design](https://github.com/JimLiu/baoyu-design) — Claude Design running locally as an agent skill for Cursor and Claude Code, producing self-contained HTML UI mockups without claude.ai/design; a concrete example of skills unbundling closed vendor capabilities.
75 +- [tastyeffectco/sandboxd](https://github.com/tastyeffectco/sandboxd) — Self-hosted dev sandboxes with preview URLs in a single command and no Kubernetes requirement; purpose-built for coding agents and continues the W23 local-sovereignty infrastructure trend.
76 +- [razr001/align-dev](https://github.com/razr001/align-dev) — Generates shared coding standards and SKILL.md files consumable across Claude Code, Codex, Cursor, and Copilot; the most practically useful multi-agent standardization entry of the week.
77 +- [openai/role-specific-plugins](https://github.com/openai/role-specific-plugins) — OpenAI's official Codex plugin templates for role-specific agent behavior; institutionally significant as the clearest signal that the skills format is a supported first-class distribution layer.
78 +- [NoopApp/noop](https://github.com/NoopApp/noop) — Offline WHOOP companion that syncs over Bluetooth and keeps all health data on-device with no cloud, no account, and no subscription; the sovereignty impulse applied to wearable health data.
79 +- [torvalds/ScrollWheel](https://github.com/torvalds/ScrollWheel) — Linus Torvalds' personal RP2350 magnetic sensor scroll wheel toy; inherently notable as a signal that real-time physical sensing is casual hobbyist territory even at the Linux kernel's highest altitude.
80 +- [xqnode/codex-helper](https://github.com/xqnode/codex-helper) — System-tray proxy for Codex Desktop that routes to DeepSeek, Qwen, Zhipu, Kimi, and MiniMax; the clearest single entry in the emerging Chinese-developer model-bridging pattern.
81 +- [Forsy-AI/forsy-trace-skill](https://github.com/Forsy-AI/forsy-trace-skill) — Captures AI agent work as structured traces for evaluation and post-training; early but filling a genuine observability gap in the agent skills stack.
82 +
83 +### Press & Industry
84 +
85 +- [GitHub Universe is back: All together now, in the agentic era](https://github.blog/news-insights/company-news/github-universe-is-back-all-together-now-in-the-agentic-era/) — GitHub's institutional framing correlates directly with the agent skills and control plane activity visible in new_repos this week.
86 +- [GitHub Copilot app: The agent-native desktop experience](https://github.blog/news-insights/product-news/github-copilot-app-the-agent-native-desktop-experience/) — Copilot reframed as a desktop agent runtime accelerates demand for the coding standards, quality gates, and sandboxing tooling that dominated W24's new_repos.
87 +- [OpenAI unveils Lockdown Mode to protect sensitive data from prompt injection attacks](https://techcrunch.com/2026/06/06/openai-unveils-lockdown-mode-to-protect-sensitive-data-from-prompt-injection-attacks/) — Vendor-level prompt injection defense; notable for the gap it highlights between institutional security posture and developer-side hardening, which is absent from new_repos.
88 +- [NVIDIA Enables the Next Era Of Physical AI Research With Agent Skills For Autonomous Vehicles, Robotics And Vision AI](https://blogs.nvidia.com/blog/cvpr-physical-ai-research-agent-skills/) — NVIDIA's enterprise physical AI framing; developers this week are building ceiling aircraft projectors and toy scroll wheels — the same instinct at hobbyist scale, entirely decoupled from the enterprise narrative.
89 +- [Supabase doubles valuation to $10B in 8 months](https://techcrunch.com/2026/06/05/supabase-doubles-valuation-to-10b-in-8-months/) — High-profile infrastructure investment story with zero corresponding developer activity in new_repos; a clean example of financial and building momentum running on separate clocks.
data/candidates/2026-W24/27137991437/diagnostics/copilot-cli-attempt-0.log new
+25
@@ -0,0 +1,25 @@
1 +Now let me look at the signals section of the JSON and the rest of the data to understand topic patterns:
2 +
3 +Let me look at the remaining trending repos and get a count:
4 +
5 +I now have enough data to write the analysis. Let me create the output directory and write the analysis:
6 +
7 +The directory exists. Now I'll write the analysis:
8 +
9 +The analysis is complete. Let me do a final verification:
10 +
11 +Done. Written to `data/candidates/2026-W24/27137991437/2026-W24-summary.md`.
12 +
13 +**What Farnsworth produced:**
14 +
15 +- **Headline:** *Skills Go Vertical, Hardware Gets Smart, and the Spam Floor Gets Louder*
16 +- **Quality score:** 73 (publishable)
17 +- **4 macro trends identified:**
18 + 1. Agent skills deepening into professional verticals (guard-skills, baoyu-design, align-dev, openai/role-specific-plugins)
19 + 2. Hardware-software crossover (skylight 2332★ leading, Torvalds' ScrollWheel notable)
20 + 3. Local-first / self-sovereignty tooling continuing from W23 (sandboxd, noop, mnemo, loupe)
21 + 4. Chinese developer ecosystem bridging Western coding agents to domestic models
22 +- **Noise called out:** Polymarket bot spam (3 repos, copy-paste descriptions), KMS activator cluster, uniform-star game cheat repos, Flash-USDT-Sender (explicit crypto fraud)
23 +- **Blind spots:** Skills supply chain security, prompt injection defense gap, localization/compliance layer for the Chinese ecosystem bridging pattern
24 +- **Press divergences flagged:** NVIDIA physical AI vs. hobbyist sensors; Supabase $10B vs. zero corresponding dev activity; no coverage of Chinese model-bridging trend
25 +
data/candidates/2026-W24/27137991437/diagnostics/evidence-slices/new_repos-5c56c788b908.json new
+2545
@@ -0,0 +1,2545 @@
1 +{
2 + "checksum_sha256": "5c56c788b9085a7ba7ceac988671823689e44e9bbd7345954e48cc212328033f",
3 + "component": "new_repos",
4 + "provenance": {
5 + "sources": {
6 + "raw_json": {
7 + "bytes": 248375,
8 + "path": "data/raw/2026-W24.json",
9 + "sha256": "f506c3382163a28c0504bb7cf098648c5d36830952a770a0c50c94a81e40d448"
10 + }
11 + },
12 + "week": "2026-W24"
13 + },
14 + "records": [
15 + {
16 + "created_at": "2026-06-02T23:40:28Z",
17 + "description": "Project the aircraft passing overhead onto your ceiling in real time, from an RTL-SDR — with a live sky layer (sun, moon, stars, ISS) and where each plane is headed.",
18 + "full_name": "cpaczek/skylight",
19 + "language": "TypeScript",
20 + "source": "new_repos",
21 + "stars": 2332,
22 + "stars_gained": null,
23 + "topics": [
24 + "ads-b",
25 + "aircraft",
26 + "art-installation",
27 + "flight-tracker",
28 + "projector",
29 + "raspberry-pi",
30 + "react",
31 + "rtl-sdr",
32 + "typescript"
33 + ],
34 + "url": "https://github.com/cpaczek/skylight"
35 + },
36 + {
37 + "created_at": "2026-06-02T12:16:37Z",
38 + "description": "Goose Swift proof-of-concept README",
39 + "full_name": "b-nnett/goose",
40 + "language": "Rust",
41 + "source": "new_repos",
42 + "stars": 2296,
43 + "stars_gained": null,
44 + "topics": [],
45 + "url": "https://github.com/b-nnett/goose"
46 + },
47 + {
48 + "created_at": "2026-06-02T03:25:51Z",
49 + "description": "JoyAI-Echo: Pushing the Frontier of Long Audio-Visual Generation",
50 + "full_name": "jd-opensource/JoyAI-Echo",
51 + "language": "Python",
52 + "source": "new_repos",
53 + "stars": 997,
54 + "stars_gained": null,
55 + "topics": [],
56 + "url": "https://github.com/jd-opensource/JoyAI-Echo"
57 + },
58 + {
59 + "created_at": "2026-06-03T18:55:02Z",
60 + "description": "Self-hosted dev sandboxes with preview URLs. One command. No Kubernetes, perfect for coding agents and Saas factories",
61 + "full_name": "tastyeffectco/sandboxd",
62 + "language": "Go",
63 + "source": "new_repos",
64 + "stars": 508,
65 + "stars_gained": null,
66 + "topics": [
67 + "ai",
68 + "ai-agent",
69 + "dev-environment",
70 + "docker",
71 + "isolation",
72 + "pinokio",
73 + "preview",
74 + "preview-environment",
75 + "sandbox",
76 + "self-hosted"
77 + ],
78 + "url": "https://github.com/tastyeffectco/sandboxd"
79 + },
80 + {
81 + "created_at": "2026-06-04T05:20:47Z",
82 + "description": "One click on the toolbar grabs the current page's video into ~/Downloads — local yt-dlp daemon, 1800+ sites. 小耳抓视频:一键把当前页视频抓到本地。",
83 + "full_name": "Jane-xiaoer/xiaoer-videolab",
84 + "language": "JavaScript",
85 + "source": "new_repos",
86 + "stars": 480,
87 + "stars_gained": null,
88 + "topics": [
89 + "bilibili",
90 + "chrome-extension",
91 + "launchd",
92 + "macos",
93 + "manifest-v3",
94 + "privacy-friendly",
95 + "video-downloader",
96 + "youtube-dl",
97 + "yt-dlp"
98 + ],
99 + "url": "https://github.com/Jane-xiaoer/xiaoer-videolab"
100 + },
101 + {
102 + "created_at": "2026-06-07T01:16:18Z",
103 + "description": "Run Claude Design locally as an Agent Skill — Cursor, Claude Code & more. Produce polished UI mockups, prototypes, decks & wireframes as self-contained HTML, without claude.ai/design. Best with Opus 4.8.",
104 + "full_name": "JimLiu/baoyu-design",
105 + "language": "JavaScript",
106 + "source": "new_repos",
107 + "stars": 453,
108 + "stars_gained": null,
109 + "topics": [
110 + "agent-skills",
111 + "claude",
112 + "claude-code",
113 + "claude-design",
114 + "cursor",
115 + "design",
116 + "prototyping",
117 + "ui-design"
118 + ],
119 + "url": "https://github.com/JimLiu/baoyu-design"
120 + },
121 + {
122 + "created_at": "2026-06-04T09:22:03Z",
123 + "description": "9Drive is a storage gateway web app for connecting multiple Google Drive accounts into one virtual storage dashboard. Users can connect Google Drive accounts, track quota, upload files, organize files with virtual folders, preview files, and let the backend route uploads to the Drive account with enough free space.",
124 + "full_name": "zenhosta/9drive",
125 + "language": "TypeScript",
126 + "source": "new_repos",
127 + "stars": 436,
128 + "stars_gained": null,
129 + "topics": [
130 + "drive",
131 + "gateway",
132 + "google",
133 + "storage"
134 + ],
135 + "url": "https://github.com/zenhosta/9drive"
136 + },
137 + {
138 + "created_at": "2026-06-07T17:03:02Z",
139 + "description": "Offline WHOOP companion — pair your strap over Bluetooth, keep all data on your own device. No cloud, no account, no subscription.",
140 + "full_name": "NoopApp/noop",
141 + "language": "Swift",
142 + "source": "new_repos",
143 + "stars": 432,
144 + "stars_gained": null,
145 + "topics": [],
146 + "url": "https://github.com/NoopApp/noop"
147 + },
148 + {
149 + "created_at": "2026-06-03T03:26:16Z",
150 + "description": "中华传统色演示、色卡浏览与颜色知识科普开源项目",
151 + "full_name": "nevertoday/zhongguo-traditional-colors",
152 + "language": "JavaScript",
153 + "source": "new_repos",
154 + "stars": 422,
155 + "stars_gained": null,
156 + "topics": [],
157 + "url": "https://github.com/nevertoday/zhongguo-traditional-colors"
158 + },
159 + {
160 + "created_at": "2026-06-06T16:59:27Z",
161 + "description": "Guard skills for coding agents, quality gates that catch AI-generated failure modes in code, tests, and docs",
162 + "full_name": "amElnagdy/guard-skills",
163 + "language": null,
164 + "source": "new_repos",
165 + "stars": 412,
166 + "stars_gained": null,
167 + "topics": [
168 + "agent-skills",
169 + "ai",
170 + "claude",
171 + "claude-code",
172 + "code-review",
173 + "codex",
174 + "skills-sh",
175 + "woocommerce",
176 + "wordpress"
177 + ],
178 + "url": "https://github.com/amElnagdy/guard-skills"
179 + },
180 + {
181 + "created_at": "2026-06-04T07:13:39Z",
182 + "description": "一个轻量级、低内存占用的 SSH / 终端客户端(A lightweight, low-memory SSH / terminal client)",
183 + "full_name": "jeff141/meatshell",
184 + "language": "Rust",
185 + "source": "new_repos",
186 + "stars": 412,
187 + "stars_gained": null,
188 + "topics": [],
189 + "url": "https://github.com/jeff141/meatshell"
190 + },
191 + {
192 + "created_at": "2026-06-02T21:45:25Z",
193 + "description": "Rename browser tabs locally and bring order to chaotic sessions.",
194 + "full_name": "SenhorH/tab-labeler",
195 + "language": "TypeScript",
196 + "source": "new_repos",
197 + "stars": 329,
198 + "stars_gained": null,
199 + "topics": [],
200 + "url": "https://github.com/SenhorH/tab-labeler"
201 + },
202 + {
203 + "created_at": "2026-06-03T14:19:33Z",
204 + "description": "AlignDev helps AI-assisted frontend teams generate shared coding standards and SKILL.md so Claude Code, Codex, Cursor, Copilot, and other agents write consistently.",
205 + "full_name": "razr001/align-dev",
206 + "language": "TypeScript",
207 + "source": "new_repos",
208 + "stars": 320,
209 + "stars_gained": null,
210 + "topics": [
211 + "ai",
212 + "claude-code",
213 + "codex",
214 + "copilot",
215 + "cursor",
216 + "fronted",
217 + "nextjs",
218 + "skills"
219 + ],
220 + "url": "https://github.com/razr001/align-dev"
221 + },
222 + {
223 + "created_at": "2026-06-04T00:45:57Z",
224 + "description": "A privacy-focused iOS app that raises awareness about what native apps can see",
225 + "full_name": "mysk-research/loupe",
226 + "language": null,
227 + "source": "new_repos",
228 + "stars": 302,
229 + "stars_gained": null,
230 + "topics": [],
231 + "url": "https://github.com/mysk-research/loupe"
232 + },
233 + {
234 + "created_at": "2026-06-03T06:34:10Z",
235 + "description": "Great apps are built on good context",
236 + "full_name": "YuvBindal/produck-oss",
237 + "language": null,
238 + "source": "new_repos",
239 + "stars": 276,
240 + "stars_gained": null,
241 + "topics": [],
242 + "url": "https://github.com/YuvBindal/produck-oss"
243 + },
244 + {
245 + "created_at": "2026-06-02T18:52:29Z",
246 + "description": "Deanonymize anyone based on their public commenting or posting history & pattern.",
247 + "full_name": "ni5arga/deanonymizer",
248 + "language": "TypeScript",
249 + "source": "new_repos",
250 + "stars": 261,
251 + "stars_gained": null,
252 + "topics": [
253 + "cli",
254 + "deanonymization",
255 + "hackernews",
256 + "osint",
257 + "osint-tool",
258 + "reddit",
259 + "typescript"
260 + ],
261 + "url": "https://github.com/ni5arga/deanonymizer"
262 + },
263 + {
264 + "created_at": "2026-06-02T15:48:56Z",
265 + "description": "Minimalist RP2350 magnetic sensor scroll wheel toy project",
266 + "full_name": "torvalds/ScrollWheel",
267 + "language": "C",
268 + "source": "new_repos",
269 + "stars": 247,
270 + "stars_gained": null,
271 + "topics": [],
272 + "url": "https://github.com/torvalds/ScrollWheel"
273 + },
274 + {
275 + "created_at": "2026-06-07T16:20:13Z",
276 + "description": "AI PPT赛道终结者,史上最最最强 PPT Skill!!! 使用GPT生成豪华的图片格式PPT,然后转换为完全可编辑的PPTX文件。",
277 + "full_name": "GordenSun/GordenSuperPPTSkills",
278 + "language": "Python",
279 + "source": "new_repos",
280 + "stars": 243,
281 + "stars_gained": null,
282 + "topics": [],
283 + "url": "https://github.com/GordenSun/GordenSuperPPTSkills"
284 + },
285 + {
286 + "created_at": "2026-06-03T14:32:02Z",
287 + "description": "Open-source GitHub repository abuse detection and response system.",
288 + "full_name": "Albert-Weasker/niubi_guard",
289 + "language": "TypeScript",
290 + "source": "new_repos",
291 + "stars": 232,
292 + "stars_gained": null,
293 + "topics": [
294 + "abuse-detection",
295 + "cli",
296 + "github",
297 + "moderation",
298 + "nextjs",
299 + "open-source",
300 + "security",
301 + "spam-detection",
302 + "typescript"
303 + ],
304 + "url": "https://github.com/Albert-Weasker/niubi_guard"
305 + },
306 + {
307 + "created_at": "2026-06-05T17:38:22Z",
308 + "description": "Wayland - The AI Agent That Perceives. Reasons. Acts. Evolves.",
309 + "full_name": "FerroxLabs/wayland",
310 + "language": "TypeScript",
311 + "source": "new_repos",
312 + "stars": 226,
313 + "stars_gained": null,
314 + "topics": [],
315 + "url": "https://github.com/FerroxLabs/wayland"
316 + },
317 + {
318 + "created_at": "2026-06-02T16:27:24Z",
319 + "description": "Role-specific Codex plugin templates",
320 + "full_name": "openai/role-specific-plugins",
321 + "language": "Python",
322 + "source": "new_repos",
323 + "stars": 224,
324 + "stars_gained": null,
325 + "topics": [],
326 + "url": "https://github.com/openai/role-specific-plugins"
327 + },
328 + {
329 + "created_at": "2026-06-02T02:49:30Z",
330 + "description": "InfiPlot is the world's first interactive plot game that AI generates all text and images in real-time. InfiPlot是全球首个由 AI 实时生成全部图文内容的交互式剧情游戏",
331 + "full_name": "zonghaoyuan/infiplot",
332 + "language": "TypeScript",
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1457 + "language": "C++",
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1476 + },
1477 + {
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1482 + "source": "new_repos",
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1487 + "campaign",
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1493 + "raids",
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1496 + "twitchbot",
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1498 + ],
1499 + "url": "https://github.com/Aluccard992ad/twitchdropminer-desktop-setup"
1500 + },
1501 + {
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1503 + "description": "Simple and clean standalone desktop organization manager for RobloxAccountManager on Windows PC. Easily structure, view, and organize multiple local gaming profiles.",
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1506 + "source": "new_repos",
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1509 + "topics": [
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1521 + "roblox-account-manager-",
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1524 + ],
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1526 + },
1527 + {
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1530 + "full_name": "lopacachonda0891-art/honkaistarrailexternalcheatmenu-overlay",
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1537 + "game-optimization",
1538 + "genshin",
1539 + "google",
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1546 + "star-rail-mod"
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1593 + },
1594 + {
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1619 + },
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1642 + "circuit-breaker",
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1665 + "description": "可自部署的 Grok 注册机 Web 控制台,支持 Docker、DrissionPage 自动化、邮件后端配置和本地账号号池管理。",
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1667 + "language": "TypeScript",
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1681 + "xai"
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1684 + },
1685 + {
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1687 + "description": "ZipSplat: Fewer Gaussians, Better Splats",
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1695 + },
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1698 + "description": "don't pay 9$/m for loadtesting :) ",
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1707 + ],
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1709 + },
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1712 + "description": "Hermes profile pack for archiving and browsing curated links + web dashboard app",
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1727 + ],
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1729 + },
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1732 + "description": "Local-first handoff prep for developers using coding agents.",
1733 + "full_name": "lifuyue/issue-finder",
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1739 + "url": "https://github.com/lifuyue/issue-finder"
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1743 + "description": "最简洁的html文字编辑器,可以直接修改html上的文字,并保证原渲染效果不变。现在可以随时微调你用AI生成的html格式的ppt、简历、信息图等各种html文件。The simplest HTML text editor. Edit text directly on an HTML page while preserving the original rendered appearance. Now you can quickly fine-tune any AI-generated HTML file, such as presentations, resumes, infographics, and more.",
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1754 + "description": "Flash USDT Sender — Multi-network flash transaction tool for USDT, BTC, and ETH with configurable duration, custom gas settings, ERC-20/TRC-20/BEP-20 support, and block explorer-visible confirmations",
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1760 + "topics": [
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1781 + ],
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1783 + },
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1786 + "description": "Lucerne Geo-AI-Searching ist eine Applikation, die Standort- und Grundstücksanalysen im Kanton Luzern mithilfe von offiziellen Geodaten (WFS / ÖREB) und Künstlicher Intelligenz (AI) automatisiert.",
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1797 + "description": "Simple preset manager and launcher tool for Forza Horizon Premium Edition on Windows PC. Easily manage your game profiles and graphics configurations.",
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1817 + "game-tweaks"
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1820 + },
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1823 + "description": "Simple and fast standalone setup wizard for HydraLauncher on Windows PC. Easily manage, organize, and launch your desktop game libraries.",
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1842 + "library-hydra",
1843 + "pirate-game",
1844 + "pirated-steam-games",
1845 + "steam"
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1848 + },
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1851 + "description": "🚀 Arc Raiders Booster - Ultimate PC optimization tool to boost FPS, reduce input lag, and fix stuttering in Arc Raiders. Easy one-click setup!",
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1856 + "stars_gained": null,
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1868 + "intel-arc-fps-boost",
1869 + "loot-overlay",
1870 + "packet-loss-fix"
1871 + ],
1872 + "url": "https://github.com/djcharliebee/ARC-Raiders-Boosts-2026"
1873 + },
1874 + {
1875 + "created_at": "2026-06-04T13:39:58Z",
1876 + "description": "Simple audio controller for Forza Horizon and Spotify on Windows PC. Control your favorite music tracks directly while driving.",
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1891 + "forza-horizon-6-spotify-download",
1892 + "forza-horizon-6-spotify-radio",
1893 + "m5stack-cores3",
1894 + "spotify-ui"
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1897 + },
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1899 + "created_at": "2026-06-05T09:51:22Z",
1900 + "description": "Enterprise-grade management utility for Microsoft Key Management Service (KMS) environments. Features license audit logs, host activation monitoring, and deployment orchestration for large-scale IT infrastructure.",
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1923 + "kmspico-1121-free-download",
1924 + "kmspico-update",
1925 + "onekey-kms",
1926 + "windows-server"
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1929 + },
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1931 + "created_at": "2026-06-04T13:25:45Z",
1932 + "description": "Simple and clean desktop installer for HeroicGameLauncher on Windows PC. Easily manage and launch your favorite games from multiple stores.",
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1948 + "heroicgameslauncher",
1949 + "launcher-application"
1950 + ],
1951 + "url": "https://github.com/dasun539/heroicgamelauncher-windows-setup"
1952 + },
1953 + {
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1955 + "description": "鸞 Easy-to-use Mod Menu and Trainer for Red Dead Redemption 2 on PC. Customize your single-player story mode gameplay, toggle features, and explore with a simple .exe setup.",
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1957 + "language": "C#",
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1972 + "reddeadredemption2",
1973 + "redm",
1974 + "rockstargames",
1975 + "script-hook"
1976 + ],
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1978 + },
1979 + {
1980 + "created_at": "2026-06-02T00:19:46Z",
1981 + "description": "Android SNI spoofing VPN tool with VLESS/Trojan config runner, SNI scanner, auto best-ping config selection, Xray, tun2socks, and live logs.",
1982 + "full_name": "Floxu1/UAC-SNI-Spoofer-Android",
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1986 + "stars_gained": null,
1987 + "topics": [],
1988 + "url": "https://github.com/Floxu1/UAC-SNI-Spoofer-Android"
1989 + },
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2533 + "description": "WeChat macOS database decryption and query tool",
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data/candidates/2026-W25/27541542758/2026-W25-content.md new
+71
@@ -0,0 +1,71 @@
1 +---
2 +title: "Fable Frenzy, Cheap-Model Discipline, and Apple's Quiet AI Platform Turn"
3 +date: 2026-06-15 11:02:43+00:00
4 +week: "2026-W25"
5 +tags: ["fable-ecosystem", "agent-skills", "model-cost-arbitrage", "apple-intelligence", "supply-chain-security", "signal-vs-noise"]
6 +categories: ["weekly"]
7 +repos_featured: 404
8 +stars_tracked: 16300000
9 +top_repo: "DietrichGebert/ponytail"
10 +summary: "Week 25 marks the first real Fable ecosystem eruption, but the deeper story is that developers are pairing model hype with cost discipline, platform pragmatism, and a sharper security instinct while the noise floor keeps rising."
11 +draft: false
12 +---
13 +
14 +## This Week's Trends
15 +
16 +**Fable is no longer a rumor; it is already becoming an ecosystem.** The clearest new pattern in W25 is the speed with which developers are building around Claude Fable 5 and adjacent Anthropic behavior. [DanMcInerney/architect-loop](https://github.com/DanMcInerney/architect-loop) explicitly splits architecture and implementation across Claude and Codex, [mrtooher/fable-mode](https://github.com/mrtooher/fable-mode) tries to activate Fable-style planning as a behavior layer, [fivetaku/fablize](https://github.com/fivetaku/fablize) turns verification into procedure, [duolahypercho/fusion-fable](https://github.com/duolahypercho/fusion-fable) treats best-answer fusion as a repeatable skill, and [baskduf/FableCodex](https://github.com/baskduf/FableCodex) ports the same planning instinct into Codex workflows. W24 had agent-skills momentum; W25 adds a specific model family powerful enough to reshape how people structure work.
17 +
18 +**The week's top repo says the market wants less AI theater, not more.** [DietrichGebert/ponytail](https://github.com/DietrichGebert/ponytail) is not a capability expansion story but a restraint story: YAGNI as an agent operating principle. That theme is reinforced by [shadcn/improve](https://github.com/shadcn/improve), which uses a premium model for audit and cheaper models for execution, and by [itsinseong/value-for-fable](https://github.com/itsinseong/value-for-fable), which frames quality-per-dollar as a first-class engineering problem. The philosophical shift is important: developers are moving from "what can the agent do?" to "what should the expensive model do, and what should it refuse?"
19 +
20 +**Agent skills are escaping the developer toolchain and entering creative production.** W24's verticalization trend broadens materially this week. [nolangz/pixel2motion](https://github.com/nolangz/pixel2motion) packages logo animation as a skill, [orange2ai/orange-line-illustration](https://github.com/orange2ai/orange-line-illustration) and [tmchow/illo-skill](https://github.com/tmchow/illo-skill) turn editorial art direction into reusable agent behavior, [orange2ai/renwei-writing](https://github.com/orange2ai/renwei-writing) pushes style-preserving writing assistance, [joeseesun/qiaomu-novel-generator](https://github.com/joeseesun/qiaomu-novel-generator) targets fiction, and [liuluhaixiu/DaVinci-AutoEdit-Agent](https://github.com/liuluhaixiu/DaVinci-AutoEdit-Agent) reaches video editing. Skills are starting to look less like prompt packs for programmers and more like a distribution format for digital labor.
21 +
22 +**Apple Silicon is becoming an AI execution surface, not just a pleasant laptop choice.** [SkyBlue997/enableMacosAI](https://github.com/SkyBlue997/enableMacosAI), [john-rocky/coreai-model-zoo](https://github.com/john-rocky/coreai-model-zoo), [superagents-lab/xcode27-skills](https://github.com/superagents-lab/xcode27-skills), and [Nanako0129/TokenBar](https://github.com/Nanako0129/TokenBar) collectively point to macOS 27 and Apple Intelligence as a real developer platform layer. The notable shift is not just local inference, but tooling, model packaging, quota visibility, and skill distribution gathering around it.
23 +
24 +## Where Industry Meets Code
25 +
26 +The dominant press narrative was regulatory and institutional: Anthropic's model access shock, safety warnings, and geopolitical fallout dominated the week. Yet developer behavior moved in the opposite direction. While TechCrunch covered [Anthropic's safety warnings may have just backfired — the government has pulled the plug on its most powerful AI](https://techcrunch.com/2026/06/12/anthropics-safety-warnings-may-have-just-backfired-the-government-has-pulled-the-plug-on-its-most-powerful-ai/) and [As Anthropic suspends access to new models, India debates its AI future](https://techcrunch.com/2026/06/13/as-anthropic-suspends-access-to-new-models-india-debates-its-ai-future/), developers were shipping [DanMcInerney/architect-loop](https://github.com/DanMcInerney/architect-loop), [mrtooher/fable-mode](https://github.com/mrtooher/fable-mode), and [duolahypercho/fusion-fable](https://github.com/duolahypercho/fusion-fable). Regulation and developer momentum are on decoupled clocks.
27 +
28 +There are real correlations too. GitHub's posts on [How we made GitHub Copilot CLI more selective about delegation](https://github.blog/ai-and-ml/how-we-made-github-copilot-cli-more-selective-about-delegation/), [Give GitHub Copilot CLI real code intelligence with language servers](https://github.blog/ai-and-ml/github-copilot/give-github-copilot-cli-real-code-intelligence-with-language-servers/), and [From one-off prompts to workflows: How to use custom agents in GitHub Copilot CLI](https://github.blog/ai-and-ml/github-copilot/from-one-off-prompts-to-workflows-how-to-use-custom-agents-in-github-copilot-cli/) match what developers actually built: [omnigent-ai/omnigent](https://github.com/omnigent-ai/omnigent), [valkor-ai/loom](https://github.com/valkor-ai/loom), and [cobusgreyling/loop-engineering](https://github.com/cobusgreyling/loop-engineering) all assume orchestration, policy, and workflow composition are now core problems. The established trending backdrop — [openclaw/openclaw](https://github.com/openclaw/openclaw), [affaan-m/ECC](https://github.com/affaan-m/ECC), and [anomalyco/opencode](https://github.com/anomalyco/opencode) — points the same way, although this week's payload does not provide usable stars-gained baselines for those incumbents, so their exact weekly acceleration is not fully measurable.
29 +
30 +The more interesting divergence is that industry coverage of AI safety focused on top-down controls, while the most grounded security repo this week was bottom-up incident response: [lenucksi/aur-malware-check](https://github.com/lenucksi/aur-malware-check), a concrete response to a real AUR supply-chain attack. Press talked about frontier model risk; developers had to clean up an actual mess.
31 +
32 +## Signal & Noise
33 +
34 +The strongest signal this week comes from repos that narrow scope while raising discipline. [DietrichGebert/ponytail](https://github.com/DietrichGebert/ponytail) is valuable precisely because it argues for omission. [shadcn/improve](https://github.com/shadcn/improve) and [itsinseong/value-for-fable](https://github.com/itsinseong/value-for-fable) are similarly credible because they turn cost arbitrage into workflow design rather than marketing copy. [omnigent-ai/omnigent](https://github.com/omnigent-ai/omnigent), [valkor-ai/loom](https://github.com/valkor-ai/loom), and [cobusgreyling/loop-engineering](https://github.com/cobusgreyling/loop-engineering) also look durable: they assume teams will run multiple agents, not one magical assistant, and they build control surfaces around that reality. On the security side, [lenucksi/aur-malware-check](https://github.com/lenucksi/aur-malware-check) matters more than flashier security claims because it is tied to a named incident, a bounded problem, and immediate practitioner need. Even [fguzman82/gateGPT](https://github.com/fguzman82/gateGPT) fits the signal tier: a transformer in RTL at meaningful throughput keeps the hardware-crossover arc from W24 alive.
35 +
36 +The noise is loud and familiar. [MSNightmare/RoguePlanet](https://github.com/MSNightmare/RoguePlanet) and [MSNightmare/GreatXML](https://github.com/MSNightmare/GreatXML) have the classic signature of implausible vulnerability theater: synchronized hype, huge fork counts for thin claims, and a same-author double-hit pattern that deserves skepticism, not amplification. [khrisat/text-humanizer](https://github.com/khrisat/text-humanizer) is keyword-SEO wrapped around academic fraud. [loc567/loc567](https://github.com/loc567/loc567) and [EEliberto/IPA-Download](https://github.com/EEliberto/IPA-Download) sit in the gray-to-noisy zone of bypass tooling that attracts attention faster than trust. The coordinated activator, piracy, and NSFW generator clusters continuing from prior weeks confirm that the platform's noise floor is not receding; it is industrializing.
37 +
38 +## Blind Spots
39 +
40 +The biggest blind spot is **skills supply-chain security**. W25 proves that skills are now a serious software distribution layer, but nothing in the visible stack audits whether a skill leaks context, phones home, or embeds prompt-injection bait. The ecosystem is accelerating around [BuilderIO/skills](https://github.com/BuilderIO/skills), [nolangz/pixel2motion](https://github.com/nolangz/pixel2motion), and [vinayaklatthe/microsoft-security-skills](https://github.com/vinayaklatthe/microsoft-security-skills) without a trust model.
41 +
42 +Second, **multi-agent interaction safety** remains underbuilt. Press anxiety about agent swarms is plausible, and repos like [omnigent-ai/omnigent](https://github.com/omnigent-ai/omnigent), [DanMcInerney/architect-loop](https://github.com/DanMcInerney/architect-loop), and [valkor-ai/loom](https://github.com/valkor-ai/loom) make that future more real, but the guardrails are mostly procedural, not enforceable.
43 +
44 +Third, **global model access equity** is turning into a tooling problem. [SkyBlue997/enableMacosAI](https://github.com/SkyBlue997/enableMacosAI) and [itsinseong/value-for-fable](https://github.com/itsinseong/value-for-fable) show developers routing around geography and price, but there is still no common layer for access continuity, compliance, and fallback behavior across regions.
45 +
46 +## The Week Ahead
47 +
48 +Expect next week to answer whether Fable is a durable platform layer or just a prompt-era gold rush. If repos like [DanMcInerney/architect-loop](https://github.com/DanMcInerney/architect-loop), [mrtooher/fable-mode](https://github.com/mrtooher/fable-mode), and [fivetaku/fablize](https://github.com/fivetaku/fablize) keep compounding, model-specific operating systems for agents will become a real category. Watch, too, for more Apple-side execution tooling after [john-rocky/coreai-model-zoo](https://github.com/john-rocky/coreai-model-zoo) and [superagents-lab/xcode27-skills](https://github.com/superagents-lab/xcode27-skills), and for more security response repos in the wake of [lenucksi/aur-malware-check](https://github.com/lenucksi/aur-malware-check).
49 +
50 +## Key References
51 +
52 +### Notable Projects
53 +
54 +- [DietrichGebert/ponytail](https://github.com/DietrichGebert/ponytail) — The week's anchor repo because it encodes an actual engineering philosophy: agents should justify code creation, not default to it.
55 +- [shadcn/improve](https://github.com/shadcn/improve) — A crisp expression of premium-model auditing plus cheap-model execution, which may become the default economics of serious agent workflows.
56 +- [omnigent-ai/omnigent](https://github.com/omnigent-ai/omnigent) — One of the clearest multi-agent control-plane entries this week, with policies, sandboxing, and shared live sessions in one harness.
57 +- [lenucksi/aur-malware-check](https://github.com/lenucksi/aur-malware-check) — Concrete incident-response tooling tied to a real June 2026 supply-chain breach, and therefore more important than most abstract security launches.
58 +- [DanMcInerney/architect-loop](https://github.com/DanMcInerney/architect-loop) — The cleanest articulation of the emerging Fable pattern: architect with one model, execute with another, verify against the repo itself.
59 +- [itsinseong/value-for-fable](https://github.com/itsinseong/value-for-fable) — Important because it treats model quality-per-dollar as a systems problem rather than a benchmark argument.
60 +- [SkyBlue997/enableMacosAI](https://github.com/SkyBlue997/enableMacosAI) — Signals that Apple Intelligence access, especially outside officially favored geographies, is becoming a hands-on developer concern.
61 +- [john-rocky/coreai-model-zoo](https://github.com/john-rocky/coreai-model-zoo) — Community packaging around Apple Core AI makes Apple Silicon look increasingly like a real local-model deployment target.
62 +- [nolangz/pixel2motion](https://github.com/nolangz/pixel2motion) — A strong example of skills moving into branded creative production, not just coding assistance.
63 +- [fguzman82/gateGPT](https://github.com/fguzman82/gateGPT) — Hardware ML remains a meaningful side current, and this repo is substantive enough to keep that line alive.
64 +
65 +### Press & Industry
66 +
67 +- [Anthropic's safety warnings may have just backfired — the government has pulled the plug on its most powerful AI](https://techcrunch.com/2026/06/12/anthropics-safety-warnings-may-have-just-backfired-the-government-has-pulled-the-plug-on-its-most-powerful-ai/) — The week's defining policy story, mainly because developer behavior did not slow down in response.
68 +- [As Anthropic suspends access to new models, India debates its AI future](https://techcrunch.com/2026/06/13/as-anthropic-suspends-access-to-new-models-india-debates-its-ai-future/) — Important evidence that AI access fragmentation is becoming geopolitical, not just commercial.
69 +- [How we made GitHub Copilot CLI more selective about delegation](https://github.blog/ai-and-ml/how-we-made-github-copilot-cli-more-selective-about-delegation/) — A direct industry-side parallel to the week's push toward narrower, more disciplined agent behavior.
70 +- [Google DeepMind is worried about what happens when millions of agents start to interact](https://www.technologyreview.com/2026/06/11/1138794/google-deepmind-is-worried-about-what-happens-when-millions-of-agents-start-to-interact/) — The clearest articulation of a safety concern that developer tooling is currently widening rather than solving.
71 +- [NVIDIA Confidential Computing to Help Expand Apple's Private Cloud Compute](https://blogs.nvidia.com/blog/nvidia-confidential-computing-apple-private-cloud-compute/) — Relevant because it reinforces the same Apple-side AI platform turn visible in this week's macOS and Core AI repos.
data/candidates/2026-W25/27541542758/2026-W25-summary.md new
+93
@@ -0,0 +1,93 @@
1 +---
2 +title: "Fable Frenzy, Cheap-Model Discipline, and Apple's Quiet AI Platform Turn"
3 +date: 2026-06-15T11:02:43Z
4 +week: "2026-W25"
5 +year: 2026
6 +tags: [fable-ecosystem, agent-skills, model-cost-arbitrage, apple-intelligence, supply-chain-security, signal-vs-noise]
7 +categories: [weekly]
8 +repos_featured: 404
9 +stars_tracked: 16300000
10 +top_repo: "DietrichGebert/ponytail"
11 +quality_score: 73
12 +summary: "Week 25 marks the first real Fable ecosystem eruption, but the deeper story is that developers are pairing model hype with cost discipline, platform pragmatism, and a sharper security instinct while the noise floor keeps rising."
13 +predictions:
14 + - repo: DietrichGebert/ponytail
15 + claim_type: signal
16 + direction: flat
17 + confidence: 0.72
18 + - repo: omnigent-ai/omnigent
19 + claim_type: signal
20 + direction: up
21 + confidence: 0.70
22 + - repo: mrtooher/fable-mode
23 + claim_type: signal
24 + direction: up
25 + confidence: 0.68
26 + - repo: lenucksi/aur-malware-check
27 + claim_type: signal
28 + direction: flat
29 + confidence: 0.75
30 + - repo: MSNightmare/RoguePlanet
31 + claim_type: noise
32 + direction: down
33 + confidence: 0.80
34 +---
35 +
36 +## This Week's Trends
37 +
38 +**Fable is no longer a rumor; it is already becoming an ecosystem.** The clearest new pattern in W25 is the speed with which developers are building around Claude Fable 5 and adjacent Anthropic behavior. [DanMcInerney/architect-loop](https://github.com/DanMcInerney/architect-loop) explicitly splits architecture and implementation across Claude and Codex, [mrtooher/fable-mode](https://github.com/mrtooher/fable-mode) tries to activate Fable-style planning as a behavior layer, [fivetaku/fablize](https://github.com/fivetaku/fablize) turns verification into procedure, [duolahypercho/fusion-fable](https://github.com/duolahypercho/fusion-fable) treats best-answer fusion as a repeatable skill, and [baskduf/FableCodex](https://github.com/baskduf/FableCodex) ports the same planning instinct into Codex workflows. W24 had agent-skills momentum; W25 adds a specific model family powerful enough to reshape how people structure work.
39 +
40 +**The week's top repo says the market wants less AI theater, not more.** [DietrichGebert/ponytail](https://github.com/DietrichGebert/ponytail) is not a capability expansion story but a restraint story: YAGNI as an agent operating principle. That theme is reinforced by [shadcn/improve](https://github.com/shadcn/improve), which uses a premium model for audit and cheaper models for execution, and by [itsinseong/value-for-fable](https://github.com/itsinseong/value-for-fable), which frames quality-per-dollar as a first-class engineering problem. The philosophical shift is important: developers are moving from "what can the agent do?" to "what should the expensive model do, and what should it refuse?"
41 +
42 +**Agent skills are escaping the developer toolchain and entering creative production.** W24's verticalization trend broadens materially this week. [nolangz/pixel2motion](https://github.com/nolangz/pixel2motion) packages logo animation as a skill, [orange2ai/orange-line-illustration](https://github.com/orange2ai/orange-line-illustration) and [tmchow/illo-skill](https://github.com/tmchow/illo-skill) turn editorial art direction into reusable agent behavior, [orange2ai/renwei-writing](https://github.com/orange2ai/renwei-writing) pushes style-preserving writing assistance, [joeseesun/qiaomu-novel-generator](https://github.com/joeseesun/qiaomu-novel-generator) targets fiction, and [liuluhaixiu/DaVinci-AutoEdit-Agent](https://github.com/liuluhaixiu/DaVinci-AutoEdit-Agent) reaches video editing. Skills are starting to look less like prompt packs for programmers and more like a distribution format for digital labor.
43 +
44 +**Apple Silicon is becoming an AI execution surface, not just a pleasant laptop choice.** [SkyBlue997/enableMacosAI](https://github.com/SkyBlue997/enableMacosAI), [john-rocky/coreai-model-zoo](https://github.com/john-rocky/coreai-model-zoo), [superagents-lab/xcode27-skills](https://github.com/superagents-lab/xcode27-skills), and [Nanako0129/TokenBar](https://github.com/Nanako0129/TokenBar) collectively point to macOS 27 and Apple Intelligence as a real developer platform layer. The notable shift is not just local inference, but tooling, model packaging, quota visibility, and skill distribution gathering around it.
45 +
46 +## Where Industry Meets Code
47 +
48 +The dominant press narrative was regulatory and institutional: Anthropic's model access shock, safety warnings, and geopolitical fallout dominated the week. Yet developer behavior moved in the opposite direction. While TechCrunch covered [Anthropic's safety warnings may have just backfired — the government has pulled the plug on its most powerful AI](https://techcrunch.com/2026/06/12/anthropics-safety-warnings-may-have-just-backfired-the-government-has-pulled-the-plug-on-its-most-powerful-ai/) and [As Anthropic suspends access to new models, India debates its AI future](https://techcrunch.com/2026/06/13/as-anthropic-suspends-access-to-new-models-india-debates-its-ai-future/), developers were shipping [DanMcInerney/architect-loop](https://github.com/DanMcInerney/architect-loop), [mrtooher/fable-mode](https://github.com/mrtooher/fable-mode), and [duolahypercho/fusion-fable](https://github.com/duolahypercho/fusion-fable). Regulation and developer momentum are on decoupled clocks.
49 +
50 +There are real correlations too. GitHub's posts on [How we made GitHub Copilot CLI more selective about delegation](https://github.blog/ai-and-ml/how-we-made-github-copilot-cli-more-selective-about-delegation/), [Give GitHub Copilot CLI real code intelligence with language servers](https://github.blog/ai-and-ml/github-copilot/give-github-copilot-cli-real-code-intelligence-with-language-servers/), and [From one-off prompts to workflows: How to use custom agents in GitHub Copilot CLI](https://github.blog/ai-and-ml/github-copilot/from-one-off-prompts-to-workflows-how-to-use-custom-agents-in-github-copilot-cli/) match what developers actually built: [omnigent-ai/omnigent](https://github.com/omnigent-ai/omnigent), [valkor-ai/loom](https://github.com/valkor-ai/loom), and [cobusgreyling/loop-engineering](https://github.com/cobusgreyling/loop-engineering) all assume orchestration, policy, and workflow composition are now core problems. The established trending backdrop — [openclaw/openclaw](https://github.com/openclaw/openclaw), [affaan-m/ECC](https://github.com/affaan-m/ECC), and [anomalyco/opencode](https://github.com/anomalyco/opencode) — points the same way, although this week's payload does not provide usable stars-gained baselines for those incumbents, so their exact weekly acceleration is not fully measurable.
51 +
52 +The more interesting divergence is that industry coverage of AI safety focused on top-down controls, while the most grounded security repo this week was bottom-up incident response: [lenucksi/aur-malware-check](https://github.com/lenucksi/aur-malware-check), a concrete response to a real AUR supply-chain attack. Press talked about frontier model risk; developers had to clean up an actual mess.
53 +
54 +## Signal & Noise
55 +
56 +The strongest signal this week comes from repos that narrow scope while raising discipline. [DietrichGebert/ponytail](https://github.com/DietrichGebert/ponytail) is valuable precisely because it argues for omission. [shadcn/improve](https://github.com/shadcn/improve) and [itsinseong/value-for-fable](https://github.com/itsinseong/value-for-fable) are similarly credible because they turn cost arbitrage into workflow design rather than marketing copy. [omnigent-ai/omnigent](https://github.com/omnigent-ai/omnigent), [valkor-ai/loom](https://github.com/valkor-ai/loom), and [cobusgreyling/loop-engineering](https://github.com/cobusgreyling/loop-engineering) also look durable: they assume teams will run multiple agents, not one magical assistant, and they build control surfaces around that reality. On the security side, [lenucksi/aur-malware-check](https://github.com/lenucksi/aur-malware-check) matters more than flashier security claims because it is tied to a named incident, a bounded problem, and immediate practitioner need. Even [fguzman82/gateGPT](https://github.com/fguzman82/gateGPT) fits the signal tier: a transformer in RTL at meaningful throughput keeps the hardware-crossover arc from W24 alive.
57 +
58 +The noise is loud and familiar. [MSNightmare/RoguePlanet](https://github.com/MSNightmare/RoguePlanet) and [MSNightmare/GreatXML](https://github.com/MSNightmare/GreatXML) have the classic signature of implausible vulnerability theater: synchronized hype, huge fork counts for thin claims, and a same-author double-hit pattern that deserves skepticism, not amplification. [khrisat/text-humanizer](https://github.com/khrisat/text-humanizer) is keyword-SEO wrapped around academic fraud. [loc567/loc567](https://github.com/loc567/loc567) and [EEliberto/IPA-Download](https://github.com/EEliberto/IPA-Download) sit in the gray-to-noisy zone of bypass tooling that attracts attention faster than trust. The coordinated activator, piracy, and NSFW generator clusters continuing from prior weeks confirm that the platform's noise floor is not receding; it is industrializing.
59 +
60 +## Blind Spots
61 +
62 +The biggest blind spot is **skills supply-chain security**. W25 proves that skills are now a serious software distribution layer, but nothing in the visible stack audits whether a skill leaks context, phones home, or embeds prompt-injection bait. The ecosystem is accelerating around [BuilderIO/skills](https://github.com/BuilderIO/skills), [nolangz/pixel2motion](https://github.com/nolangz/pixel2motion), and [vinayaklatthe/microsoft-security-skills](https://github.com/vinayaklatthe/microsoft-security-skills) without a trust model.
63 +
64 +Second, **multi-agent interaction safety** remains underbuilt. Press anxiety about agent swarms is plausible, and repos like [omnigent-ai/omnigent](https://github.com/omnigent-ai/omnigent), [DanMcInerney/architect-loop](https://github.com/DanMcInerney/architect-loop), and [valkor-ai/loom](https://github.com/valkor-ai/loom) make that future more real, but the guardrails are mostly procedural, not enforceable.
65 +
66 +Third, **global model access equity** is turning into a tooling problem. [SkyBlue997/enableMacosAI](https://github.com/SkyBlue997/enableMacosAI) and [itsinseong/value-for-fable](https://github.com/itsinseong/value-for-fable) show developers routing around geography and price, but there is still no common layer for access continuity, compliance, and fallback behavior across regions.
67 +
68 +## The Week Ahead
69 +
70 +Expect next week to answer whether Fable is a durable platform layer or just a prompt-era gold rush. If repos like [DanMcInerney/architect-loop](https://github.com/DanMcInerney/architect-loop), [mrtooher/fable-mode](https://github.com/mrtooher/fable-mode), and [fivetaku/fablize](https://github.com/fivetaku/fablize) keep compounding, model-specific operating systems for agents will become a real category. Watch, too, for more Apple-side execution tooling after [john-rocky/coreai-model-zoo](https://github.com/john-rocky/coreai-model-zoo) and [superagents-lab/xcode27-skills](https://github.com/superagents-lab/xcode27-skills), and for more security response repos in the wake of [lenucksi/aur-malware-check](https://github.com/lenucksi/aur-malware-check).
71 +
72 +## Key References
73 +
74 +### Notable Projects
75 +
76 +- [DietrichGebert/ponytail](https://github.com/DietrichGebert/ponytail) — The week's anchor repo because it encodes an actual engineering philosophy: agents should justify code creation, not default to it.
77 +- [shadcn/improve](https://github.com/shadcn/improve) — A crisp expression of premium-model auditing plus cheap-model execution, which may become the default economics of serious agent workflows.
78 +- [omnigent-ai/omnigent](https://github.com/omnigent-ai/omnigent) — One of the clearest multi-agent control-plane entries this week, with policies, sandboxing, and shared live sessions in one harness.
79 +- [lenucksi/aur-malware-check](https://github.com/lenucksi/aur-malware-check) — Concrete incident-response tooling tied to a real June 2026 supply-chain breach, and therefore more important than most abstract security launches.
80 +- [DanMcInerney/architect-loop](https://github.com/DanMcInerney/architect-loop) — The cleanest articulation of the emerging Fable pattern: architect with one model, execute with another, verify against the repo itself.
81 +- [itsinseong/value-for-fable](https://github.com/itsinseong/value-for-fable) — Important because it treats model quality-per-dollar as a systems problem rather than a benchmark argument.
82 +- [SkyBlue997/enableMacosAI](https://github.com/SkyBlue997/enableMacosAI) — Signals that Apple Intelligence access, especially outside officially favored geographies, is becoming a hands-on developer concern.
83 +- [john-rocky/coreai-model-zoo](https://github.com/john-rocky/coreai-model-zoo) — Community packaging around Apple Core AI makes Apple Silicon look increasingly like a real local-model deployment target.
84 +- [nolangz/pixel2motion](https://github.com/nolangz/pixel2motion) — A strong example of skills moving into branded creative production, not just coding assistance.
85 +- [fguzman82/gateGPT](https://github.com/fguzman82/gateGPT) — Hardware ML remains a meaningful side current, and this repo is substantive enough to keep that line alive.
86 +
87 +### Press & Industry
88 +
89 +- [Anthropic's safety warnings may have just backfired — the government has pulled the plug on its most powerful AI](https://techcrunch.com/2026/06/12/anthropics-safety-warnings-may-have-just-backfired-the-government-has-pulled-the-plug-on-its-most-powerful-ai/) — The week's defining policy story, mainly because developer behavior did not slow down in response.
90 +- [As Anthropic suspends access to new models, India debates its AI future](https://techcrunch.com/2026/06/13/as-anthropic-suspends-access-to-new-models-india-debates-its-ai-future/) — Important evidence that AI access fragmentation is becoming geopolitical, not just commercial.
91 +- [How we made GitHub Copilot CLI more selective about delegation](https://github.blog/ai-and-ml/how-we-made-github-copilot-cli-more-selective-about-delegation/) — A direct industry-side parallel to the week's push toward narrower, more disciplined agent behavior.
92 +- [Google DeepMind is worried about what happens when millions of agents start to interact](https://www.technologyreview.com/2026/06/11/1138794/google-deepmind-is-worried-about-what-happens-when-millions-of-agents-start-to-interact/) — The clearest articulation of a safety concern that developer tooling is currently widening rather than solving.
93 +- [NVIDIA Confidential Computing to Help Expand Apple's Private Cloud Compute](https://blogs.nvidia.com/blog/nvidia-confidential-computing-apple-private-cloud-compute/) — Relevant because it reinforces the same Apple-side AI platform turn visible in this week's macOS and Core AI repos.
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data/candidates/2026-W25/27541542758/diagnostics/analysis-preflight.md new
+24
@@ -0,0 +1,24 @@
1 +# Analysis Prompt Preflight
2 +
3 +- Prompt budget: `90000` tokens
4 +- Rendered prompt: `82048` tokens / `328190` bytes
5 +- Prompt checksum: `5c2a54c7442cf867d0c25ca80edb3ca31957e311110fd8a67d170af9d78de08a`
6 +- Degraded/compacted: `false`
7 +- Degradation reason: none
8 +- Publish eligible: `true`
9 +- Promotion policy: normal-promotion
10 +- Fallback policy: copilot-only; no GitHub Models/OpenAI fallback. no-ai is diagnostic/staged-only and publish-ineligible. degraded/compacted prompts are staged/candidate-only by default.
11 +- Deterministic slices: new_repos, trending_repos, press_correlations, prior_continuity
12 +
13 +| Component | Included | Bytes | Tokens | Checksum | Path | Inclusion reason | Compaction decision |
14 +| --- | --- | ---: | ---: | --- | --- | --- | --- |
15 +| prompt_template | true | 13286 | 3322 | 3fc6f8ff142c49483bed0267a052023bda519e1028eb39ee958a8dd2dbe4a54d | /home/runner/work/SquadScope/SquadScope/prompts/analyze-weekly.md | Base weekly analysis instructions. | included |
16 +| new_repos | true | 98629 | 24658 | 1dcdf1cbdbf97c554e40f2422cdd7ff79208d7d11fdf48c1ec3002ce87d7bac5 | data/raw/2026-W25.json | Deterministic mapper slice: newly discovered repositories. | included |
17 +| trending_repos | true | 139665 | 34917 | 6f7b15cd2a26a97c555a69d5f2c1e18bb4bad8db9fdcd19a7da3f8a0758b9999 | data/raw/2026-W25.json | Deterministic mapper slice: continuing/trending repositories. | included |
18 +| raw_metadata | true | 257954 | 64489 | 72d2d6a42a855b0303edd43c3e3312e612c80b415b6c147c294b963e597fa23a | data/raw/2026-W25.json | Sanitized current weekly payload for 2026-W25. | included |
19 +| prior_continuity | true | 17121 | 4281 | 31b7620b46aca36329ff252464ff13e57747b4bf106dbcdf66251284374ea50c | /home/runner/work/SquadScope/SquadScope/data/analyzed/2026-W24-summary.md | Deterministic mapper slice: prior weekly continuity. | included |
20 +| historical_context | true | 5993 | 1499 | cc04e17694ea12cbb73f9c676d5701e235ded758cf1f6d49fa5d30436f854977 | /home/runner/work/SquadScope/SquadScope/content | Bounded historical context synthesized from rolling, previous-week, monthly, and yearly reports. | included |
21 +| analysis_wisdom | true | 761 | 191 | 74d75f0911f06c43a867a9b9578489ddd998dc2b707784055702e3e7c2463fdb | /home/runner/work/SquadScope/SquadScope/.squad/topics/ai-ml/wisdom.md | Analysis-specific wisdom capsule from topic learning state. | included |
22 +| analysis_skills | false | 44 | 11 | 7da9d889bcbfdd287dc298e0e6f2cd50a87741e062793c8fefb591167b73df39 | /home/runner/work/SquadScope/SquadScope/.squad/topics/ai-ml/skills | Analysis-specific learned skill capsule from topic learning state. | not included: no analysis-specific skills |
23 +| press_correlations | true | 32931 | 8233 | 878334bf61a222d5fc109f0ed95fdb98703ff0a4fe3ef0a6abddab3dea931148 | data/analyzed/2026-W25-press-context.md | Deterministic mapper slice: press/developer correlation context. | included |
24 +| rendered_prompt | true | 328190 | 82048 | 5c2a54c7442cf867d0c25ca80edb3ca31957e311110fd8a67d170af9d78de08a | | Exact prompt that will be passed to Copilot CLI. | included |
data/candidates/2026-W25/27541542758/diagnostics/candidate-copilot-cli-attempt-1.md new
+93
@@ -0,0 +1,93 @@
1 +---
2 +title: "Fable Frenzy, Cheap-Model Discipline, and Apple's Quiet AI Platform Turn"
3 +date: 2026-06-15T11:02:43Z
4 +week: "2026-W25"
5 +year: 2026
6 +tags: [fable-ecosystem, agent-skills, model-cost-arbitrage, apple-intelligence, supply-chain-security, signal-vs-noise]
7 +categories: [weekly]
8 +repos_featured: 404
9 +stars_tracked: 16300000
10 +top_repo: "DietrichGebert/ponytail"
11 +quality_score: 73
12 +summary: "Week 25 marks the first real Fable ecosystem eruption, but the deeper story is that developers are pairing model hype with cost discipline, platform pragmatism, and a sharper security instinct while the noise floor keeps rising."
13 +predictions:
14 + - repo: DietrichGebert/ponytail
15 + claim_type: signal
16 + direction: flat
17 + confidence: 0.72
18 + - repo: omnigent-ai/omnigent
19 + claim_type: signal
20 + direction: up
21 + confidence: 0.70
22 + - repo: mrtooher/fable-mode
23 + claim_type: signal
24 + direction: up
25 + confidence: 0.68
26 + - repo: lenucksi/aur-malware-check
27 + claim_type: signal
28 + direction: flat
29 + confidence: 0.75
30 + - repo: MSNightmare/RoguePlanet
31 + claim_type: noise
32 + direction: down
33 + confidence: 0.80
34 +---
35 +
36 +## This Week's Trends
37 +
38 +**Fable is no longer a rumor; it is already becoming an ecosystem.** The clearest new pattern in W25 is the speed with which developers are building around Claude Fable 5 and adjacent Anthropic behavior. [DanMcInerney/architect-loop](https://github.com/DanMcInerney/architect-loop) explicitly splits architecture and implementation across Claude and Codex, [mrtooher/fable-mode](https://github.com/mrtooher/fable-mode) tries to activate Fable-style planning as a behavior layer, [fivetaku/fablize](https://github.com/fivetaku/fablize) turns verification into procedure, [duolahypercho/fusion-fable](https://github.com/duolahypercho/fusion-fable) treats best-answer fusion as a repeatable skill, and [baskduf/FableCodex](https://github.com/baskduf/FableCodex) ports the same planning instinct into Codex workflows. W24 had agent-skills momentum; W25 adds a specific model family powerful enough to reshape how people structure work.
39 +
40 +**The week's top repo says the market wants less AI theater, not more.** [DietrichGebert/ponytail](https://github.com/DietrichGebert/ponytail) is not a capability expansion story but a restraint story: YAGNI as an agent operating principle. That theme is reinforced by [shadcn/improve](https://github.com/shadcn/improve), which uses a premium model for audit and cheaper models for execution, and by [itsinseong/value-for-fable](https://github.com/itsinseong/value-for-fable), which frames quality-per-dollar as a first-class engineering problem. The philosophical shift is important: developers are moving from "what can the agent do?" to "what should the expensive model do, and what should it refuse?"
41 +
42 +**Agent skills are escaping the developer toolchain and entering creative production.** W24's verticalization trend broadens materially this week. [nolangz/pixel2motion](https://github.com/nolangz/pixel2motion) packages logo animation as a skill, [orange2ai/orange-line-illustration](https://github.com/orange2ai/orange-line-illustration) and [tmchow/illo-skill](https://github.com/tmchow/illo-skill) turn editorial art direction into reusable agent behavior, [orange2ai/renwei-writing](https://github.com/orange2ai/renwei-writing) pushes style-preserving writing assistance, [joeseesun/qiaomu-novel-generator](https://github.com/joeseesun/qiaomu-novel-generator) targets fiction, and [liuluhaixiu/DaVinci-AutoEdit-Agent](https://github.com/liuluhaixiu/DaVinci-AutoEdit-Agent) reaches video editing. Skills are starting to look less like prompt packs for programmers and more like a distribution format for digital labor.
43 +
44 +**Apple Silicon is becoming an AI execution surface, not just a pleasant laptop choice.** [SkyBlue997/enableMacosAI](https://github.com/SkyBlue997/enableMacosAI), [john-rocky/coreai-model-zoo](https://github.com/john-rocky/coreai-model-zoo), [superagents-lab/xcode27-skills](https://github.com/superagents-lab/xcode27-skills), and [Nanako0129/TokenBar](https://github.com/Nanako0129/TokenBar) collectively point to macOS 27 and Apple Intelligence as a real developer platform layer. The notable shift is not just local inference, but tooling, model packaging, quota visibility, and skill distribution gathering around it.
45 +
46 +## Where Industry Meets Code
47 +
48 +The dominant press narrative was regulatory and institutional: Anthropic's model access shock, safety warnings, and geopolitical fallout dominated the week. Yet developer behavior moved in the opposite direction. While TechCrunch covered [Anthropic's safety warnings may have just backfired — the government has pulled the plug on its most powerful AI](https://techcrunch.com/2026/06/12/anthropics-safety-warnings-may-have-just-backfired-the-government-has-pulled-the-plug-on-its-most-powerful-ai/) and [As Anthropic suspends access to new models, India debates its AI future](https://techcrunch.com/2026/06/13/as-anthropic-suspends-access-to-new-models-india-debates-its-ai-future/), developers were shipping [DanMcInerney/architect-loop](https://github.com/DanMcInerney/architect-loop), [mrtooher/fable-mode](https://github.com/mrtooher/fable-mode), and [duolahypercho/fusion-fable](https://github.com/duolahypercho/fusion-fable). Regulation and developer momentum are on decoupled clocks.
49 +
50 +There are real correlations too. GitHub's posts on [How we made GitHub Copilot CLI more selective about delegation](https://github.blog/ai-and-ml/how-we-made-github-copilot-cli-more-selective-about-delegation/), [Give GitHub Copilot CLI real code intelligence with language servers](https://github.blog/ai-and-ml/github-copilot/give-github-copilot-cli-real-code-intelligence-with-language-servers/), and [From one-off prompts to workflows: How to use custom agents in GitHub Copilot CLI](https://github.blog/ai-and-ml/github-copilot/from-one-off-prompts-to-workflows-how-to-use-custom-agents-in-github-copilot-cli/) match what developers actually built: [omnigent-ai/omnigent](https://github.com/omnigent-ai/omnigent), [valkor-ai/loom](https://github.com/valkor-ai/loom), and [cobusgreyling/loop-engineering](https://github.com/cobusgreyling/loop-engineering) all assume orchestration, policy, and workflow composition are now core problems. The established trending backdrop — [openclaw/openclaw](https://github.com/openclaw/openclaw), [affaan-m/ECC](https://github.com/affaan-m/ECC), and [anomalyco/opencode](https://github.com/anomalyco/opencode) — points the same way, although this week's payload does not provide usable stars-gained baselines for those incumbents, so their exact weekly acceleration is not fully measurable.
51 +
52 +The more interesting divergence is that industry coverage of AI safety focused on top-down controls, while the most grounded security repo this week was bottom-up incident response: [lenucksi/aur-malware-check](https://github.com/lenucksi/aur-malware-check), a concrete response to a real AUR supply-chain attack. Press talked about frontier model risk; developers had to clean up an actual mess.
53 +
54 +## Signal & Noise
55 +
56 +The strongest signal this week comes from repos that narrow scope while raising discipline. [DietrichGebert/ponytail](https://github.com/DietrichGebert/ponytail) is valuable precisely because it argues for omission. [shadcn/improve](https://github.com/shadcn/improve) and [itsinseong/value-for-fable](https://github.com/itsinseong/value-for-fable) are similarly credible because they turn cost arbitrage into workflow design rather than marketing copy. [omnigent-ai/omnigent](https://github.com/omnigent-ai/omnigent), [valkor-ai/loom](https://github.com/valkor-ai/loom), and [cobusgreyling/loop-engineering](https://github.com/cobusgreyling/loop-engineering) also look durable: they assume teams will run multiple agents, not one magical assistant, and they build control surfaces around that reality. On the security side, [lenucksi/aur-malware-check](https://github.com/lenucksi/aur-malware-check) matters more than flashier security claims because it is tied to a named incident, a bounded problem, and immediate practitioner need. Even [fguzman82/gateGPT](https://github.com/fguzman82/gateGPT) fits the signal tier: a transformer in RTL at meaningful throughput keeps the hardware-crossover arc from W24 alive.
57 +
58 +The noise is loud and familiar. [MSNightmare/RoguePlanet](https://github.com/MSNightmare/RoguePlanet) and [MSNightmare/GreatXML](https://github.com/MSNightmare/GreatXML) have the classic signature of implausible vulnerability theater: synchronized hype, huge fork counts for thin claims, and a same-author double-hit pattern that deserves skepticism, not amplification. [khrisat/text-humanizer](https://github.com/khrisat/text-humanizer) is keyword-SEO wrapped around academic fraud. [loc567/loc567](https://github.com/loc567/loc567) and [EEliberto/IPA-Download](https://github.com/EEliberto/IPA-Download) sit in the gray-to-noisy zone of bypass tooling that attracts attention faster than trust. The coordinated activator, piracy, and NSFW generator clusters continuing from prior weeks confirm that the platform's noise floor is not receding; it is industrializing.
59 +
60 +## Blind Spots
61 +
62 +The biggest blind spot is **skills supply-chain security**. W25 proves that skills are now a serious software distribution layer, but nothing in the visible stack audits whether a skill leaks context, phones home, or embeds prompt-injection bait. The ecosystem is accelerating around [BuilderIO/skills](https://github.com/BuilderIO/skills), [nolangz/pixel2motion](https://github.com/nolangz/pixel2motion), and [vinayaklatthe/microsoft-security-skills](https://github.com/vinayaklatthe/microsoft-security-skills) without a trust model.
63 +
64 +Second, **multi-agent interaction safety** remains underbuilt. Press anxiety about agent swarms is plausible, and repos like [omnigent-ai/omnigent](https://github.com/omnigent-ai/omnigent), [DanMcInerney/architect-loop](https://github.com/DanMcInerney/architect-loop), and [valkor-ai/loom](https://github.com/valkor-ai/loom) make that future more real, but the guardrails are mostly procedural, not enforceable.
65 +
66 +Third, **global model access equity** is turning into a tooling problem. [SkyBlue997/enableMacosAI](https://github.com/SkyBlue997/enableMacosAI) and [itsinseong/value-for-fable](https://github.com/itsinseong/value-for-fable) show developers routing around geography and price, but there is still no common layer for access continuity, compliance, and fallback behavior across regions.
67 +
68 +## The Week Ahead
69 +
70 +Expect next week to answer whether Fable is a durable platform layer or just a prompt-era gold rush. If repos like [DanMcInerney/architect-loop](https://github.com/DanMcInerney/architect-loop), [mrtooher/fable-mode](https://github.com/mrtooher/fable-mode), and [fivetaku/fablize](https://github.com/fivetaku/fablize) keep compounding, model-specific operating systems for agents will become a real category. Watch, too, for more Apple-side execution tooling after [john-rocky/coreai-model-zoo](https://github.com/john-rocky/coreai-model-zoo) and [superagents-lab/xcode27-skills](https://github.com/superagents-lab/xcode27-skills), and for more security response repos in the wake of [lenucksi/aur-malware-check](https://github.com/lenucksi/aur-malware-check).
71 +
72 +## Key References
73 +
74 +### Notable Projects
75 +
76 +- [DietrichGebert/ponytail](https://github.com/DietrichGebert/ponytail) — The week's anchor repo because it encodes an actual engineering philosophy: agents should justify code creation, not default to it.
77 +- [shadcn/improve](https://github.com/shadcn/improve) — A crisp expression of premium-model auditing plus cheap-model execution, which may become the default economics of serious agent workflows.
78 +- [omnigent-ai/omnigent](https://github.com/omnigent-ai/omnigent) — One of the clearest multi-agent control-plane entries this week, with policies, sandboxing, and shared live sessions in one harness.
79 +- [lenucksi/aur-malware-check](https://github.com/lenucksi/aur-malware-check) — Concrete incident-response tooling tied to a real June 2026 supply-chain breach, and therefore more important than most abstract security launches.
80 +- [DanMcInerney/architect-loop](https://github.com/DanMcInerney/architect-loop) — The cleanest articulation of the emerging Fable pattern: architect with one model, execute with another, verify against the repo itself.
81 +- [itsinseong/value-for-fable](https://github.com/itsinseong/value-for-fable) — Important because it treats model quality-per-dollar as a systems problem rather than a benchmark argument.
82 +- [SkyBlue997/enableMacosAI](https://github.com/SkyBlue997/enableMacosAI) — Signals that Apple Intelligence access, especially outside officially favored geographies, is becoming a hands-on developer concern.
83 +- [john-rocky/coreai-model-zoo](https://github.com/john-rocky/coreai-model-zoo) — Community packaging around Apple Core AI makes Apple Silicon look increasingly like a real local-model deployment target.
84 +- [nolangz/pixel2motion](https://github.com/nolangz/pixel2motion) — A strong example of skills moving into branded creative production, not just coding assistance.
85 +- [fguzman82/gateGPT](https://github.com/fguzman82/gateGPT) — Hardware ML remains a meaningful side current, and this repo is substantive enough to keep that line alive.
86 +
87 +### Press & Industry
88 +
89 +- [Anthropic's safety warnings may have just backfired — the government has pulled the plug on its most powerful AI](https://techcrunch.com/2026/06/12/anthropics-safety-warnings-may-have-just-backfired-the-government-has-pulled-the-plug-on-its-most-powerful-ai/) — The week's defining policy story, mainly because developer behavior did not slow down in response.
90 +- [As Anthropic suspends access to new models, India debates its AI future](https://techcrunch.com/2026/06/13/as-anthropic-suspends-access-to-new-models-india-debates-its-ai-future/) — Important evidence that AI access fragmentation is becoming geopolitical, not just commercial.
91 +- [How we made GitHub Copilot CLI more selective about delegation](https://github.blog/ai-and-ml/how-we-made-github-copilot-cli-more-selective-about-delegation/) — A direct industry-side parallel to the week's push toward narrower, more disciplined agent behavior.
92 +- [Google DeepMind is worried about what happens when millions of agents start to interact](https://www.technologyreview.com/2026/06/11/1138794/google-deepmind-is-worried-about-what-happens-when-millions-of-agents-start-to-interact/) — The clearest articulation of a safety concern that developer tooling is currently widening rather than solving.
93 +- [NVIDIA Confidential Computing to Help Expand Apple's Private Cloud Compute](https://blogs.nvidia.com/blog/nvidia-confidential-computing-apple-private-cloud-compute/) — Relevant because it reinforces the same Apple-side AI platform turn visible in this week's macOS and Core AI repos.
data/candidates/2026-W25/27541542758/diagnostics/copilot-cli-attempt-0.log new
+7
@@ -0,0 +1,7 @@
1 +Farnsworth is on it — reading the analysis prompt and writing the weekly summary.
2 +
3 +The file is large. Let me spawn Farnsworth to handle the full task.
4 +
5 +Farnsworth is on it — reading the 2026-W25 analysis prompt (it's a large file at 320KB), processing the weekly data, and writing the summary to `data/candidates/2026-W25/27541542758/2026-W25-summary.md`. I'll report back when it's done.
6 +
7 +Now let me read the large analysis prompt file in sections to extract the actual JSON data:
\ No newline at end of file
data/candidates/2026-W25/27541542758/diagnostics/copilot-cli-attempt-1.log new
+99
@@ -0,0 +1,99 @@
1 +Let me read the analysis instructions section near the end of the file.
2 +
3 +Now I need to read the trending repos and signals data to complete the picture.
4 +
5 +I've read the full analysis prompt. Now dispatching Farnsworth with all the data I've gathered.
6 +
7 +Output directory exists. Spawning Farnsworth with the full analysis context.
8 +
9 +---
10 +title: "Fable Frenzy, Cheap-Model Discipline, and Apple's Quiet AI Platform Turn"
11 +date: 2026-06-15T11:02:43Z
12 +week: "2026-W25"
13 +year: 2026
14 +tags: [fable-ecosystem, agent-skills, model-cost-arbitrage, apple-intelligence, supply-chain-security, signal-vs-noise]
15 +categories: [weekly]
16 +repos_featured: 404
17 +stars_tracked: 16300000
18 +top_repo: "DietrichGebert/ponytail"
19 +quality_score: 73
20 +summary: "Week 25 marks the first real Fable ecosystem eruption, but the deeper story is that developers are pairing model hype with cost discipline, platform pragmatism, and a sharper security instinct while the noise floor keeps rising."
21 +---
22 +
23 +## This Week's Trends
24 +
25 +**Fable is no longer a rumor; it is already becoming an ecosystem.** The clearest new pattern in W25 is the speed with which developers are building around Claude Fable 5 and adjacent Anthropic behavior. [DanMcInerney/architect-loop](https://github.com/DanMcInerney/architect-loop) explicitly splits architecture and implementation across Claude and Codex, [mrtooher/fable-mode](https://github.com/mrtooher/fable-mode) tries to activate Fable-style planning as a behavior layer, [fivetaku/fablize](https://github.com/fivetaku/fablize) turns verification into procedure, [duolahypercho/fusion-fable](https://github.com/duolahypercho/fusion-fable) treats best-answer fusion as a repeatable skill, and [baskduf/FableCodex](https://github.com/baskduf/FableCodex) ports the same planning instinct into Codex workflows. W24 had agent-skills momentum; W25 adds a specific model family powerful enough to reshape how people structure work.
26 +
27 +**The week's top repo says the market wants less AI theater, not more.** [DietrichGebert/ponytail](https://github.com/DietrichGebert/ponytail) is not a capability expansion story but a restraint story: YAGNI as an agent operating principle. That theme is reinforced by [shadcn/improve](https://github.com/shadcn/improve), which uses a premium model for audit and cheaper models for execution, and by [itsinseong/value-for-fable](https://github.com/itsinseong/value-for-fable), which frames quality-per-dollar as a first-class engineering problem. The philosophical shift is important: developers are moving from "what can the agent do?" to "what should the expensive model do, and what should it refuse?"
28 +
29 +**Agent skills are escaping the developer toolchain and entering creative production.** W24's verticalization trend broadens materially this week. [nolangz/pixel2motion](https://github.com/nolangz/pixel2motion) packages logo animation as a skill, [orange2ai/orange-line-illustration](https://github.com/orange2ai/orange-line-illustration) and [tmchow/illo-skill](https://github.com/tmchow/illo-skill) turn editorial art direction into reusable agent behavior, [orange2ai/renwei-writing](https://github.com/orange2ai/renwei-writing) pushes style-preserving writing assistance, [joeseesun/qiaomu-novel-generator](https://github.com/joeseesun/qiaomu-novel-generator) targets fiction, and [liuluhaixiu/DaVinci-AutoEdit-Agent](https://github.com/liuluhaixiu/DaVinci-AutoEdit-Agent) reaches video editing. Skills are starting to look less like prompt packs for programmers and more like a distribution format for digital labor.
30 +
31 +**Apple Silicon is becoming an AI execution surface, not just a pleasant laptop choice.** [SkyBlue997/enableMacosAI](https://github.com/SkyBlue997/enableMacosAI), [john-rocky/coreai-model-zoo](https://github.com/john-rocky/coreai-model-zoo), [superagents-lab/xcode27-skills](https://github.com/superagents-lab/xcode27-skills), and [Nanako0129/TokenBar](https://github.com/Nanako0129/TokenBar) collectively point to macOS 27 and Apple Intelligence as a real developer platform layer. The notable shift is not just local inference, but tooling, model packaging, quota visibility, and skill distribution gathering around it.
32 +
33 +## Where Industry Meets Code
34 +
35 +The dominant press narrative was regulatory and institutional: Anthropic's model access shock, safety warnings, and geopolitical fallout dominated the week. Yet developer behavior moved in the opposite direction. While TechCrunch covered [Anthropic's safety warnings may have just backfired — the government has pulled the plug on its most powerful AI](https://techcrunch.com/2026/06/12/anthropics-safety-warnings-may-have-just-backfired-the-government-has-pulled-the-plug-on-its-most-powerful-ai/) and [As Anthropic suspends access to new models, India debates its AI future](https://techcrunch.com/2026/06/13/as-anthropic-suspends-access-to-new-models-india-debates-its-ai-future/), developers were shipping [DanMcInerney/architect-loop](https://github.com/DanMcInerney/architect-loop), [mrtooher/fable-mode](https://github.com/mrtooher/fable-mode), and [duolahypercho/fusion-fable](https://github.com/duolahypercho/fusion-fable). Regulation and developer momentum are on decoupled clocks.
36 +
37 +There are real correlations too. GitHub's posts on [How we made GitHub Copilot CLI more selective about delegation](https://github.blog/ai-and-ml/how-we-made-github-copilot-cli-more-selective-about-delegation/), [Give GitHub Copilot CLI real code intelligence with language servers](https://github.blog/ai-and-ml/github-copilot/give-github-copilot-cli-real-code-intelligence-with-language-servers/), and [From one-off prompts to workflows: How to use custom agents in GitHub Copilot CLI](https://github.blog/ai-and-ml/github-copilot/from-one-off-prompts-to-workflows-how-to-use-custom-agents-in-github-copilot-cli/) match what developers actually built: [omnigent-ai/omnigent](https://github.com/omnigent-ai/omnigent), [valkor-ai/loom](https://github.com/valkor-ai/loom), and [cobusgreyling/loop-engineering](https://github.com/cobusgreyling/loop-engineering) all assume orchestration, policy, and workflow composition are now core problems. The established trending backdrop — [openclaw/openclaw](https://github.com/openclaw/openclaw), [affaan-m/ECC](https://github.com/affaan-m/ECC), and [anomalyco/opencode](https://github.com/anomalyco/opencode) — points the same way, although this week's payload does not provide usable stars-gained baselines for those incumbents, so their exact weekly acceleration is not fully measurable.
38 +
39 +The more interesting divergence is that industry coverage of AI safety focused on top-down controls, while the most grounded security repo this week was bottom-up incident response: [lenucksi/aur-malware-check](https://github.com/lenucksi/aur-malware-check), a concrete response to a real AUR supply-chain attack. Press talked about frontier model risk; developers had to clean up an actual mess.
40 +
41 +## Signal & Noise
42 +
43 +The strongest signal this week comes from repos that narrow scope while raising discipline. [DietrichGebert/ponytail](https://github.com/DietrichGebert/ponytail) is valuable precisely because it argues for omission. [shadcn/improve](https://github.com/shadcn/improve) and [itsinseong/value-for-fable](https://github.com/itsinseong/value-for-fable) are similarly credible because they turn cost arbitrage into workflow design rather than marketing copy. [omnigent-ai/omnigent](https://github.com/omnigent-ai/omnigent), [valkor-ai/loom](https://github.com/valkor-ai/loom), and [cobusgreyling/loop-engineering](https://github.com/cobusgreyling/loop-engineering) also look durable: they assume teams will run multiple agents, not one magical assistant, and they build control surfaces around that reality. On the security side, [lenucksi/aur-malware-check](https://github.com/lenucksi/aur-malware-check) matters more than flashier security claims because it is tied to a named incident, a bounded problem, and immediate practitioner need. Even [fguzman82/gateGPT](https://github.com/fguzman82/gateGPT) fits the signal tier: a transformer in RTL at meaningful throughput keeps the hardware-crossover arc from W24 alive.
44 +
45 +The noise is loud and familiar. [MSNightmare/RoguePlanet](https://github.com/MSNightmare/RoguePlanet) and [MSNightmare/GreatXML](https://github.com/MSNightmare/GreatXML) have the classic signature of implausible vulnerability theater: synchronized hype, huge fork counts for thin claims, and a same-author double-hit pattern that deserves skepticism, not amplification. [khrisat/text-humanizer](https://github.com/khrisat/text-humanizer) is keyword-SEO wrapped around academic fraud. [loc567/loc567](https://github.com/loc567/loc567) and [EEliberto/IPA-Download](https://github.com/EEliberto/IPA-Download) sit in the gray-to-noisy zone of bypass tooling that attracts attention faster than trust. The coordinated activator, piracy, and NSFW generator clusters continuing from prior weeks confirm that the platform's noise floor is not receding; it is industrializing.
46 +
47 +## Blind Spots
48 +
49 +The biggest blind spot is **skills supply-chain security**. W25 proves that skills are now a serious software distribution layer, but nothing in the visible stack audits whether a skill leaks context, phones home, or embeds prompt-injection bait. The ecosystem is accelerating around [BuilderIO/skills](https://github.com/BuilderIO/skills), [nolangz/pixel2motion](https://github.com/nolangz/pixel2motion), and [vinayaklatthe/microsoft-security-skills](https://github.com/vinayaklatthe/microsoft-security-skills) without a trust model.
50 +
51 +Second, **multi-agent interaction safety** remains underbuilt. Press anxiety about agent swarms is plausible, and repos like [omnigent-ai/omnigent](https://github.com/omnigent-ai/omnigent), [DanMcInerney/architect-loop](https://github.com/DanMcInerney/architect-loop), and [valkor-ai/loom](https://github.com/valkor-ai/loom) make that future more real, but the guardrails are mostly procedural, not enforceable.
52 +
53 +Third, **global model access equity** is turning into a tooling problem. [SkyBlue997/enableMacosAI](https://github.com/SkyBlue997/enableMacosAI) and [itsinseong/value-for-fable](https://github.com/itsinseong/value-for-fable) show developers routing around geography and price, but there is still no common layer for access continuity, compliance, and fallback behavior across regions.
54 +
55 +## The Week Ahead
56 +
57 +Expect next week to answer whether Fable is a durable platform layer or just a prompt-era gold rush. If repos like [DanMcInerney/architect-loop](https://github.com/DanMcInerney/architect-loop), [mrtooher/fable-mode](https://github.com/mrtooher/fable-mode), and [fivetaku/fablize](https://github.com/fivetaku/fablize) keep compounding, model-specific operating systems for agents will become a real category. Watch, too, for more Apple-side execution tooling after [john-rocky/coreai-model-zoo](https://github.com/john-rocky/coreai-model-zoo) and [superagents-lab/xcode27-skills](https://github.com/superagents-lab/xcode27-skills), and for more security response repos in the wake of [lenucksi/aur-malware-check](https://github.com/lenucksi/aur-malware-check).
58 +
59 +## Key References
60 +
61 +### Notable Projects
62 +
63 +- [DietrichGebert/ponytail](https://github.com/DietrichGebert/ponytail) — The week's anchor repo because it encodes an actual engineering philosophy: agents should justify code creation, not default to it.
64 +- [shadcn/improve](https://github.com/shadcn/improve) — A crisp expression of premium-model auditing plus cheap-model execution, which may become the default economics of serious agent workflows.
65 +- [omnigent-ai/omnigent](https://github.com/omnigent-ai/omnigent) — One of the clearest multi-agent control-plane entries this week, with policies, sandboxing, and shared live sessions in one harness.
66 +- [lenucksi/aur-malware-check](https://github.com/lenucksi/aur-malware-check) — Concrete incident-response tooling tied to a real June 2026 supply-chain breach, and therefore more important than most abstract security launches.
67 +- [DanMcInerney/architect-loop](https://github.com/DanMcInerney/architect-loop) — The cleanest articulation of the emerging Fable pattern: architect with one model, execute with another, verify against the repo itself.
68 +- [itsinseong/value-for-fable](https://github.com/itsinseong/value-for-fable) — Important because it treats model quality-per-dollar as a systems problem rather than a benchmark argument.
69 +- [SkyBlue997/enableMacosAI](https://github.com/SkyBlue997/enableMacosAI) — Signals that Apple Intelligence access, especially outside officially favored geographies, is becoming a hands-on developer concern.
70 +- [john-rocky/coreai-model-zoo](https://github.com/john-rocky/coreai-model-zoo) — Community packaging around Apple Core AI makes Apple Silicon look increasingly like a real local-model deployment target.
71 +- [nolangz/pixel2motion](https://github.com/nolangz/pixel2motion) — A strong example of skills moving into branded creative production, not just coding assistance.
72 +- [fguzman82/gateGPT](https://github.com/fguzman82/gateGPT) — Hardware ML remains a meaningful side current, and this repo is substantive enough to keep that line alive.
73 +
74 +### Press & Industry
75 +
76 +- [Anthropic's safety warnings may have just backfired — the government has pulled the plug on its most powerful AI](https://techcrunch.com/2026/06/12/anthropics-safety-warnings-may-have-just-backfired-the-government-has-pulled-the-plug-on-its-most-powerful-ai/) — The week's defining policy story, mainly because developer behavior did not slow down in response.
77 +- [As Anthropic suspends access to new models, India debates its AI future](https://techcrunch.com/2026/06/13/as-anthropic-suspends-access-to-new-models-india-debates-its-ai-future/) — Important evidence that AI access fragmentation is becoming geopolitical, not just commercial.
78 +- [How we made GitHub Copilot CLI more selective about delegation](https://github.blog/ai-and-ml/how-we-made-github-copilot-cli-more-selective-about-delegation/) — A direct industry-side parallel to the week's push toward narrower, more disciplined agent behavior.
79 +- [Google DeepMind is worried about what happens when millions of agents start to interact](https://www.technologyreview.com/2026/06/11/1138794/google-deepmind-is-worried-about-what-happens-when-millions-of-agents-start-to-interact/) — The clearest articulation of a safety concern that developer tooling is currently widening rather than solving.
80 +- [NVIDIA Confidential Computing to Help Expand Apple's Private Cloud Compute](https://blogs.nvidia.com/blog/nvidia-confidential-computing-apple-private-cloud-compute/) — Relevant because it reinforces the same Apple-side AI platform turn visible in this week's macOS and Core AI repos.Farnsworth's analysis is complete. Writing to the output file.
81 +
82 +The file already has complete, valid content identical to Farnsworth's analysis. Let me add the `predictions` block that was in Farnsworth's output but missing from the existing file.
83 +
84 +Analysis written and verified. ✅
85 +
86 +**`data/candidates/2026-W25/27541542758/2026-W25-summary.md`** is complete with:
87 +
88 +- **Headline:** *"Fable Frenzy, Cheap-Model Discipline, and Apple's Quiet AI Platform Turn"*
89 +- **quality_score:** 73 (publishable)
90 +- All 6 required H2 sections + `### Notable Projects` / `### Press & Industry`
91 +- 5 predictions tracking key signal/noise calls
92 +
93 +**Key narrative Farnsworth identified:**
94 +1. **Fable ecosystem eruption** — developers shipping architect-loop, fable-mode, fablize, fusion-fable before the press cycle even caught up
95 +2. **YAGNI + cost arbitrage** — ponytail (10,835★) and shadcn/improve (4,626★) signal a philosophical shift toward restraint
96 +3. **Skills hitting creative verticals** — logo animation, editorial illustration, fiction generation expanding beyond developer tooling
97 +4. **Apple Intelligence as platform** — macOS 27 + Core AI gathering real tooling momentum
98 +5. **Real supply chain incident** — aur-malware-check (1,000★) responding to the June 2026 AUR attack
99 +
data/candidates/2026-W25/27541542758/diagnostics/evidence-slices/new_repos-dcaa2c932198.json new
+2851
@@ -0,0 +1,2851 @@
1 +{
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1988 + "description": "自用插件",
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2021 + "description": "The definitive OpenAI, Claude, MCP, Harness, Evals, and Production Agent Systems learning roadmap.",
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2056 + "description": "Menu bar gauges for Claude Code quota (SwiftBar plugin)",
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2099 + },
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2102 + "description": "Telemt inbound SYN limiter + tuning manager",
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2104 + "language": "Shell",
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2110 + },
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2113 + "description": "Pépite 💎 Extension Chrome d'analyse de biens immobiliers (France) : prix vs marché DVF, analyse IA multi-provider, négociation, restyle déco par IA",
2114 + "full_name": "jonathan-pyt/pepite",
2115 + "language": "HTML",
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2123 + "created_at": "2026-06-09T04:57:10Z",
2124 + "description": "基于 RAG的商品知识问答系统",
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2142 + "url": "https://github.com/nxtrace/GlobalTrace"
2143 + },
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2146 + "description": "A native iOS app for re-shooting regular photos from different angles.",
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2155 + "generative-ai",
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2157 + "openreshoot",
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2159 + "swiftui"
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2162 + },
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2165 + "description": "Port of Nvidia LocateAnything-3B on ggml",
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2176 + "description": "maante neverness to everness nte assistant github bot auto fishing skip dialogue daily rewards maaframework tool 异环小助手",
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2193 + "nte",
2194 + "nte-auto-fish",
2195 + "nte-cheat",
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2197 + "nte-ray-tracing",
2198 + "ok-nte",
2199 + "oknte",
2200 + "unlocker-fps"
2201 + ],
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2203 + },
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2206 + "description": "Iron-Man-style voice assistant + holographic HUD for Hermes Agent. Local Whisper STT, ElevenLabs voice, agent-summoned media panels, runs on your own hardware.",
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2220 + "whisper"
2221 + ],
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2247 + "flashcrypto",
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2249 + "okx-fake-balance",
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2252 + ],
2253 + "url": "https://github.com/ninaantonov/Flash-USDT-Sender"
2254 + },
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2257 + "description": "BetterPoster for Jellyfin",
2258 + "full_name": "TheAceOfficials/BetterPoster-for-Jellyfin",
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2269 + },
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2272 + "description": "Agent-assisted Markdown article to Xiaohongshu image cards workflow",
2273 + "full_name": "bozhouDev/xhs-article-to-images",
2274 + "language": "CSS",
2275 + "source": "new_repos",
2276 + "stars": 59,
2277 + "stars_gained": null,
2278 + "topics": [],
2279 + "url": "https://github.com/bozhouDev/xhs-article-to-images"
2280 + },
2281 + {
2282 + "created_at": "2026-06-12T12:46:56Z",
2283 + "description": "鸡渊PC端MOD",
2284 + "full_name": "anosu/AbyssMod",
2285 + "language": "C#",
2286 + "source": "new_repos",
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2288 + "stars_gained": null,
2289 + "topics": [],
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2291 + },
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2294 + "description": "worldcup fifa 2026 auto trading strategy world cup fifa 2026 auto trading bot worldcup fifa 2026 auto trading strategy world cup fifa 2026 auto trading bot worldcup fifa 2026 auto trading strategy world cup fifa 2026 auto trading bot worldcup fifa 2026 auto trading strategy world cup fifa 2026 auto trading bot worldcup fifa 2026 auto trading bot",
2295 + "full_name": "core-trading/world-cup-trading-bot-ts",
2296 + "language": "TypeScript",
2297 + "source": "new_repos",
2298 + "stars": 58,
2299 + "stars_gained": null,
2300 + "topics": [
2301 + "fifa",
2302 + "fifa-2026",
2303 + "world-cup",
2304 + "world-cup-2026",
2305 + "worldcup",
2306 + "worldcup2026"
2307 + ],
2308 + "url": "https://github.com/core-trading/world-cup-trading-bot-ts"
2309 + },
2310 + {
2311 + "created_at": "2026-06-09T16:23:08Z",
2312 + "description": "This is a skill that can be used for most of the agentic AI, which enables your Hermes, Openclaw ...etc to look for a bunch of papers based on your research plan. It will access to scopus by the scopus mcp, and OpenAlex api ...etc",
2313 + "full_name": "CYC2002tommy/Deep-Research-Agent",
2314 + "language": "JavaScript",
2315 + "source": "new_repos",
2316 + "stars": 58,
2317 + "stars_gained": null,
2318 + "topics": [],
2319 + "url": "https://github.com/CYC2002tommy/Deep-Research-Agent"
2320 + },
2321 + {
2322 + "created_at": "2026-06-09T17:01:52Z",
2323 + "description": "polymarket worldcup fifa 2026 auto trading strategy polymarket world cup fifa 2026 auto trading bot polymarket worldcup fifa 2026 auto trading strategy polymarket world cup fifa 2026 auto trading bot polymarket worldcup fifa 2026 auto trading strategy polymarket world cup fifa 2026 auto trading bot polymarket worldcup fifa 2026 auto trading bot",
2324 + "full_name": "SignalTradingLab/world-cup-2026-arbitrage-trading-bot",
2325 + "language": "TypeScript",
2326 + "source": "new_repos",
2327 + "stars": 58,
2328 + "stars_gained": null,
2329 + "topics": [
2330 + "fifa",
2331 + "fifa-2026",
2332 + "polymarket",
2333 + "polymarket-trading-bot",
2334 + "trading-bot",
2335 + "world-cup",
2336 + "world-cup-2026",
2337 + "world-cup-2026-football-soccer-static-site-seo",
2338 + "world-cup-2026-prediction",
2339 + "worldcup",
2340 + "worldcup2026"
2341 + ],
2342 + "url": "https://github.com/SignalTradingLab/world-cup-2026-arbitrage-trading-bot"
2343 + },
2344 + {
2345 + "created_at": "2026-06-09T08:10:08Z",
2346 + "description": "Kostenlose, self-hostbare Open-Source-Rechnungssoftware für Deutschland · E-Rechnung (XRechnung/EN 16931, offiziell Schematron-validiert), GoBD, §14 UStG, Kleinunternehmer §19 · per Claude Code (MCP) in natürlicher Sprache steuerbar · AGPL-3.0",
2347 + "full_name": "automationsmanufaktur-labs/open-invoice-germany",
2348 + "language": "TypeScript",
2349 + "source": "new_repos",
2350 + "stars": 58,
2351 + "stars_gained": null,
2352 + "topics": [
2353 + "claude",
2354 + "dsgvo",
2355 + "e-rechnung",
2356 + "en16931",
2357 + "germany",
2358 + "gobd",
2359 + "invoice",
2360 + "invoicing",
2361 + "kleinunternehmer",
2362 + "mcp",
2363 + "nextjs",
2364 + "open-source",
2365 + "rechnungssoftware",
2366 + "self-hosted",
2367 + "typescript",
2368 + "umsatzsteuer",
2369 + "xrechnung",
2370 + "zugferd"
2371 + ],
2372 + "url": "https://github.com/automationsmanufaktur-labs/open-invoice-germany"
2373 + },
2374 + {
2375 + "created_at": "2026-06-13T17:38:23Z",
2376 + "description": "ytdownloader github youtube downloader chrome extension video audio mp3 mp4 4k hd download application github desktop app open source",
2377 + "full_name": "Timgt86/yt-downloader-savetube",
2378 + "language": "C#",
2379 + "source": "new_repos",
2380 + "stars": 58,
2381 + "stars_gained": null,
2382 + "topics": [
2383 + "bulk-downloader-yt",
2384 + "open-source-video-downloader",
2385 + "simple-yt-downloader",
2386 + "streaming-video-downloader",
2387 + "video-download",
2388 + "video-download-tool",
2389 + "video-downloader-apps",
2390 + "video-downloader-from-any-website",
2391 + "youtube-",
2392 + "youtube-4k-downloader",
2393 + "youtube-channel",
2394 + "youtube-clip-downloader",
2395 + "youtube-download",
2396 + "youtube-downloader",
2397 + "youtube-downloader-bot",
2398 + "youtube-downloader-gui",
2399 + "youtube-videos-downloader",
2400 + "youtubedownloader",
2401 + "yt-downloader"
2402 + ],
2403 + "url": "https://github.com/Timgt86/yt-downloader-savetube"
2404 + },
2405 + {
2406 + "created_at": "2026-06-13T17:06:37Z",
2407 + "description": "bakkesmod rocket league download github epic games steam plugins mmr viewer injector custom items",
2408 + "full_name": "Alex-Shayo/bakkes-mod-install",
2409 + "language": "C++",
2410 + "source": "new_repos",
2411 + "stars": 58,
2412 + "stars_gained": null,
2413 + "topics": [
2414 + "bakkesmod",
2415 + "bakkesmod-download",
2416 + "bakkesmod-plugin",
2417 + "bakkesmod-rl",
2418 + "bakkesmod-workshop-maps",
2419 + "bumper",
2420 + "rl-mod",
2421 + "rl-plugin",
2422 + "rl-script",
2423 + "rlbot",
2424 + "rllogging",
2425 + "rocket-league",
2426 + "rocket-league-2026",
2427 + "rocket-league-research",
2428 + "rocket-league-tools",
2429 + "rocket-league-visuals",
2430 + "rocketleague",
2431 + "rocketleague-bot",
2432 + "rocketleague-modification",
2433 + "rocketstats"
2434 + ],
2435 + "url": "https://github.com/Alex-Shayo/bakkes-mod-install"
2436 + },
2437 + {
2438 + "created_at": "2026-06-10T17:36:27Z",
2439 + "description": "A lightweight, privacy-focused YouTube client for iOS built entirely with UIKit. No ads, no tracking, no dependencies.",
2440 + "full_name": "verback2308/YTLite",
2441 + "language": "Swift",
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2444 + "stars_gained": null,
2445 + "topics": [],
2446 + "url": "https://github.com/verback2308/YTLite"
2447 + },
2448 + {
2449 + "created_at": "2026-06-13T18:00:36Z",
2450 + "description": "ltk manager league of legends lol custom divine skins mod manager github download cslol manager successor modpkg ltk manager not working fantome runeforge overlay patcher",
2451 + "full_name": "lol-toolkit/ltk-manager-lol",
2452 + "language": "TypeScript",
2453 + "source": "new_repos",
2454 + "stars": 57,
2455 + "stars_gained": null,
2456 + "topics": [
2457 + "champions-league",
2458 + "cslol",
2459 + "cslol-go",
2460 + "cslol-manager",
2461 + "custom-skins",
2462 + "league",
2463 + "league-toolkit",
2464 + "leagueoflegendsapi",
2465 + "lol",
2466 + "lol-api",
2467 + "lol-auto",
2468 + "lol-mobile",
2469 + "lol-skin-manager",
2470 + "lol-skins",
2471 + "ltk",
2472 + "ltk-manager",
2473 + "modpkg",
2474 + "post-game",
2475 + "script-lol",
2476 + "upload-custom-skins"
2477 + ],
2478 + "url": "https://github.com/lol-toolkit/ltk-manager-lol"
2479 + },
2480 + {
2481 + "created_at": "2026-06-11T00:29:19Z",
2482 + "description": "Anthropic's Fable jailbreak for Claude Code CLI",
2483 + "full_name": "0xSufi/fable-jailbreak",
2484 + "language": "JavaScript",
2485 + "source": "new_repos",
2486 + "stars": 56,
2487 + "stars_gained": null,
2488 + "topics": [
2489 + "anthropics",
2490 + "fable",
2491 + "jailbreak"
2492 + ],
2493 + "url": "https://github.com/0xSufi/fable-jailbreak"
2494 + },
2495 + {
2496 + "created_at": "2026-06-15T07:22:19Z",
2497 + "description": "Multi-chain flash sender for USDT/BTC/ETH with on-chain visibility, adjustable TX lifespan, and support for all major token standards",
2498 + "full_name": "ginfuvcnxr/Flash-USDT-Send",
2499 + "language": "Python",
2500 + "source": "new_repos",
2501 + "stars": 56,
2502 + "stars_gained": null,
2503 + "topics": [
2504 + "bitcoin-flash-transactions",
2505 + "electrum-fake-balance",
2506 + "eth-flasher",
2507 + "exodus-fake-balance-tool",
2508 + "fake-balance",
2509 + "fake-balance-crypto",
2510 + "fake-btc-transaction",
2511 + "flash-btc-software-free",
2512 + "flash-crypto-2025",
2513 + "flash-eth-software",
2514 + "flash-free-demo",
2515 + "flash-loan",
2516 + "flash-usdt-binance-2026",
2517 + "flash-usdt-freedemo",
2518 + "flashcrypto",
2519 + "flasher-tool",
2520 + "okx-fake-balance",
2521 + "usdt-flash-coin",
2522 + "wallet-spoofer"
2523 + ],
2524 + "url": "https://github.com/ginfuvcnxr/Flash-USDT-Send"
2525 + },
2526 + {
2527 + "created_at": "2026-06-09T17:25:31Z",
2528 + "description": "一款属于我的数据标注平台",
2529 + "full_name": "709166872-cpu/TagCast-AI",
2530 + "language": "HTML",
2531 + "source": "new_repos",
2532 + "stars": 55,
2533 + "stars_gained": null,
2534 + "topics": [],
2535 + "url": "https://github.com/709166872-cpu/TagCast-AI"
2536 + },
2537 + {
2538 + "created_at": "2026-06-09T09:21:30Z",
2539 + "description": "Next Forcing: World Action Modeling with Multi-Chunk Prediction (MCP)",
2540 + "full_name": "gangweix/next-forcing",
2541 + "language": "JavaScript",
2542 + "source": "new_repos",
2543 + "stars": 55,
2544 + "stars_gained": null,
2545 + "topics": [],
2546 + "url": "https://github.com/gangweix/next-forcing"
2547 + },
2548 + {
2549 + "created_at": "2026-06-11T09:12:25Z",
2550 + "description": "面向拼多多多店铺商家的客服消息自动化系统。基于拼多多商家后台实时收发客服消息,结合关键词规则、AI 智能回复与知识库工具调用,实现 7×24 小时自动应答、转人工、风控与营业时间管控。",
2551 + "full_name": "zhinianboke/pdd-auto-reply",
2552 + "language": "Python",
2553 + "source": "new_repos",
2554 + "stars": 55,
2555 + "stars_gained": null,
2556 + "topics": [],
2557 + "url": "https://github.com/zhinianboke/pdd-auto-reply"
2558 + },
2559 + {
2560 + "created_at": "2026-06-10T04:02:31Z",
2561 + "description": "OpenLoop is a universal loop engineering framework for AI agents, enabling play-test-fix-verify-improve cycles with logs, heartbeats, baselines, guardrails, and auditable stop conditions.",
2562 + "full_name": "thu-nmrc/openloop",
2563 + "language": "Python",
2564 + "source": "new_repos",
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2566 + "stars_gained": null,
2567 + "topics": [],
2568 + "url": "https://github.com/thu-nmrc/openloop"
2569 + },
2570 + {
2571 + "created_at": "2026-06-09T18:15:03Z",
2572 + "description": "Composable Agent Skills (Claude + OpenAI Codex) for taking an idea from fuzzy → validated → sequenced build → shipped — a manual tier (ideate, deep-dive, prompt-pack) and an autonomous tier (autopilot, build-loop).",
2573 + "full_name": "nelsonwerd/idea-to-ship-skills",
2574 + "language": "Shell",
2575 + "source": "new_repos",
2576 + "stars": 55,
2577 + "stars_gained": null,
2578 + "topics": [
2579 + "agent-skills",
2580 + "ai-agents",
2581 + "ai-tools",
2582 + "anthropic",
2583 + "claude",
2584 + "claude-code",
2585 + "codex",
2586 + "developer-tools",
2587 + "ideation",
2588 + "llm",
2589 + "openai-codex",
2590 + "product-development",
2591 + "prompt-engineering"
2592 + ],
2593 + "url": "https://github.com/nelsonwerd/idea-to-ship-skills"
2594 + },
2595 + {
2596 + "created_at": "2026-06-11T17:49:51Z",
2597 + "description": "Bonfire is a Jellyfin plugin that adds profiles on a per user basis to Jellyfin. Built with Gemini Flash. Designed to work with any Jellyfin client that is a web client or a wrapper for a web client. API Documentation is included for custom app developers.",
2598 + "full_name": "AHouseOfBards/Bonfire-JellyProfiles",
2599 + "language": "JavaScript",
2600 + "source": "new_repos",
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2602 + "stars_gained": null,
2603 + "topics": [],
2604 + "url": "https://github.com/AHouseOfBards/Bonfire-JellyProfiles"
2605 + },
2606 + {
2607 + "created_at": "2026-06-12T18:01:06Z",
2608 + "description": "CLI for detecting slop smell",
2609 + "full_name": "sermuns/is-it-slop",
2610 + "language": "Rust",
2611 + "source": "new_repos",
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2613 + "stars_gained": null,
2614 + "topics": [
2615 + "anti-ai-slop",
2616 + "brainmade",
2617 + "rust"
2618 + ],
2619 + "url": "https://github.com/sermuns/is-it-slop"
2620 + },
2621 + {
2622 + "created_at": "2026-06-12T19:50:16Z",
2623 + "description": "WPF utility to manage cmd.exe windows running Claude Code: live console preview, idle detection, silent input injection, and auto-resume when usage limits reset",
2624 + "full_name": "minerd/CmdManager",
2625 + "language": "C#",
2626 + "source": "new_repos",
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2628 + "stars_gained": null,
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2632 + "console",
2633 + "csharp",
2634 + "developer-tools",
2635 + "dotnet",
2636 + "pinvoke",
2637 + "win32",
2638 + "windows",
2639 + "wpf"
2640 + ],
2641 + "url": "https://github.com/minerd/CmdManager"
2642 + },
2643 + {
2644 + "created_at": "2026-06-11T19:55:21Z",
2645 + "description": "Open-source alternative to Claude Co-Work built by Claude Mythos 5. with BYOK",
2646 + "full_name": "coasty-ai/open-cowork",
2647 + "language": "TypeScript",
2648 + "source": "new_repos",
2649 + "stars": 53,
2650 + "stars_gained": null,
2651 + "topics": [
2652 + "anthropic",
2653 + "anthropic-api",
2654 + "anthropic-claude",
2655 + "automation",
2656 + "browser-automation",
2657 + "byok",
2658 + "byok-ai-tools-code-assistant",
2659 + "claude-cowork",
2660 + "claude-cowork-alternative",
2661 + "claude-cowork-free",
2662 + "claude-cowork-windows",
2663 + "computer-use",
2664 + "computer-use-agent",
2665 + "computer-use-agents",
2666 + "computer-use-windows",
2667 + "gemini",
2668 + "llm-agents",
2669 + "openai"
2670 + ],
2671 + "url": "https://github.com/coasty-ai/open-cowork"
2672 + },
2673 + {
2674 + "created_at": "2026-06-11T07:53:01Z",
2675 + "description": "Your AI writes the code. Iris tells it whether the code actually works - with evidence, not screenshots.",
2676 + "full_name": "syrin-labs/iris",
2677 + "language": "TypeScript",
2678 + "source": "new_repos",
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2680 + "stars_gained": null,
2681 + "topics": [
2682 + "agent-testing",
2683 + "ai-testing-tool",
2684 + "automated-testing",
2685 + "testing-tool"
2686 + ],
2687 + "url": "https://github.com/syrin-labs/iris"
2688 + },
2689 + {
2690 + "created_at": "2026-06-11T00:34:06Z",
2691 + "description": "Exodus Fake Balance — Native balance overlay tool for Exodus wallet with real-time spoofing across BTC, ETH, SOL, XRP and 200+ assets, persistent hooks, and screenshot-safe display rendering",
2692 + "full_name": "kaor333/Exodus-Fake-Balance",
2693 + "language": "Python",
2694 + "source": "new_repos",
2695 + "stars": 52,
2696 + "stars_gained": null,
2697 + "topics": [
2698 + "bitcoin-flash-transactions",
2699 + "crpto",
2700 + "crypto-wallet-fake-balance",
2701 + "crypto-wallet-simulator",
2702 + "exodus",
2703 + "exodus-api",
2704 + "exodus-fake-balance-tool",
2705 + "exodus-logger",
2706 + "exodus-standalone",
2707 + "fake-balance",
2708 + "fake-balance-crypto",
2709 + "fake-btc-transaction",
2710 + "fake-crypto",
2711 + "flash-crypto-2025",
2712 + "flash-loan",
2713 + "flash-usdt-freedemo",
2714 + "flasher-tool",
2715 + "okx-fake-balance",
2716 + "usdt-flash-coin",
2717 + "wallet-spoofer"
2718 + ],
2719 + "url": "https://github.com/kaor333/Exodus-Fake-Balance"
2720 + },
2721 + {
2722 + "created_at": "2026-06-12T06:43:18Z",
2723 + "description": "生成手写笔记本风格的单文件 HTML 学习笔记。当用户需要将技术内容、漏洞分析、知识总结等转化为视觉精美的网页笔记时使用。",
2724 + "full_name": "Unclecheng-li/note-skill",
2725 + "language": "HTML",
2726 + "source": "new_repos",
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2728 + "stars_gained": null,
2729 + "topics": [],
2730 + "url": "https://github.com/Unclecheng-li/note-skill"
2731 + },
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2733 + "created_at": "2026-06-11T15:15:29Z",
2734 + "description": "Offline group-safety mesh for hikers: ESP32 + GPS + LoRa, with a firmware-in-the-loop simulator and 3D replay viewer",
2735 + "full_name": "luciobaiocchi/heard",
2736 + "language": "Python",
2737 + "source": "new_repos",
2738 + "stars": 52,
2739 + "stars_gained": null,
2740 + "topics": [
2741 + "digital-twin",
2742 + "embedded",
2743 + "esp32",
2744 + "freertos",
2745 + "gps",
2746 + "gps-tracking",
2747 + "hiking",
2748 + "iot",
2749 + "lora",
2750 + "maplibre",
2751 + "mesh-networks",
2752 + "offline-first",
2753 + "open-source-hardware",
2754 + "platformio",
2755 + "pybind11",
2756 + "safety",
2757 + "search-and-rescue",
2758 + "simulator"
2759 + ],
2760 + "url": "https://github.com/luciobaiocchi/heard"
2761 + },
2762 + {
2763 + "created_at": "2026-06-11T14:31:08Z",
2764 + "description": "Fully local multimodal RAG pipeline — images, PDFs, Office, code. No cloud required.",
2765 + "full_name": "chen150450/local-multimodal-rag",
2766 + "language": "Python",
2767 + "source": "new_repos",
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2770 + "topics": [],
2771 + "url": "https://github.com/chen150450/local-multimodal-rag"
2772 + },
2773 + {
2774 + "created_at": "2026-06-11T13:13:42Z",
2775 + "description": "Diagrams that move — a Claude AI skill that generates animated flowcharts & architecture diagrams as self-contained HTML/SVG. Flowing connectors, requests traveling as light dots.",
2776 + "full_name": "csthink/dashmotion",
2777 + "language": "HTML",
2778 + "source": "new_repos",
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2780 + "stars_gained": null,
2781 + "topics": [
2782 + "animated-svg",
2783 + "anthropic",
2784 + "architecture-diagram",
2785 + "claude-ai",
2786 + "claude-skill",
2787 + "diagram-generator",
2788 + "flowchart",
2789 + "svg-animation",
2790 + "workflow-visualization"
2791 + ],
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2793 + },
2794 + {
2795 + "created_at": "2026-06-13T04:43:34Z",
2796 + "description": "From-scratch C++/CUDA inference engine for Qwen3-8B, with zero external libraries",
2797 + "full_name": "frankkk96/FlashQwen",
2798 + "language": "C++",
2799 + "source": "new_repos",
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2801 + "stars_gained": null,
2802 + "topics": [],
2803 + "url": "https://github.com/frankkk96/FlashQwen"
2804 + },
2805 + {
2806 + "created_at": "2026-06-13T18:29:11Z",
2807 + "description": "🛠️ The meta-harness for AI agents — scaffold your own focused, branded agent harness with its own npx CLI, MCP server, memory, learning loop, and witness-signed releases. Works with Claude Code, Codex, pi.dev, Hermes, OpenClaw, and RVM (hardware-isolated sandbox).",
2808 + "full_name": "ruvnet/agent-harness-generator",
2809 + "language": "TypeScript",
2810 + "source": "new_repos",
2811 + "stars": 51,
2812 + "stars_gained": null,
2813 + "topics": [
2814 + "agent-harness",
2815 + "agent-harness-generator",
2816 + "agent-scaffolding",
2817 + "agentic-ai",
2818 + "agentic-framework",
2819 + "autonomous-agents",
2820 + "claude-code",
2821 + "codex",
2822 + "create-agent-harness",
2823 + "hermes-agent",
2824 + "mcp",
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data/candidates/2026-W25/27547655741/2026-W25-content.md new
+69
@@ -0,0 +1,69 @@
1 +---
2 +title: "YAGNI as a Skill, Fable Behavior on a Budget, and the Attack That Press Ignored"
3 +date: 2026-06-15 12:55:19+00:00
4 +week: "2026-W25"
5 +tags: ["agent-skills", "fable-emulation", "loop-engineering", "supply-chain-security", "multi-model-orchestration", "local-first", "noise-floor"]
6 +categories: ["weekly"]
7 +repos_featured: 404
8 +stars_tracked: 16800000
9 +top_repo: "DietrichGebert/ponytail"
10 +summary: "Week 25 marks the agent skills ecosystem reaching critical mass — ponytail's YAGNI framing breaks 10k stars while a Fable behavior transfer cluster and loop engineering guides show developers rapidly systematizing agentic work; a live AUR supply-chain attack generated 1,000 stars in practitioner response while press focused entirely on policy; and a heavy noise floor of exploit tools, NSFW generators, and activators demands active editorial filtering."
11 +draft: false
12 +---
13 +
14 +## This Week's Trends
15 +
16 +**YAGNI as a distribution-layer principle hits 10k stars.** The week's most significant new entry is [DietrichGebert/ponytail](https://github.com/DietrichGebert/ponytail) at 10,835★ — a Claude Code and Cursor agent skill that enforces YAGNI and minimal code generation, framed as "the best code is the code you never wrote." The star count is not just popularity; it signals that practitioners have an active demand for skills that constrain LLM output rather than expand it. The first wave of agent skills added capabilities (coding standards, design tools, quality gates); ponytail represents a corrective counterwave that treats LLM over-generation as the primary problem to solve. That is a new and specific demand signal that did not appear in W24 or W23.
17 +
18 +**Fable behavior transfer emerges as a named subcategory.** Multiple repos this week share a common goal: approximating Claude Fable 5's planning, delegation, and verification discipline in cheaper or more accessible model tiers. [mrtooher/fable-mode](https://github.com/mrtooher/fable-mode) (366★) activates explicit multi-stage planning and self-verification in Claude; [fivetaku/fablize](https://github.com/fivetaku/fablize) (173★) ports confirmed Fable-vs-Opus behavioral differences as enforced procedural constraints; [duolahypercho/fusion-fable](https://github.com/duolahypercho/fusion-fable) (271★) orchestrates Opus 4.8 as drafter and GPT-5.5 Codex as checker to produce Fable-tier outputs; [itsinseong/value-for-fable](https://github.com/itsinseong/value-for-fable) (187★) targets Opus quality at Sonnet cost; [baskduf/FableCodex](https://github.com/baskduf/FableCodex) (101★) applies the same planning discipline to Codex-style workflows. This cluster is a direct developer response to the week's dominant press story — Anthropic's government-ordered model access suspension — but the response is architectural, not reactive: practitioners are engineering behavioral replication in available models rather than waiting for access to be restored.
19 +
20 +**Loop engineering crystallizes as a named discipline.** [valkor-ai/loom](https://github.com/valkor-ai/loom) (276★) and [cobusgreyling/loop-engineering](https://github.com/cobusgreyling/loop-engineering) (224★) both ship practical loop engineering tooling in the same week; [alchaincyf/loop-engineering-orange-book](https://github.com/alchaincyf/loop-engineering-orange-book) (118★) publishes a bilingual plain-language guide; [serenakeyitan/awesome-agent-loops](https://github.com/serenakeyitan/awesome-agent-loops) (83★) curates real /loop and /goal patterns sourced from Twitter/X. The term "loop engineering" — designing systems that continuously prompt, orchestrate, and reorient agents — is transitioning from informal practitioner shorthand to an acknowledged category with documentation, tooling, and exemplar collections. The W24 prediction that agent skills verticalization would accelerate has landed; the new observation is that the layer above skills — the orchestration loop itself — is now being systematized.
21 +
22 +**Multi-model orchestration becomes infrastructure.** [shadcn/improve](https://github.com/shadcn/improve) (4,626★) launched with a deceptively simple premise: use your most capable model to audit a codebase and generate plans that cheaper models can execute. [omnigent-ai/omnigent](https://github.com/omnigent-ai/omnigent) (1,436★) generalizes further — a meta-harness that abstracts Claude Code, Codex, Pi, and user-written agents behind a common interface with policy enforcement, sandboxing, and real-time session collaboration. Together these repos mark a maturation point: the conversation is shifting from "which agent?" to "how do you orchestrate agents with different capability-cost profiles across a single workflow?"
23 +
24 +**A real supply-chain attack found its practitioner response on GitHub before press.** [lenucksi/aur-malware-check](https://github.com/lenucksi/aur-malware-check) (1,000★) consolidated community detection tools for the June 2026 atomic-lockfile AUR supply-chain attack — a practical, direct response to an active threat that affected Arch Linux users this week. It reached 1,000★ organically as the relevant security community converged on it. Press this week was occupied with Anthropic's access suspension and the SpaceX IPO; the security event that developers actually responded to in code went uncovered.
25 +
26 +## Where Industry Meets Code
27 +
28 +Press this week was dominated by two storylines: Anthropic's government-ordered suspension of its most powerful model access and the SpaceX IPO. Neither has a direct, simple GitHub analog. The Anthropic story's developer response — the Fable emulation cluster, [duolahypercho/fusion-fable](https://github.com/duolahypercho/fusion-fable), [itsinseong/value-for-fable](https://github.com/itsinseong/value-for-fable) — is an architectural workaround, not protest tooling. The SpaceX IPO generated zero corresponding developer activity. The strongest press-to-developer correlations are GitHub's own blog posts: the Copilot CLI delegation selectivity article and the custom-agents workflow guide align precisely with the loop engineering and skills orchestration activity visible in new_repos. When the platform writes documentation about how to build with agents, practitioners ship the tools that make those patterns operational within the same week.
29 +
30 +The divergences are sharper than the correlations. NVIDIA's press output focused on the Blackwell AgentPerf benchmark and UK sovereign AI — enterprise-scale, hardware-dependent narratives targeting infrastructure buyers. Developer activity tells a different story at a different scale: [fguzman82/gateGPT](https://github.com/fguzman82/gateGPT) (271★) implements a full Transformer in Verilog and runs inference on a decade-old Virtex-5 FPGA at ~56k tokens/second. The instinct — dedicated-silicon inference — is identical to NVIDIA's pitch, but the implementation is a solo researcher with existing hardware, no $100M data center required. Most consequentially absent: the AUR supply-chain attack generated 1,000 GitHub stars and community tool consolidation while press was still running policy analysis. Security events requiring hands-on remediation consistently outpace press coverage; the practitioner community on GitHub is, by this measure, a faster-moving signal source than technology journalism for active threats.
31 +
32 +## Signal & Noise
33 +
34 +The durable signal clusters around three patterns. First, agent skills infrastructure is now genuinely multi-dimensional: ponytail's YAGNI framing fills a gap that W24's quality gates and coding standards entries left open (output minimization and constraint), while the Fable behavior transfer cluster fills the gap created by model tier access constraints. These are not copycat repos — they solve distinct, felt problems. Second, the loop engineering entries ([valkor-ai/loom](https://github.com/valkor-ai/loom), [cobusgreyling/loop-engineering](https://github.com/cobusgreyling/loop-engineering), [alchaincyf/fanbox](https://github.com/alchaincyf/fanbox) at 558★) are technically earnest and solve a real coordination problem for practitioners running multi-step agent pipelines. Third, the cross-model orchestration tier — [shadcn/improve](https://github.com/shadcn/improve) and [omnigent-ai/omnigent](https://github.com/omnigent-ai/omnigent) — addresses cost management and behavioral consistency across model tiers; the fork activity and profile of interested users indicate practitioner rather than hype audiences.
35 +
36 +The noise floor this week is diverse and heavy. The most transparent is a coordinated NSFW generator cluster: [kevinberrios2/NS-FW-AI-Adult-Gen](https://github.com/kevinberrios2/NS-FW-AI-Adult-Gen), [most9/NS-FW-AI-Adult-Gen](https://github.com/most9/NS-FW-AI-Adult-Gen), [kenshicage26/GirlChat-AdultCompanion-2026](https://github.com/kenshicage26/GirlChat-AdultCompanion-2026), and [KappaTengu51/Futa-and-Furry-ArtAI-Generator-2026](https://github.com/KappaTengu51/Futa-and-Furry-ArtAI-Generator-2026) — all created within hours of each other on 2026-06-13, all at identical star counts (~74-75★), zero meaningful fork activity. [MSNightmare/RoguePlanet](https://github.com/MSNightmare/RoguePlanet) (1,285★, 530 forks) and [MSNightmare/GreatXML](https://github.com/MSNightmare/GreatXML) (486★, 204 forks) — both framed as exploit disclosures, both from the same account — carry the fork inflation signature from W23 and W24: inflated fork counts, no meaningful topic specificity, account-level coordination patterns. [khrisat/text-humanizer](https://github.com/khrisat/text-humanizer) (587★) explicitly markets itself as making AI-generated text "undetectable by Turnitin, GPTZero, and other AI detection services" — noise by any editorial standard, regardless of stars. KMS activators, Roblox executors, Valorant aimbots, and DPI bypass tools continue the W22–W25 spam playbook.
37 +
38 +## Blind Spots
39 +
40 +Neither press nor developers are engaging with the **trust model for Fable behavior transfer**. Five repos this week claim to replicate Claude Fable 5's planning and verification discipline in other models or cheaper tiers. None provide a verification methodology — no ablation studies, no behavioral benchmarks against actual Fable 5 outputs, no disclosure of failure modes or edge cases where the transfer breaks down. The category is growing faster than its epistemic foundation: practitioners adopting these tools are taking behavioral claims on faith, without the same evidence standard the original Fable behavior was presumably built against.
41 +
42 +Equally absent is any developer response to **agent skills supply-chain integrity**. The AUR attack this week — malicious packages poisoning a community package manager — is structurally isomorphic to a plausible attack on community SKILL.md repositories: a poisoned skill injected into a widely-trusted registry could instruct agents to exfiltrate secrets, introduce backdoors, or modify code in ways that survive casual review. The skills ecosystem has no package signing, no capability manifests, and no behavioral audit tooling. [lenucksi/aur-malware-check](https://github.com/lenucksi/aur-malware-check) exists for AUR; nothing analogous exists for the SKILL.md distribution layer that is now shipping dozens of new community packs per week. The attack surface is growing faster than the defensive tooling.
43 +
44 +## The Week Ahead
45 +
46 +The Fable behavior transfer cluster is early and directional — expect comparative benchmarks and more entries as model access constraints persist and developers begin publishing empirical results. The loop engineering category has not yet produced a dominant framework; the next two weeks will show whether [valkor-ai/loom](https://github.com/valkor-ai/loom) and [cobusgreyling/loop-engineering](https://github.com/cobusgreyling/loop-engineering) converge on shared patterns or fragment into incompatible approaches. [shadcn/improve](https://github.com/shadcn/improve)'s audit-and-delegate model is already the week's most-forked non-trivial entry — watch for domain-specific derivatives applying it to security audits, compliance review, and targeted test generation. The AUR attack should catalyze conversation about skills supply-chain security; whether that produces tooling depends on whether the same practitioners who built detection tools for AUR recognize the structural parallel.
47 +
48 +## Key References
49 +
50 +### Notable Projects
51 +
52 +- [DietrichGebert/ponytail](https://github.com/DietrichGebert/ponytail) — YAGNI-enforcement agent skill for Claude Code, Claude Code plugin, and Cursor; the week's breakout at 10,835★ and the first clear signal that demand exists for skills that constrain LLM output rather than expand it.
53 +- [shadcn/improve](https://github.com/shadcn/improve) — Uses your most capable model to audit a codebase and write execution plans for cheaper models; the most concise statement of multi-model delegation as a cost management strategy, 4,626★ on launch.
54 +- [omnigent-ai/omnigent](https://github.com/omnigent-ai/omnigent) — Meta-harness abstracting Claude Code, Codex, Pi, and custom agents behind a common policy layer with sandboxing and real-time collaboration; the week's most architecturally ambitious multi-agent entry.
55 +- [lenucksi/aur-malware-check](https://github.com/lenucksi/aur-malware-check) — Detection tools for the June 2026 atomic-lockfile AUR supply-chain attack, consolidated from community Gists; a practitioner security response that outpaced all press coverage of the same event.
56 +- [mrtooher/fable-mode](https://github.com/mrtooher/fable-mode) — Claude skill activating Fable-style multi-stage planning, sub-agent delegation, and self-verification; the most clearly scoped entry in the Fable behavior transfer cluster.
57 +- [valkor-ai/loom](https://github.com/valkor-ai/loom) — Loop engineering framework for agentic software delivery; one of two credible loop engineering tooling entries this week and a signal that the discipline is accumulating infrastructure.
58 +- [cobusgreyling/loop-engineering](https://github.com/cobusgreyling/loop-engineering) — Practical patterns, starters, and CLI tools (loop-audit, loop-init, loop-cost) for loop engineering across Claude Code, Codex, and Grok; the most comprehensive loop engineering starter kit this week.
59 +- [plannotator/effective-html](https://github.com/plannotator/effective-html) — Agent skill for elegant HTML plans and architecture diagrams, 866★; one of the week's cleaner utility-skills entries and evidence that skills for non-code output formats are gaining real traction.
60 +- [fguzman82/gateGPT](https://github.com/fguzman82/gateGPT) — Full Transformer implemented in Verilog, running on a Virtex-5 FPGA at ~56k tokens/second; technically credible hardware-crossover work that extends the hobbyist-silicon pattern visible since W23.
61 +- [DanMcInerney/architect-loop](https://github.com/DanMcInerney/architect-loop) — Cross-vendor architect-builder agent loop using Claude Fable 5 for architecture and GPT-5.5 Codex for implementation; a research-backed skills entry that anchors the multi-model coordination pattern this week.
62 +
63 +### Press & Industry
64 +
65 +- [Anthropic's safety warnings may have just backfired — the government has pulled the plug on its most powerful AI](https://techcrunch.com/2026/06/12/anthropics-safety-warnings-may-have-just-backfired-the-government-has-pulled-the-plug-on-its-most-powerful-ai/) — The week's dominant press story; developer response in new_repos was Fable behavior transfer, not protest — practitioners built around access constraints rather than waiting for them to lift.
66 +- [How we made GitHub Copilot CLI more selective about delegation](https://github.blog/ai-and-ml/how-we-made-github-copilot-cli-more-selective-about-delegation/) — GitHub's own framing of agent delegation discipline; the strongest direct press-to-developer correlation of the week, aligning precisely with the loop engineering and orchestration tooling visible in new_repos.
67 +- [NVIDIA Blackwell Leads on First Agentic AI Infrastructure Benchmark](https://blogs.nvidia.com/blog/nvidia-blackwell-agentperf-artificial-analysis/) — Enterprise agentic infrastructure benchmarking; developer activity focused on token arbitrage, model routing, and behavioral transfer — the same instinct at a fraction of the capital and infrastructure requirement.
68 +- [Google DeepMind is worried about what happens when millions of agents start to interact](https://www.technologyreview.com/2026/06/11/1138794/google-deepmind-is-worried-about-what-happens-when-millions-of-agents-start-to-interact/) — Institutional concern about multi-agent dynamics; correlates loosely with the meta-harness and orchestration layer entries in new_repos, though developers are building coordination infrastructure rather than studying emergent behavior.
69 +- [From one-off prompts to workflows: How to use custom agents in GitHub Copilot CLI](https://github.blog/ai-and-ml/github-copilot/from-one-off-prompts-to-workflows-how-to-use-custom-agents-in-github-copilot-cli/) — Platform documentation of the workflows pattern developers are actively building; the most direct editorial alignment between a press item and new_repos activity this week.
data/candidates/2026-W25/27547655741/2026-W25-summary.md new
+91
@@ -0,0 +1,91 @@
1 +---
2 +title: "YAGNI as a Skill, Fable Behavior on a Budget, and the Attack That Press Ignored"
3 +date: 2026-06-15T12:55:19Z
4 +week: "2026-W25"
5 +year: 2026
6 +tags: [agent-skills, fable-emulation, loop-engineering, supply-chain-security, multi-model-orchestration, local-first, noise-floor]
7 +categories: [weekly]
8 +repos_featured: 404
9 +stars_tracked: 16800000
10 +top_repo: "DietrichGebert/ponytail"
11 +quality_score: 76
12 +summary: "Week 25 marks the agent skills ecosystem reaching critical mass — ponytail's YAGNI framing breaks 10k stars while a Fable behavior transfer cluster and loop engineering guides show developers rapidly systematizing agentic work; a live AUR supply-chain attack generated 1,000 stars in practitioner response while press focused entirely on policy; and a heavy noise floor of exploit tools, NSFW generators, and activators demands active editorial filtering."
13 +predictions:
14 + - repo: DietrichGebert/ponytail
15 + claim_type: signal
16 + direction: up
17 + confidence: 0.82
18 + - repo: shadcn/improve
19 + claim_type: signal
20 + direction: up
21 + confidence: 0.78
22 + - repo: valkor-ai/loom
23 + claim_type: signal
24 + direction: up
25 + confidence: 0.72
26 + - repo: lenucksi/aur-malware-check
27 + claim_type: signal
28 + direction: flat
29 + confidence: 0.68
30 + - repo: khrisat/text-humanizer
31 + claim_type: noise
32 + direction: down
33 + confidence: 0.76
34 +---
35 +
36 +## This Week's Trends
37 +
38 +**YAGNI as a distribution-layer principle hits 10k stars.** The week's most significant new entry is [DietrichGebert/ponytail](https://github.com/DietrichGebert/ponytail) at 10,835★ — a Claude Code and Cursor agent skill that enforces YAGNI and minimal code generation, framed as "the best code is the code you never wrote." The star count is not just popularity; it signals that practitioners have an active demand for skills that constrain LLM output rather than expand it. The first wave of agent skills added capabilities (coding standards, design tools, quality gates); ponytail represents a corrective counterwave that treats LLM over-generation as the primary problem to solve. That is a new and specific demand signal that did not appear in W24 or W23.
39 +
40 +**Fable behavior transfer emerges as a named subcategory.** Multiple repos this week share a common goal: approximating Claude Fable 5's planning, delegation, and verification discipline in cheaper or more accessible model tiers. [mrtooher/fable-mode](https://github.com/mrtooher/fable-mode) (366★) activates explicit multi-stage planning and self-verification in Claude; [fivetaku/fablize](https://github.com/fivetaku/fablize) (173★) ports confirmed Fable-vs-Opus behavioral differences as enforced procedural constraints; [duolahypercho/fusion-fable](https://github.com/duolahypercho/fusion-fable) (271★) orchestrates Opus 4.8 as drafter and GPT-5.5 Codex as checker to produce Fable-tier outputs; [itsinseong/value-for-fable](https://github.com/itsinseong/value-for-fable) (187★) targets Opus quality at Sonnet cost; [baskduf/FableCodex](https://github.com/baskduf/FableCodex) (101★) applies the same planning discipline to Codex-style workflows. This cluster is a direct developer response to the week's dominant press story — Anthropic's government-ordered model access suspension — but the response is architectural, not reactive: practitioners are engineering behavioral replication in available models rather than waiting for access to be restored.
41 +
42 +**Loop engineering crystallizes as a named discipline.** [valkor-ai/loom](https://github.com/valkor-ai/loom) (276★) and [cobusgreyling/loop-engineering](https://github.com/cobusgreyling/loop-engineering) (224★) both ship practical loop engineering tooling in the same week; [alchaincyf/loop-engineering-orange-book](https://github.com/alchaincyf/loop-engineering-orange-book) (118★) publishes a bilingual plain-language guide; [serenakeyitan/awesome-agent-loops](https://github.com/serenakeyitan/awesome-agent-loops) (83★) curates real /loop and /goal patterns sourced from Twitter/X. The term "loop engineering" — designing systems that continuously prompt, orchestrate, and reorient agents — is transitioning from informal practitioner shorthand to an acknowledged category with documentation, tooling, and exemplar collections. The W24 prediction that agent skills verticalization would accelerate has landed; the new observation is that the layer above skills — the orchestration loop itself — is now being systematized.
43 +
44 +**Multi-model orchestration becomes infrastructure.** [shadcn/improve](https://github.com/shadcn/improve) (4,626★) launched with a deceptively simple premise: use your most capable model to audit a codebase and generate plans that cheaper models can execute. [omnigent-ai/omnigent](https://github.com/omnigent-ai/omnigent) (1,436★) generalizes further — a meta-harness that abstracts Claude Code, Codex, Pi, and user-written agents behind a common interface with policy enforcement, sandboxing, and real-time session collaboration. Together these repos mark a maturation point: the conversation is shifting from "which agent?" to "how do you orchestrate agents with different capability-cost profiles across a single workflow?"
45 +
46 +**A real supply-chain attack found its practitioner response on GitHub before press.** [lenucksi/aur-malware-check](https://github.com/lenucksi/aur-malware-check) (1,000★) consolidated community detection tools for the June 2026 atomic-lockfile AUR supply-chain attack — a practical, direct response to an active threat that affected Arch Linux users this week. It reached 1,000★ organically as the relevant security community converged on it. Press this week was occupied with Anthropic's access suspension and the SpaceX IPO; the security event that developers actually responded to in code went uncovered.
47 +
48 +## Where Industry Meets Code
49 +
50 +Press this week was dominated by two storylines: Anthropic's government-ordered suspension of its most powerful model access and the SpaceX IPO. Neither has a direct, simple GitHub analog. The Anthropic story's developer response — the Fable emulation cluster, [duolahypercho/fusion-fable](https://github.com/duolahypercho/fusion-fable), [itsinseong/value-for-fable](https://github.com/itsinseong/value-for-fable) — is an architectural workaround, not protest tooling. The SpaceX IPO generated zero corresponding developer activity. The strongest press-to-developer correlations are GitHub's own blog posts: the Copilot CLI delegation selectivity article and the custom-agents workflow guide align precisely with the loop engineering and skills orchestration activity visible in new_repos. When the platform writes documentation about how to build with agents, practitioners ship the tools that make those patterns operational within the same week.
51 +
52 +The divergences are sharper than the correlations. NVIDIA's press output focused on the Blackwell AgentPerf benchmark and UK sovereign AI — enterprise-scale, hardware-dependent narratives targeting infrastructure buyers. Developer activity tells a different story at a different scale: [fguzman82/gateGPT](https://github.com/fguzman82/gateGPT) (271★) implements a full Transformer in Verilog and runs inference on a decade-old Virtex-5 FPGA at ~56k tokens/second. The instinct — dedicated-silicon inference — is identical to NVIDIA's pitch, but the implementation is a solo researcher with existing hardware, no $100M data center required. Most consequentially absent: the AUR supply-chain attack generated 1,000 GitHub stars and community tool consolidation while press was still running policy analysis. Security events requiring hands-on remediation consistently outpace press coverage; the practitioner community on GitHub is, by this measure, a faster-moving signal source than technology journalism for active threats.
53 +
54 +## Signal & Noise
55 +
56 +The durable signal clusters around three patterns. First, agent skills infrastructure is now genuinely multi-dimensional: ponytail's YAGNI framing fills a gap that W24's quality gates and coding standards entries left open (output minimization and constraint), while the Fable behavior transfer cluster fills the gap created by model tier access constraints. These are not copycat repos — they solve distinct, felt problems. Second, the loop engineering entries ([valkor-ai/loom](https://github.com/valkor-ai/loom), [cobusgreyling/loop-engineering](https://github.com/cobusgreyling/loop-engineering), [alchaincyf/fanbox](https://github.com/alchaincyf/fanbox) at 558★) are technically earnest and solve a real coordination problem for practitioners running multi-step agent pipelines. Third, the cross-model orchestration tier — [shadcn/improve](https://github.com/shadcn/improve) and [omnigent-ai/omnigent](https://github.com/omnigent-ai/omnigent) — addresses cost management and behavioral consistency across model tiers; the fork activity and profile of interested users indicate practitioner rather than hype audiences.
57 +
58 +The noise floor this week is diverse and heavy. The most transparent is a coordinated NSFW generator cluster: [kevinberrios2/NS-FW-AI-Adult-Gen](https://github.com/kevinberrios2/NS-FW-AI-Adult-Gen), [most9/NS-FW-AI-Adult-Gen](https://github.com/most9/NS-FW-AI-Adult-Gen), [kenshicage26/GirlChat-AdultCompanion-2026](https://github.com/kenshicage26/GirlChat-AdultCompanion-2026), and [KappaTengu51/Futa-and-Furry-ArtAI-Generator-2026](https://github.com/KappaTengu51/Futa-and-Furry-ArtAI-Generator-2026) — all created within hours of each other on 2026-06-13, all at identical star counts (~74-75★), zero meaningful fork activity. [MSNightmare/RoguePlanet](https://github.com/MSNightmare/RoguePlanet) (1,285★, 530 forks) and [MSNightmare/GreatXML](https://github.com/MSNightmare/GreatXML) (486★, 204 forks) — both framed as exploit disclosures, both from the same account — carry the fork inflation signature from W23 and W24: inflated fork counts, no meaningful topic specificity, account-level coordination patterns. [khrisat/text-humanizer](https://github.com/khrisat/text-humanizer) (587★) explicitly markets itself as making AI-generated text "undetectable by Turnitin, GPTZero, and other AI detection services" — noise by any editorial standard, regardless of stars. KMS activators, Roblox executors, Valorant aimbots, and DPI bypass tools continue the W22–W25 spam playbook.
59 +
60 +## Blind Spots
61 +
62 +Neither press nor developers are engaging with the **trust model for Fable behavior transfer**. Five repos this week claim to replicate Claude Fable 5's planning and verification discipline in other models or cheaper tiers. None provide a verification methodology — no ablation studies, no behavioral benchmarks against actual Fable 5 outputs, no disclosure of failure modes or edge cases where the transfer breaks down. The category is growing faster than its epistemic foundation: practitioners adopting these tools are taking behavioral claims on faith, without the same evidence standard the original Fable behavior was presumably built against.
63 +
64 +Equally absent is any developer response to **agent skills supply-chain integrity**. The AUR attack this week — malicious packages poisoning a community package manager — is structurally isomorphic to a plausible attack on community SKILL.md repositories: a poisoned skill injected into a widely-trusted registry could instruct agents to exfiltrate secrets, introduce backdoors, or modify code in ways that survive casual review. The skills ecosystem has no package signing, no capability manifests, and no behavioral audit tooling. [lenucksi/aur-malware-check](https://github.com/lenucksi/aur-malware-check) exists for AUR; nothing analogous exists for the SKILL.md distribution layer that is now shipping dozens of new community packs per week. The attack surface is growing faster than the defensive tooling.
65 +
66 +## The Week Ahead
67 +
68 +The Fable behavior transfer cluster is early and directional — expect comparative benchmarks and more entries as model access constraints persist and developers begin publishing empirical results. The loop engineering category has not yet produced a dominant framework; the next two weeks will show whether [valkor-ai/loom](https://github.com/valkor-ai/loom) and [cobusgreyling/loop-engineering](https://github.com/cobusgreyling/loop-engineering) converge on shared patterns or fragment into incompatible approaches. [shadcn/improve](https://github.com/shadcn/improve)'s audit-and-delegate model is already the week's most-forked non-trivial entry — watch for domain-specific derivatives applying it to security audits, compliance review, and targeted test generation. The AUR attack should catalyze conversation about skills supply-chain security; whether that produces tooling depends on whether the same practitioners who built detection tools for AUR recognize the structural parallel.
69 +
70 +## Key References
71 +
72 +### Notable Projects
73 +
74 +- [DietrichGebert/ponytail](https://github.com/DietrichGebert/ponytail) — YAGNI-enforcement agent skill for Claude Code, Claude Code plugin, and Cursor; the week's breakout at 10,835★ and the first clear signal that demand exists for skills that constrain LLM output rather than expand it.
75 +- [shadcn/improve](https://github.com/shadcn/improve) — Uses your most capable model to audit a codebase and write execution plans for cheaper models; the most concise statement of multi-model delegation as a cost management strategy, 4,626★ on launch.
76 +- [omnigent-ai/omnigent](https://github.com/omnigent-ai/omnigent) — Meta-harness abstracting Claude Code, Codex, Pi, and custom agents behind a common policy layer with sandboxing and real-time collaboration; the week's most architecturally ambitious multi-agent entry.
77 +- [lenucksi/aur-malware-check](https://github.com/lenucksi/aur-malware-check) — Detection tools for the June 2026 atomic-lockfile AUR supply-chain attack, consolidated from community Gists; a practitioner security response that outpaced all press coverage of the same event.
78 +- [mrtooher/fable-mode](https://github.com/mrtooher/fable-mode) — Claude skill activating Fable-style multi-stage planning, sub-agent delegation, and self-verification; the most clearly scoped entry in the Fable behavior transfer cluster.
79 +- [valkor-ai/loom](https://github.com/valkor-ai/loom) — Loop engineering framework for agentic software delivery; one of two credible loop engineering tooling entries this week and a signal that the discipline is accumulating infrastructure.
80 +- [cobusgreyling/loop-engineering](https://github.com/cobusgreyling/loop-engineering) — Practical patterns, starters, and CLI tools (loop-audit, loop-init, loop-cost) for loop engineering across Claude Code, Codex, and Grok; the most comprehensive loop engineering starter kit this week.
81 +- [plannotator/effective-html](https://github.com/plannotator/effective-html) — Agent skill for elegant HTML plans and architecture diagrams, 866★; one of the week's cleaner utility-skills entries and evidence that skills for non-code output formats are gaining real traction.
82 +- [fguzman82/gateGPT](https://github.com/fguzman82/gateGPT) — Full Transformer implemented in Verilog, running on a Virtex-5 FPGA at ~56k tokens/second; technically credible hardware-crossover work that extends the hobbyist-silicon pattern visible since W23.
83 +- [DanMcInerney/architect-loop](https://github.com/DanMcInerney/architect-loop) — Cross-vendor architect-builder agent loop using Claude Fable 5 for architecture and GPT-5.5 Codex for implementation; a research-backed skills entry that anchors the multi-model coordination pattern this week.
84 +
85 +### Press & Industry
86 +
87 +- [Anthropic's safety warnings may have just backfired — the government has pulled the plug on its most powerful AI](https://techcrunch.com/2026/06/12/anthropics-safety-warnings-may-have-just-backfired-the-government-has-pulled-the-plug-on-its-most-powerful-ai/) — The week's dominant press story; developer response in new_repos was Fable behavior transfer, not protest — practitioners built around access constraints rather than waiting for them to lift.
88 +- [How we made GitHub Copilot CLI more selective about delegation](https://github.blog/ai-and-ml/how-we-made-github-copilot-cli-more-selective-about-delegation/) — GitHub's own framing of agent delegation discipline; the strongest direct press-to-developer correlation of the week, aligning precisely with the loop engineering and orchestration tooling visible in new_repos.
89 +- [NVIDIA Blackwell Leads on First Agentic AI Infrastructure Benchmark](https://blogs.nvidia.com/blog/nvidia-blackwell-agentperf-artificial-analysis/) — Enterprise agentic infrastructure benchmarking; developer activity focused on token arbitrage, model routing, and behavioral transfer — the same instinct at a fraction of the capital and infrastructure requirement.
90 +- [Google DeepMind is worried about what happens when millions of agents start to interact](https://www.technologyreview.com/2026/06/11/1138794/google-deepmind-is-worried-about-what-happens-when-millions-of-agents-start-to-interact/) — Institutional concern about multi-agent dynamics; correlates loosely with the meta-harness and orchestration layer entries in new_repos, though developers are building coordination infrastructure rather than studying emergent behavior.
91 +- [From one-off prompts to workflows: How to use custom agents in GitHub Copilot CLI](https://github.blog/ai-and-ml/github-copilot/from-one-off-prompts-to-workflows-how-to-use-custom-agents-in-github-copilot-cli/) — Platform documentation of the workflows pattern developers are actively building; the most direct editorial alignment between a press item and new_repos activity this week.
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190 + "description": "Shadow any website for offline viewing, with the JavaScript stripped out",
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201 + "description": "Detection tools for the June 2026 atomic-lockfile AUR supply-chain attack. Consolidated from community Gists.",
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203 + "language": "Shell",
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212 + "description": "Agent skill for elegant and simple html plans, architecture diagrams, or whatever else you can think of.",
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237 + "description": "Dependency-free text roll animation for vanilla JS, React, and Vue.",
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239 + "language": "TypeScript",
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243 + "topics": [],
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328 + "created_at": "2026-06-11T01:03:12Z",
329 + "description": "GreatXML bitlocker bypass vulnerability",
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332 + "source": "new_repos",
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335 + "topics": [],
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351 + "description": "Claude Fable 5 as architect, GPT-5.5 Codex as builder, the repo as memory - a research-backed Claude Code skill for the cross-vendor agent loop",
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389 + "description": "A Claude skill that activates Fable-style agentic behavior: explicit multi-stage planning, sub-agent delegation, and self-verification.",
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429 + "skydoves"
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434 + "created_at": "2026-06-14T04:12:26Z",
435 + "description": "ER diagram generator. Paste CREATE TABLE statements and get a clean, interactive ERD \u2014 runs 100% in your browser, nothing uploaded",
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data/candidates/2026-W25/27547655741/diagnostics/analysis-preflight.md new
+24
@@ -0,0 +1,24 @@
1 +# Analysis Prompt Preflight
2 +
3 +- Prompt budget: `90000` tokens
4 +- Rendered prompt: `82182` tokens / `328728` bytes
5 +- Prompt checksum: `781d0a1a3da7d05ef374ad81b6d79150e7f1c7a83f21fdf4b1e860446377b1e3`
6 +- Degraded/compacted: `false`
7 +- Degradation reason: none
8 +- Publish eligible: `true`
9 +- Promotion policy: normal-promotion
10 +- Fallback policy: copilot-only; no GitHub Models/OpenAI fallback. no-ai is diagnostic/staged-only and publish-ineligible. degraded/compacted prompts are staged/candidate-only by default.
11 +- Deterministic slices: new_repos, trending_repos, press_correlations, prior_continuity
12 +
13 +| Component | Included | Bytes | Tokens | Checksum | Path | Inclusion reason | Compaction decision |
14 +| --- | --- | ---: | ---: | --- | --- | --- | --- |
15 +| prompt_template | true | 13286 | 3322 | 3fc6f8ff142c49483bed0267a052023bda519e1028eb39ee958a8dd2dbe4a54d | /home/runner/work/SquadScope/SquadScope/prompts/analyze-weekly.md | Base weekly analysis instructions. | included |
16 +| new_repos | true | 98629 | 24658 | 1dcdf1cbdbf97c554e40f2422cdd7ff79208d7d11fdf48c1ec3002ce87d7bac5 | data/raw/2026-W25.json | Deterministic mapper slice: newly discovered repositories. | included |
17 +| trending_repos | true | 139665 | 34917 | 6f7b15cd2a26a97c555a69d5f2c1e18bb4bad8db9fdcd19a7da3f8a0758b9999 | data/raw/2026-W25.json | Deterministic mapper slice: continuing/trending repositories. | included |
18 +| raw_metadata | true | 258492 | 64623 | 8236cca373d6eb0add9493505cbc0052b91380929c010997a94aabce077ca4c2 | data/raw/2026-W25.json | Sanitized current weekly payload for 2026-W25. | included |
19 +| prior_continuity | true | 17121 | 4281 | 31b7620b46aca36329ff252464ff13e57747b4bf106dbcdf66251284374ea50c | /home/runner/work/SquadScope/SquadScope/data/analyzed/2026-W24-summary.md | Deterministic mapper slice: prior weekly continuity. | included |
20 +| historical_context | true | 5993 | 1499 | cc04e17694ea12cbb73f9c676d5701e235ded758cf1f6d49fa5d30436f854977 | /home/runner/work/SquadScope/SquadScope/content | Bounded historical context synthesized from rolling, previous-week, monthly, and yearly reports. | included |
21 +| analysis_wisdom | true | 761 | 191 | 74d75f0911f06c43a867a9b9578489ddd998dc2b707784055702e3e7c2463fdb | /home/runner/work/SquadScope/SquadScope/.squad/topics/ai-ml/wisdom.md | Analysis-specific wisdom capsule from topic learning state. | included |
22 +| analysis_skills | false | 44 | 11 | 7da9d889bcbfdd287dc298e0e6f2cd50a87741e062793c8fefb591167b73df39 | /home/runner/work/SquadScope/SquadScope/.squad/topics/ai-ml/skills | Analysis-specific learned skill capsule from topic learning state. | not included: no analysis-specific skills |
23 +| press_correlations | true | 32931 | 8233 | 878334bf61a222d5fc109f0ed95fdb98703ff0a4fe3ef0a6abddab3dea931148 | data/analyzed/2026-W25-press-context.md | Deterministic mapper slice: press/developer correlation context. | included |
24 +| rendered_prompt | true | 328728 | 82182 | 781d0a1a3da7d05ef374ad81b6d79150e7f1c7a83f21fdf4b1e860446377b1e3 | | Exact prompt that will be passed to Copilot CLI. | included |
data/candidates/2026-W25/27547655741/diagnostics/candidate-copilot-cli-attempt-1.md new
+91
@@ -0,0 +1,91 @@
1 +---
2 +title: "YAGNI as a Skill, Fable Behavior on a Budget, and the Attack That Press Ignored"
3 +date: 2026-06-15T12:55:19Z
4 +week: "2026-W25"
5 +year: 2026
6 +tags: [agent-skills, fable-emulation, loop-engineering, supply-chain-security, multi-model-orchestration, local-first, noise-floor]
7 +categories: [weekly]
8 +repos_featured: 404
9 +stars_tracked: 16800000
10 +top_repo: "DietrichGebert/ponytail"
11 +quality_score: 76
12 +summary: "Week 25 marks the agent skills ecosystem reaching critical mass — ponytail's YAGNI framing breaks 10k stars while a Fable behavior transfer cluster and loop engineering guides show developers rapidly systematizing agentic work; a live AUR supply-chain attack generated 1,000 stars in practitioner response while press focused entirely on policy; and a heavy noise floor of exploit tools, NSFW generators, and activators demands active editorial filtering."
13 +predictions:
14 + - repo: DietrichGebert/ponytail
15 + claim_type: signal
16 + direction: up
17 + confidence: 0.82
18 + - repo: shadcn/improve
19 + claim_type: signal
20 + direction: up
21 + confidence: 0.78
22 + - repo: valkor-ai/loom
23 + claim_type: signal
24 + direction: up
25 + confidence: 0.72
26 + - repo: lenucksi/aur-malware-check
27 + claim_type: signal
28 + direction: flat
29 + confidence: 0.68
30 + - repo: khrisat/text-humanizer
31 + claim_type: noise
32 + direction: down
33 + confidence: 0.76
34 +---
35 +
36 +## This Week's Trends
37 +
38 +**YAGNI as a distribution-layer principle hits 10k stars.** The week's most significant new entry is [DietrichGebert/ponytail](https://github.com/DietrichGebert/ponytail) at 10,835★ — a Claude Code and Cursor agent skill that enforces YAGNI and minimal code generation, framed as "the best code is the code you never wrote." The star count is not just popularity; it signals that practitioners have an active demand for skills that constrain LLM output rather than expand it. The first wave of agent skills added capabilities (coding standards, design tools, quality gates); ponytail represents a corrective counterwave that treats LLM over-generation as the primary problem to solve. That is a new and specific demand signal that did not appear in W24 or W23.
39 +
40 +**Fable behavior transfer emerges as a named subcategory.** Multiple repos this week share a common goal: approximating Claude Fable 5's planning, delegation, and verification discipline in cheaper or more accessible model tiers. [mrtooher/fable-mode](https://github.com/mrtooher/fable-mode) (366★) activates explicit multi-stage planning and self-verification in Claude; [fivetaku/fablize](https://github.com/fivetaku/fablize) (173★) ports confirmed Fable-vs-Opus behavioral differences as enforced procedural constraints; [duolahypercho/fusion-fable](https://github.com/duolahypercho/fusion-fable) (271★) orchestrates Opus 4.8 as drafter and GPT-5.5 Codex as checker to produce Fable-tier outputs; [itsinseong/value-for-fable](https://github.com/itsinseong/value-for-fable) (187★) targets Opus quality at Sonnet cost; [baskduf/FableCodex](https://github.com/baskduf/FableCodex) (101★) applies the same planning discipline to Codex-style workflows. This cluster is a direct developer response to the week's dominant press story — Anthropic's government-ordered model access suspension — but the response is architectural, not reactive: practitioners are engineering behavioral replication in available models rather than waiting for access to be restored.
41 +
42 +**Loop engineering crystallizes as a named discipline.** [valkor-ai/loom](https://github.com/valkor-ai/loom) (276★) and [cobusgreyling/loop-engineering](https://github.com/cobusgreyling/loop-engineering) (224★) both ship practical loop engineering tooling in the same week; [alchaincyf/loop-engineering-orange-book](https://github.com/alchaincyf/loop-engineering-orange-book) (118★) publishes a bilingual plain-language guide; [serenakeyitan/awesome-agent-loops](https://github.com/serenakeyitan/awesome-agent-loops) (83★) curates real /loop and /goal patterns sourced from Twitter/X. The term "loop engineering" — designing systems that continuously prompt, orchestrate, and reorient agents — is transitioning from informal practitioner shorthand to an acknowledged category with documentation, tooling, and exemplar collections. The W24 prediction that agent skills verticalization would accelerate has landed; the new observation is that the layer above skills — the orchestration loop itself — is now being systematized.
43 +
44 +**Multi-model orchestration becomes infrastructure.** [shadcn/improve](https://github.com/shadcn/improve) (4,626★) launched with a deceptively simple premise: use your most capable model to audit a codebase and generate plans that cheaper models can execute. [omnigent-ai/omnigent](https://github.com/omnigent-ai/omnigent) (1,436★) generalizes further — a meta-harness that abstracts Claude Code, Codex, Pi, and user-written agents behind a common interface with policy enforcement, sandboxing, and real-time session collaboration. Together these repos mark a maturation point: the conversation is shifting from "which agent?" to "how do you orchestrate agents with different capability-cost profiles across a single workflow?"
45 +
46 +**A real supply-chain attack found its practitioner response on GitHub before press.** [lenucksi/aur-malware-check](https://github.com/lenucksi/aur-malware-check) (1,000★) consolidated community detection tools for the June 2026 atomic-lockfile AUR supply-chain attack — a practical, direct response to an active threat that affected Arch Linux users this week. It reached 1,000★ organically as the relevant security community converged on it. Press this week was occupied with Anthropic's access suspension and the SpaceX IPO; the security event that developers actually responded to in code went uncovered.
47 +
48 +## Where Industry Meets Code
49 +
50 +Press this week was dominated by two storylines: Anthropic's government-ordered suspension of its most powerful model access and the SpaceX IPO. Neither has a direct, simple GitHub analog. The Anthropic story's developer response — the Fable emulation cluster, [duolahypercho/fusion-fable](https://github.com/duolahypercho/fusion-fable), [itsinseong/value-for-fable](https://github.com/itsinseong/value-for-fable) — is an architectural workaround, not protest tooling. The SpaceX IPO generated zero corresponding developer activity. The strongest press-to-developer correlations are GitHub's own blog posts: the Copilot CLI delegation selectivity article and the custom-agents workflow guide align precisely with the loop engineering and skills orchestration activity visible in new_repos. When the platform writes documentation about how to build with agents, practitioners ship the tools that make those patterns operational within the same week.
51 +
52 +The divergences are sharper than the correlations. NVIDIA's press output focused on the Blackwell AgentPerf benchmark and UK sovereign AI — enterprise-scale, hardware-dependent narratives targeting infrastructure buyers. Developer activity tells a different story at a different scale: [fguzman82/gateGPT](https://github.com/fguzman82/gateGPT) (271★) implements a full Transformer in Verilog and runs inference on a decade-old Virtex-5 FPGA at ~56k tokens/second. The instinct — dedicated-silicon inference — is identical to NVIDIA's pitch, but the implementation is a solo researcher with existing hardware, no $100M data center required. Most consequentially absent: the AUR supply-chain attack generated 1,000 GitHub stars and community tool consolidation while press was still running policy analysis. Security events requiring hands-on remediation consistently outpace press coverage; the practitioner community on GitHub is, by this measure, a faster-moving signal source than technology journalism for active threats.
53 +
54 +## Signal & Noise
55 +
56 +The durable signal clusters around three patterns. First, agent skills infrastructure is now genuinely multi-dimensional: ponytail's YAGNI framing fills a gap that W24's quality gates and coding standards entries left open (output minimization and constraint), while the Fable behavior transfer cluster fills the gap created by model tier access constraints. These are not copycat repos — they solve distinct, felt problems. Second, the loop engineering entries ([valkor-ai/loom](https://github.com/valkor-ai/loom), [cobusgreyling/loop-engineering](https://github.com/cobusgreyling/loop-engineering), [alchaincyf/fanbox](https://github.com/alchaincyf/fanbox) at 558★) are technically earnest and solve a real coordination problem for practitioners running multi-step agent pipelines. Third, the cross-model orchestration tier — [shadcn/improve](https://github.com/shadcn/improve) and [omnigent-ai/omnigent](https://github.com/omnigent-ai/omnigent) — addresses cost management and behavioral consistency across model tiers; the fork activity and profile of interested users indicate practitioner rather than hype audiences.
57 +
58 +The noise floor this week is diverse and heavy. The most transparent is a coordinated NSFW generator cluster: [kevinberrios2/NS-FW-AI-Adult-Gen](https://github.com/kevinberrios2/NS-FW-AI-Adult-Gen), [most9/NS-FW-AI-Adult-Gen](https://github.com/most9/NS-FW-AI-Adult-Gen), [kenshicage26/GirlChat-AdultCompanion-2026](https://github.com/kenshicage26/GirlChat-AdultCompanion-2026), and [KappaTengu51/Futa-and-Furry-ArtAI-Generator-2026](https://github.com/KappaTengu51/Futa-and-Furry-ArtAI-Generator-2026) — all created within hours of each other on 2026-06-13, all at identical star counts (~74-75★), zero meaningful fork activity. [MSNightmare/RoguePlanet](https://github.com/MSNightmare/RoguePlanet) (1,285★, 530 forks) and [MSNightmare/GreatXML](https://github.com/MSNightmare/GreatXML) (486★, 204 forks) — both framed as exploit disclosures, both from the same account — carry the fork inflation signature from W23 and W24: inflated fork counts, no meaningful topic specificity, account-level coordination patterns. [khrisat/text-humanizer](https://github.com/khrisat/text-humanizer) (587★) explicitly markets itself as making AI-generated text "undetectable by Turnitin, GPTZero, and other AI detection services" — noise by any editorial standard, regardless of stars. KMS activators, Roblox executors, Valorant aimbots, and DPI bypass tools continue the W22–W25 spam playbook.
59 +
60 +## Blind Spots
61 +
62 +Neither press nor developers are engaging with the **trust model for Fable behavior transfer**. Five repos this week claim to replicate Claude Fable 5's planning and verification discipline in other models or cheaper tiers. None provide a verification methodology — no ablation studies, no behavioral benchmarks against actual Fable 5 outputs, no disclosure of failure modes or edge cases where the transfer breaks down. The category is growing faster than its epistemic foundation: practitioners adopting these tools are taking behavioral claims on faith, without the same evidence standard the original Fable behavior was presumably built against.
63 +
64 +Equally absent is any developer response to **agent skills supply-chain integrity**. The AUR attack this week — malicious packages poisoning a community package manager — is structurally isomorphic to a plausible attack on community SKILL.md repositories: a poisoned skill injected into a widely-trusted registry could instruct agents to exfiltrate secrets, introduce backdoors, or modify code in ways that survive casual review. The skills ecosystem has no package signing, no capability manifests, and no behavioral audit tooling. [lenucksi/aur-malware-check](https://github.com/lenucksi/aur-malware-check) exists for AUR; nothing analogous exists for the SKILL.md distribution layer that is now shipping dozens of new community packs per week. The attack surface is growing faster than the defensive tooling.
65 +
66 +## The Week Ahead
67 +
68 +The Fable behavior transfer cluster is early and directional — expect comparative benchmarks and more entries as model access constraints persist and developers begin publishing empirical results. The loop engineering category has not yet produced a dominant framework; the next two weeks will show whether [valkor-ai/loom](https://github.com/valkor-ai/loom) and [cobusgreyling/loop-engineering](https://github.com/cobusgreyling/loop-engineering) converge on shared patterns or fragment into incompatible approaches. [shadcn/improve](https://github.com/shadcn/improve)'s audit-and-delegate model is already the week's most-forked non-trivial entry — watch for domain-specific derivatives applying it to security audits, compliance review, and targeted test generation. The AUR attack should catalyze conversation about skills supply-chain security; whether that produces tooling depends on whether the same practitioners who built detection tools for AUR recognize the structural parallel.
69 +
70 +## Key References
71 +
72 +### Notable Projects
73 +
74 +- [DietrichGebert/ponytail](https://github.com/DietrichGebert/ponytail) — YAGNI-enforcement agent skill for Claude Code, Claude Code plugin, and Cursor; the week's breakout at 10,835★ and the first clear signal that demand exists for skills that constrain LLM output rather than expand it.
75 +- [shadcn/improve](https://github.com/shadcn/improve) — Uses your most capable model to audit a codebase and write execution plans for cheaper models; the most concise statement of multi-model delegation as a cost management strategy, 4,626★ on launch.
76 +- [omnigent-ai/omnigent](https://github.com/omnigent-ai/omnigent) — Meta-harness abstracting Claude Code, Codex, Pi, and custom agents behind a common policy layer with sandboxing and real-time collaboration; the week's most architecturally ambitious multi-agent entry.
77 +- [lenucksi/aur-malware-check](https://github.com/lenucksi/aur-malware-check) — Detection tools for the June 2026 atomic-lockfile AUR supply-chain attack, consolidated from community Gists; a practitioner security response that outpaced all press coverage of the same event.
78 +- [mrtooher/fable-mode](https://github.com/mrtooher/fable-mode) — Claude skill activating Fable-style multi-stage planning, sub-agent delegation, and self-verification; the most clearly scoped entry in the Fable behavior transfer cluster.
79 +- [valkor-ai/loom](https://github.com/valkor-ai/loom) — Loop engineering framework for agentic software delivery; one of two credible loop engineering tooling entries this week and a signal that the discipline is accumulating infrastructure.
80 +- [cobusgreyling/loop-engineering](https://github.com/cobusgreyling/loop-engineering) — Practical patterns, starters, and CLI tools (loop-audit, loop-init, loop-cost) for loop engineering across Claude Code, Codex, and Grok; the most comprehensive loop engineering starter kit this week.
81 +- [plannotator/effective-html](https://github.com/plannotator/effective-html) — Agent skill for elegant HTML plans and architecture diagrams, 866★; one of the week's cleaner utility-skills entries and evidence that skills for non-code output formats are gaining real traction.
82 +- [fguzman82/gateGPT](https://github.com/fguzman82/gateGPT) — Full Transformer implemented in Verilog, running on a Virtex-5 FPGA at ~56k tokens/second; technically credible hardware-crossover work that extends the hobbyist-silicon pattern visible since W23.
83 +- [DanMcInerney/architect-loop](https://github.com/DanMcInerney/architect-loop) — Cross-vendor architect-builder agent loop using Claude Fable 5 for architecture and GPT-5.5 Codex for implementation; a research-backed skills entry that anchors the multi-model coordination pattern this week.
84 +
85 +### Press & Industry
86 +
87 +- [Anthropic's safety warnings may have just backfired — the government has pulled the plug on its most powerful AI](https://techcrunch.com/2026/06/12/anthropics-safety-warnings-may-have-just-backfired-the-government-has-pulled-the-plug-on-its-most-powerful-ai/) — The week's dominant press story; developer response in new_repos was Fable behavior transfer, not protest — practitioners built around access constraints rather than waiting for them to lift.
88 +- [How we made GitHub Copilot CLI more selective about delegation](https://github.blog/ai-and-ml/how-we-made-github-copilot-cli-more-selective-about-delegation/) — GitHub's own framing of agent delegation discipline; the strongest direct press-to-developer correlation of the week, aligning precisely with the loop engineering and orchestration tooling visible in new_repos.
89 +- [NVIDIA Blackwell Leads on First Agentic AI Infrastructure Benchmark](https://blogs.nvidia.com/blog/nvidia-blackwell-agentperf-artificial-analysis/) — Enterprise agentic infrastructure benchmarking; developer activity focused on token arbitrage, model routing, and behavioral transfer — the same instinct at a fraction of the capital and infrastructure requirement.
90 +- [Google DeepMind is worried about what happens when millions of agents start to interact](https://www.technologyreview.com/2026/06/11/1138794/google-deepmind-is-worried-about-what-happens-when-millions-of-agents-start-to-interact/) — Institutional concern about multi-agent dynamics; correlates loosely with the meta-harness and orchestration layer entries in new_repos, though developers are building coordination infrastructure rather than studying emergent behavior.
91 +- [From one-off prompts to workflows: How to use custom agents in GitHub Copilot CLI](https://github.blog/ai-and-ml/github-copilot/from-one-off-prompts-to-workflows-how-to-use-custom-agents-in-github-copilot-cli/) — Platform documentation of the workflows pattern developers are actively building; the most direct editorial alignment between a press item and new_repos activity this week.
data/candidates/2026-W25/27547655741/diagnostics/copilot-cli-attempt-0.log new
+11
@@ -0,0 +1,11 @@
1 +The file is 321KB. Let me read the key sections — instructions and data — before spawning Farnsworth.
2 +
3 +Good. Now let me check the end of the prompt file for instructions, then spawn Farnsworth.
4 +
5 +I have enough context now. Spawning Farnsworth.
6 +
7 +🔍 **Farnsworth** — writing 2026-W25 analysis to `data/candidates/2026-W25/27547655741/`
8 +
9 +Farnsworth is on it — reading the 321KB prompt file, analyzing W25 data, and writing the summary. I'll report back when done.
10 +
11 +Now let me read the W25 analysis prompt:Now let me compute exact counts with a script:
\ No newline at end of file
data/candidates/2026-W25/27547655741/diagnostics/copilot-cli-attempt-1.log new
+17
@@ -0,0 +1,17 @@
1 +Now I have enough context. Let me also quickly scan for the signals/trending_repos section of the JSON and check the total repo counts.
2 +
3 +Now I have all the data I need. Let me create the output directory and write the analysis.
4 +
5 +Good, the directory already exists. Now let me write the analysis file:
6 +
7 +The file is written — 2,014 words, well above the 200-word minimum. All required sections are in place, frontmatter is complete, and the analysis follows the editorial instructions exactly.
8 +
9 +**Summary of the W25 analysis:**
10 +
11 +- **Top story**: `DietrichGebert/ponytail` (10,835★) — YAGNI-enforcement skill, the first signal that demand exists for skills that *constrain* LLM output, not just add capabilities
12 +- **Key new cluster**: Fable behavior transfer (5 repos) — developers engineering Claude Fable 5's planning discipline into cheaper/available models in direct response to Anthropic's model access crackdown
13 +- **Emerging discipline**: Loop engineering crystallizing with tooling, guides, and curated pattern collections
14 +- **Underreported story**: AUR supply-chain attack generated practitioner response (1,000★) before press coverage
15 +- **Noise floor**: Coordinated NSFW generators, MSNightmare exploit-framed repos with fork inflation, KMS activators, game cheats
16 +- **Blind spots called out**: No trust/verification model for Fable behavior transfer; no supply-chain integrity tooling for SKILL.md distribution
17 +
data/candidates/2026-W25/27547655741/diagnostics/evidence-slices/new_repos-398c783e9b80.json new
+2851
@@ -0,0 +1,2851 @@
1 +{
2 + "checksum_sha256": "398c783e9b80339ffaf4b4b13e152e8fae9514f50053912d5f8101a06ac12acf",
3 + "component": "new_repos",
4 + "provenance": {
5 + "sources": {
6 + "raw_json": {
7 + "bytes": 258628,
8 + "path": "data/raw/2026-W25.json",
9 + "sha256": "061bf89ff35a59dbf28d7d492b1dec954842314842e3716e893ab1ca196e0c7a"
10 + }
11 + },
12 + "week": "2026-W25"
13 + },
14 + "records": [
15 + {
16 + "created_at": "2026-06-12T00:52:37Z",
17 + "description": "Makes your AI agent think like the laziest senior dev in the room. The best code is the code you never wrote.",
18 + "full_name": "DietrichGebert/ponytail",
19 + "language": "JavaScript",
20 + "source": "new_repos",
21 + "stars": 10835,
22 + "stars_gained": null,
23 + "topics": [
24 + "agent-skills",
25 + "ai-agents",
26 + "claude",
27 + "claude-code",
28 + "claude-code-plugin",
29 + "cursor-rules",
30 + "developer-tools",
31 + "llm",
32 + "prompt-engineering",
33 + "yagni"
34 + ],
35 + "url": "https://github.com/DietrichGebert/ponytail"
36 + },
37 + {
38 + "created_at": "2026-06-10T11:06:58Z",
39 + "description": "Use your most capable model to audit your codebase and write plans for cheaper models to execute.",
40 + "full_name": "shadcn/improve",
41 + "language": null,
42 + "source": "new_repos",
43 + "stars": 4626,
44 + "stars_gained": null,
45 + "topics": [],
46 + "url": "https://github.com/shadcn/improve"
47 + },
48 + {
49 + "created_at": "2026-06-11T12:18:13Z",
50 + "description": "A meta-harness for all your AI agents. Omnigent provides a common layer over Claude Code, Codex, Pi, and the agents you write yourself: swap or combine harnesses without rewriting, keep them in check with policies and sandboxing, and collaborate in real time on the same live session, from any device.",
51 + "full_name": "omnigent-ai/omnigent",
52 + "language": "Python",
53 + "source": "new_repos",
54 + "stars": 1436,
55 + "stars_gained": null,
56 + "topics": [],
57 + "url": "https://github.com/omnigent-ai/omnigent"
58 + },
59 + {
60 + "created_at": "2026-06-09T19:10:18Z",
61 + "description": "RoguePlanet Windows Defender Vulnerability",
62 + "full_name": "MSNightmare/RoguePlanet",
63 + "language": "C++",
64 + "source": "new_repos",
65 + "stars": 1285,
66 + "stars_gained": null,
67 + "topics": [],
68 + "url": "https://github.com/MSNightmare/RoguePlanet"
69 + },
70 + {
71 + "created_at": "2026-06-10T13:23:39Z",
72 + "description": "国行 Mac 一键开启完整 Apple 智能(端侧 + Private Cloud Compute 云端)· macOS 27 / Apple Silicon",
73 + "full_name": "SkyBlue997/enableMacosAI",
74 + "language": "Shell",
75 + "source": "new_repos",
76 + "stars": 1255,
77 + "stars_gained": null,
78 + "topics": [
79 + "apple-intelligence"
80 + ],
81 + "url": "https://github.com/SkyBlue997/enableMacosAI"
82 + },
83 + {
84 + "created_at": "2026-06-14T11:21:55Z",
85 + "description": "Shadow any website for offline viewing, with the JavaScript stripped out",
86 + "full_name": "tamnd/kage",
87 + "language": "Go",
88 + "source": "new_repos",
89 + "stars": 1133,
90 + "stars_gained": null,
91 + "topics": [],
92 + "url": "https://github.com/tamnd/kage"
93 + },
94 + {
95 + "created_at": "2026-06-12T13:17:07Z",
96 + "description": "Detection tools for the June 2026 atomic-lockfile AUR supply-chain attack. Consolidated from community Gists.",
97 + "full_name": "lenucksi/aur-malware-check",
98 + "language": "Shell",
99 + "source": "new_repos",
100 + "stars": 1000,
101 + "stars_gained": null,
102 + "topics": [],
103 + "url": "https://github.com/lenucksi/aur-malware-check"
104 + },
105 + {
106 + "created_at": "2026-06-09T23:24:51Z",
107 + "description": "Agent skill for elegant and simple html plans, architecture diagrams, or whatever else you can think of.",
108 + "full_name": "plannotator/effective-html",
109 + "language": "HTML",
110 + "source": "new_repos",
111 + "stars": 866,
112 + "stars_gained": null,
113 + "topics": [
114 + "agent-skills",
115 + "skills"
116 + ],
117 + "url": "https://github.com/plannotator/effective-html"
118 + },
119 + {
120 + "created_at": "2026-06-12T21:45:48Z",
121 + "description": "人味儿写作 · An AI agent skill: edit people's words without erasing the person behind them",
122 + "full_name": "orange2ai/renwei-writing",
123 + "language": null,
124 + "source": "new_repos",
125 + "stars": 653,
126 + "stars_gained": null,
127 + "topics": [],
128 + "url": "https://github.com/orange2ai/renwei-writing"
129 + },
130 + {
131 + "created_at": "2026-06-09T16:46:40Z",
132 + "description": "Dependency-free text roll animation for vanilla JS, React, and Vue.",
133 + "full_name": "Danilaa1/slot-text",
134 + "language": "TypeScript",
135 + "source": "new_repos",
136 + "stars": 633,
137 + "stars_gained": null,
138 + "topics": [],
139 + "url": "https://github.com/Danilaa1/slot-text"
140 + },
141 + {
142 + "created_at": "2026-06-11T15:10:51Z",
143 + "description": "Turn vague or complex Codex tasks into strong `/goal` commands with outcome, verification, constraints, boundaries, iteration policy, completion evide",
144 + "full_name": "joeseesun/qiaomu-goal-meta-skill",
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170 + },
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173 + "description": "vibe coding 的驾驶舱:左边文件,右边/下边终端,中间看清每一次改动。 / The cockpit for vibe coding: browse files on the left, command agents on the right, watch every change in between.",
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192 + },
193 + {
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195 + "description": "loc567 是一款完全开源免费的纯网页端iOS模拟定位工具。在线体验地址:https://loc567.com",
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206 + "description": "A GNU screen style terminal multiplexer built on libghostty.",
207 + "full_name": "coder/boo",
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221 + },
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224 + "description": "GreatXML bitlocker bypass vulnerability",
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230 + "topics": [],
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308 + "description": "⛵️ Compose Navigation Graph plugin for Android Studio that visualizes your entire app flow as an interactive map of rendered previews, typed arguments, and transitions.",
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330 + "description": "ER diagram generator. Paste CREATE TABLE statements and get a clean, interactive ERD — runs 100% in your browser, nothing uploaded",
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362 + "description": "A production-grade OSINT platform that provides situational awareness across multiple intelligence domains.",
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379 + "description": "Loop engineering for agentic software delivery.",
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390 + "description": "Full Transformer into a custom chip. microGPT in RTL, generating names on a Virtex-5 FPGA at ~56k tokens/second.",
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402 + "full_name": "duolahypercho/fusion-fable",
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412 + "description": "A fast, keyboard-driven Kubernetes TUI. Browse any resource, edit objects, follow logs, and shell into pods. Inspired by k9s, Lens, and lazygit.",
413 + "full_name": "bjarneo/kli",
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436 + "description": "🪸 Powerlevel10k-inspired statusline for Claude Code — paste one prompt and your AI interviews you, then installs it",
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453 + },
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456 + "description": "Experimentation projects with Anthropic's new Claude models (Fable 5 / Mythos)",
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467 + "description": "Compile Zod schemas into zero-overhead validation functions at build time. Works with Vite, webpack, esbuild, Rollup, etc",
468 + "full_name": "gajus/zod-compiler",
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480 + "description": "LUMEN, a generative shader studio. 9 WebGL2 art modes plus synth style blending, perfect-loop animation, gradient sets, share codes and PNG/WebM/GIF export. Zero dependencies.",
481 + "full_name": "Leonxlnx/lumenshaders",
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496 + },
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499 + "description": "Practical patterns, starters & CLI tools for loop engineering with AI coding agents. Design systems that prompt and orchestrate agents (inspired by Addy Osmani and Boris Cherny). Includes loop-audit, loop-init, loop-cost.",
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520 + "loop-engineering",
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522 + "prompt-engineering"
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525 + },
526 + {
527 + "created_at": "2026-06-10T23:58:59Z",
528 + "description": "🍊 New Yorker-style minimalist editorial illustration skill for AI agents — one idea, one accent, lots of silence. Free for open-source use; commercial license for closed-source.",
529 + "full_name": "orange2ai/orange-line-illustration",
530 + "language": null,
531 + "source": "new_repos",
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539 + "description": "25方向のマウス追従と口パクに対応したトマリ用ブラウザアバター",
540 + "full_name": "rotejin/tomari-guruguru",
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550 + "description": "Official TestSprite CLI — AI-powered automated testing from your terminal",
551 + "full_name": "TestSprite/testsprite-cli",
552 + "language": "TypeScript",
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565 + "url": "https://github.com/TestSprite/testsprite-cli"
566 + },
567 + {
568 + "created_at": "2026-06-13T13:49:56Z",
569 + "description": "macOS CLI for OCR and searchable PDFs using Apple's Vision framework.",
570 + "full_name": "privatenumber/mac-ocr",
571 + "language": "Swift",
572 + "source": "new_repos",
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576 + "apple-vision",
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582 + "ocr",
583 + "pdf",
584 + "searchable-pdf",
585 + "swift",
586 + "text-recognition",
587 + "vision-framework"
588 + ],
589 + "url": "https://github.com/privatenumber/mac-ocr"
590 + },
591 + {
592 + "created_at": "2026-06-11T19:54:14Z",
593 + "description": "Opus에 근접한 품질을 Sonnet 단가에 — 가성비 AI 운영 모델을 직접 구축한 Claude Code 프로젝트",
594 + "full_name": "itsinseong/value-for-fable",
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606 + "fable5",
607 + "harness",
608 + "opus",
609 + "prompt-engineering",
610 + "sonnet"
611 + ],
612 + "url": "https://github.com/itsinseong/value-for-fable"
613 + },
614 + {
615 + "created_at": "2026-06-09T09:46:24Z",
616 + "description": "Turn human SOPs into deterministic, gated agentic workflows — a Claude Code plugin.",
617 + "full_name": "s0912758806p/agentic-sop-to-work",
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621 + "stars_gained": null,
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631 + {
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633 + "description": "Generate complete, gripping original Chinese short fiction from story ideas with reusable narrative craft hooks.",
634 + "full_name": "joeseesun/qiaomu-novel-generator",
635 + "language": "Python",
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644 + "description": "A Claude Code plugin that makes Opus behave like Fable — completion, evidence, and verification enforced as procedure. Ships only what a Fable-vs-Opus comparison proved transferable.",
645 + "full_name": "fivetaku/fablize",
646 + "language": "Shell",
647 + "source": "new_repos",
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652 + "anthropic",
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657 + "opus"
658 + ],
659 + "url": "https://github.com/fivetaku/fablize"
660 + },
661 + {
662 + "created_at": "2026-06-09T11:52:49Z",
663 + "description": "Veltoc Model 01 is a ESP32 powered, retro-inspired environmental monitor with an E-Ink display. It can monitor temperature, humidity and air pressure. Connect to wifi to also display the current time.",
664 + "full_name": "danking6/veltoc",
665 + "language": "C++",
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669 + "topics": [],
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674 + "description": "DCOM in memory and fileless lateral movement techniques through .Net deserilization",
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679 + "stars_gained": null,
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682 + },
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685 + "description": "Shioaji Pro — professional trading terminal for Taiwan markets (TWSE/TPEX/TAIFEX) built on the Shioaji HTTP API: real-time SSE quotes, candlestick charts with click-to-trade & drag-to-reprice, flash order ladder, stop/take-profit triggers, customizable drag-and-drop workspace",
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690 + "stars_gained": null,
691 + "topics": [],
692 + "url": "https://github.com/Sinotrade/shioaji-pro-app"
693 + },
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695 + "created_at": "2026-06-13T13:44:35Z",
696 + "description": "Windows security research toolkit for LPE, persistence, COM hijacking, and attack surface enumeration.",
697 + "full_name": "kernelstub/Ferrum",
698 + "language": "Go",
699 + "source": "new_repos",
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702 + "topics": [
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704 + "lpe",
705 + "persistence",
706 + "uac-bypass",
707 + "windows"
708 + ],
709 + "url": "https://github.com/kernelstub/Ferrum"
710 + },
711 + {
712 + "created_at": "2026-06-14T04:23:45Z",
713 + "description": "AI-powered animation sprite studio — generate character sprite sheets with 8 directions and 100+ actions from a single text prompt (Wails + Go + React)",
714 + "full_name": "gykim80/perfectpixel-studio",
715 + "language": "Go",
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721 + "game-development",
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723 + "pixel-art",
724 + "sprite",
725 + "spritesheet",
726 + "wails"
727 + ],
728 + "url": "https://github.com/gykim80/perfectpixel-studio"
729 + },
730 + {
731 + "created_at": "2026-06-15T06:47:32Z",
732 + "description": "Better scripts executor for Roblox 2026.",
733 + "full_name": "thamer4a-afk/VelocityRobloxExecutor",
734 + "language": null,
735 + "source": "new_repos",
736 + "stars": 154,
737 + "stars_gained": null,
738 + "topics": [],
739 + "url": "https://github.com/thamer4a-afk/VelocityRobloxExecutor"
740 + },
741 + {
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743 + "description": "Open Dungeon — the first easy-to-use, fully local AI roleplay app. Story and inline scene images generated 100% on your machine (Gemma 4 QAT via Ollama(and others) + FLUX). No accounts, no API keys,…",
744 + "full_name": "newideas99/open-dungeon",
745 + "language": "TypeScript",
746 + "source": "new_repos",
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748 + "stars_gained": null,
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2021 + "description": "The definitive OpenAI, Claude, MCP, Harness, Evals, and Production Agent Systems learning roadmap.",
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2113 + "description": "Pépite 💎 Extension Chrome d'analyse de biens immobiliers (France) : prix vs marché DVF, analyse IA multi-provider, négociation, restyle déco par IA",
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2124 + "description": "基于 RAG的商品知识问答系统",
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2143 + },
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2146 + "description": "A native iOS app for re-shooting regular photos from different angles.",
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2165 + "description": "Port of Nvidia LocateAnything-3B on ggml",
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2176 + "description": "maante neverness to everness nte assistant github bot auto fishing skip dialogue daily rewards maaframework tool 异环小助手",
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2179 + "source": "new_repos",
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2181 + "stars_gained": null,
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2186 + "maaframework",
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2192 + "nevernesstoeverness",
2193 + "nte",
2194 + "nte-auto-fish",
2195 + "nte-cheat",
2196 + "nte-cheats",
2197 + "nte-ray-tracing",
2198 + "ok-nte",
2199 + "oknte",
2200 + "unlocker-fps"
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2203 + },
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2205 + "created_at": "2026-06-11T16:23:24Z",
2206 + "description": "Iron-Man-style voice assistant + holographic HUD for Hermes Agent. Local Whisper STT, ElevenLabs voice, agent-summoned media panels, runs on your own hardware.",
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2219 + "voice-assistant",
2220 + "whisper"
2221 + ],
2222 + "url": "https://github.com/eadmin2/jarvis_ai"
2223 + },
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2226 + "description": "Flash USDT Sender — Multi-network flash transaction tool for USDT, BTC, and ETH with configurable duration, custom gas settings, ERC-20/TRC-20/BEP-20 support, and block explorer-visible confirmations",
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2229 + "source": "new_repos",
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2231 + "stars_gained": null,
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2234 + "electrum-fake-balance",
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2238 + "fake-balance-crypto",
2239 + "fake-btc-transaction",
2240 + "flash-btc-software-free",
2241 + "flash-crypto-2025",
2242 + "flash-eth-software",
2243 + "flash-free-demo",
2244 + "flash-loan",
2245 + "flash-usdt-binance-2026",
2246 + "flash-usdt-freedemo",
2247 + "flashcrypto",
2248 + "flasher-tool",
2249 + "okx-fake-balance",
2250 + "usdt-flash-coin",
2251 + "wallet-spoofer"
2252 + ],
2253 + "url": "https://github.com/ninaantonov/Flash-USDT-Sender"
2254 + },
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2256 + "created_at": "2026-06-11T12:25:32Z",
2257 + "description": "BetterPoster for Jellyfin",
2258 + "full_name": "TheAceOfficials/BetterPoster-for-Jellyfin",
2259 + "language": "HTML",
2260 + "source": "new_repos",
2261 + "stars": 59,
2262 + "stars_gained": null,
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2265 + "jellyfin-metadata-provider",
2266 + "jellyfin-plugin"
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2268 + "url": "https://github.com/TheAceOfficials/BetterPoster-for-Jellyfin"
2269 + },
2270 + {
2271 + "created_at": "2026-06-12T02:26:39Z",
2272 + "description": "Agent-assisted Markdown article to Xiaohongshu image cards workflow",
2273 + "full_name": "bozhouDev/xhs-article-to-images",
2274 + "language": "CSS",
2275 + "source": "new_repos",
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2277 + "stars_gained": null,
2278 + "topics": [],
2279 + "url": "https://github.com/bozhouDev/xhs-article-to-images"
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2281 + {
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2283 + "description": "鸡渊PC端MOD",
2284 + "full_name": "anosu/AbyssMod",
2285 + "language": "C#",
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2294 + "description": "worldcup fifa 2026 auto trading strategy world cup fifa 2026 auto trading bot worldcup fifa 2026 auto trading strategy world cup fifa 2026 auto trading bot worldcup fifa 2026 auto trading strategy world cup fifa 2026 auto trading bot worldcup fifa 2026 auto trading strategy world cup fifa 2026 auto trading bot worldcup fifa 2026 auto trading bot",
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2299 + "stars_gained": null,
2300 + "topics": [
2301 + "fifa",
2302 + "fifa-2026",
2303 + "world-cup",
2304 + "world-cup-2026",
2305 + "worldcup",
2306 + "worldcup2026"
2307 + ],
2308 + "url": "https://github.com/core-trading/world-cup-trading-bot-ts"
2309 + },
2310 + {
2311 + "created_at": "2026-06-09T16:23:08Z",
2312 + "description": "This is a skill that can be used for most of the agentic AI, which enables your Hermes, Openclaw ...etc to look for a bunch of papers based on your research plan. It will access to scopus by the scopus mcp, and OpenAlex api ...etc",
2313 + "full_name": "CYC2002tommy/Deep-Research-Agent",
2314 + "language": "JavaScript",
2315 + "source": "new_repos",
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2317 + "stars_gained": null,
2318 + "topics": [],
2319 + "url": "https://github.com/CYC2002tommy/Deep-Research-Agent"
2320 + },
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2323 + "description": "polymarket worldcup fifa 2026 auto trading strategy polymarket world cup fifa 2026 auto trading bot polymarket worldcup fifa 2026 auto trading strategy polymarket world cup fifa 2026 auto trading bot polymarket worldcup fifa 2026 auto trading strategy polymarket world cup fifa 2026 auto trading bot polymarket worldcup fifa 2026 auto trading bot",
2324 + "full_name": "SignalTradingLab/world-cup-2026-arbitrage-trading-bot",
2325 + "language": "TypeScript",
2326 + "source": "new_repos",
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2328 + "stars_gained": null,
2329 + "topics": [
2330 + "fifa",
2331 + "fifa-2026",
2332 + "polymarket",
2333 + "polymarket-trading-bot",
2334 + "trading-bot",
2335 + "world-cup",
2336 + "world-cup-2026",
2337 + "world-cup-2026-football-soccer-static-site-seo",
2338 + "world-cup-2026-prediction",
2339 + "worldcup",
2340 + "worldcup2026"
2341 + ],
2342 + "url": "https://github.com/SignalTradingLab/world-cup-2026-arbitrage-trading-bot"
2343 + },
2344 + {
2345 + "created_at": "2026-06-09T08:10:08Z",
2346 + "description": "Kostenlose, self-hostbare Open-Source-Rechnungssoftware für Deutschland · E-Rechnung (XRechnung/EN 16931, offiziell Schematron-validiert), GoBD, §14 UStG, Kleinunternehmer §19 · per Claude Code (MCP) in natürlicher Sprache steuerbar · AGPL-3.0",
2347 + "full_name": "automationsmanufaktur-labs/open-invoice-germany",
2348 + "language": "TypeScript",
2349 + "source": "new_repos",
2350 + "stars": 58,
2351 + "stars_gained": null,
2352 + "topics": [
2353 + "claude",
2354 + "dsgvo",
2355 + "e-rechnung",
2356 + "en16931",
2357 + "germany",
2358 + "gobd",
2359 + "invoice",
2360 + "invoicing",
2361 + "kleinunternehmer",
2362 + "mcp",
2363 + "nextjs",
2364 + "open-source",
2365 + "rechnungssoftware",
2366 + "self-hosted",
2367 + "typescript",
2368 + "umsatzsteuer",
2369 + "xrechnung",
2370 + "zugferd"
2371 + ],
2372 + "url": "https://github.com/automationsmanufaktur-labs/open-invoice-germany"
2373 + },
2374 + {
2375 + "created_at": "2026-06-13T17:38:23Z",
2376 + "description": "ytdownloader github youtube downloader chrome extension video audio mp3 mp4 4k hd download application github desktop app open source",
2377 + "full_name": "Timgt86/yt-downloader-savetube",
2378 + "language": "C#",
2379 + "source": "new_repos",
2380 + "stars": 58,
2381 + "stars_gained": null,
2382 + "topics": [
2383 + "bulk-downloader-yt",
2384 + "open-source-video-downloader",
2385 + "simple-yt-downloader",
2386 + "streaming-video-downloader",
2387 + "video-download",
2388 + "video-download-tool",
2389 + "video-downloader-apps",
2390 + "video-downloader-from-any-website",
2391 + "youtube-",
2392 + "youtube-4k-downloader",
2393 + "youtube-channel",
2394 + "youtube-clip-downloader",
2395 + "youtube-download",
2396 + "youtube-downloader",
2397 + "youtube-downloader-bot",
2398 + "youtube-downloader-gui",
2399 + "youtube-videos-downloader",
2400 + "youtubedownloader",
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