@cryptotaxi247 / SquadScope-1 / commits / 5cb17d1

Validate manual dry run for #7

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

jmservera committed May 18, 2026 at 11:12 UTC 5cb17d18ab07d442ec076b7ddd45f95034ea78b8
5 files changed +108 -15
.squad/agents/fry/history.md
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14
15 ## Learnings
16
17 -_No learnings recorded yet._
17 +- **2026-05-18T10:59:10.800+02:00:** The PaperMod theme in this repo needs Hugo `v0.146.0+`; dry-run validation failed on the system `v0.123.7` binary and only passed after switching to a newer Hugo build.
18 +- **2026-05-18T10:59:10.800+02:00:** Real crawler output is publishable with manual curation, but `trending_repos` needs historical snapshots and the new-repo filter still lets exploit/cheat noise through.
.squad/decisions/inbox/fry-dry-run-findings.md new
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1 +# Fry Dry-Run Findings
2 +
3 +Date: 2026-05-18T10:59:10.800+02:00
4 +Issue: #7
5 +
6 +## Findings worth tracking
7 +
8 +1. **Pin Hugo version everywhere validation runs.** The local environment defaulted to `hugo v0.123.7`, but the repository theme requires `v0.146.0+`. Dry-run validation only succeeded after using `hugo v0.161.1`.
9 +2. **Trending requires historical state.** `data/raw/2026-W21.json` contains no usable `stars_gained` values in `trending_repos`, so the current output is popularity-biased rather than momentum-based.
10 +3. **Crawler filtering still lets through too much off-mission content.** The sample week contains multiple exploit, bypass, cheat, and game-mod repositories high in the “new” ranking. That needs stronger filtering or a quality gate before auto-publish.
11 +4. **Analyze/generate contract needs one final source of truth.** The PRD weekly page shape and the approved analyzer quality-gate contract are close, but not identical, so the generator step should explicitly define how analyzed markdown maps into publishable Hugo content.
content/weekly/2026/W21.md
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1 ---
2 title: "Week 21, 2026"
3 -date: 2026-05-18
3 +date: 2026-05-18T10:59:10.800+02:00
4 week: "2026-W21"
5 -tags: [ai, devtools, rust, security]
5 +tags: [ai, agents, developer-tooling, security, open-source]
6 categories: [weekly]
7 -repos_featured: 12
8 -stars_tracked: 847203
9 -top_repo: "acme/shipyard"
10 -summary: "Placeholder weekly report used to validate the SquadScope homepage, archive, and report template rendering."
7 +repos_featured: 424
8 +stars_tracked: 20204141
9 +top_repo: "vercel-labs/zero"
10 +summary: "Manual dry run for 2026-W21: agent tooling dominates the clean signal, while the trending dataset still needs historical star snapshots."
11 +analysis_source: "data/analyzed/2026-W21-summary.md"
12 +data_source: "data/raw/2026-W21.json"
13 draft: false
14 ---
15
14 -## Notable New Repositories
16 +_Manual dry-run weekly page generated from `data/analyzed/2026-W21-summary.md` using `data/raw/2026-W21.json`._
17
16 -- **acme/shipyard** — a fictional platform engineering toolkit used here as placeholder content for layout validation.
17 -- **open-labs/rivet-rs** — a placeholder Rust workflow engine representing systems and tooling interest.
18 -- **secure-by-default/lockwatch** — a sample security repo standing in for the week's defensive tooling launches.
18 +## Notable New Repos
19 +
20 +The clearest new-repo signal is a cluster of agent-focused developer tooling. **vercel-labs/zero** leads the week as a high-interest launch with a sharp positioning statement, while **DenisSergeevitch/agents-best-practices**, **Kappaemme-git/codex-complexity-optimizer**, **gi-dellav/zerostack**, and **openclaw/clawpatch** all reinforce the same theme: teams want lighter runtimes, safer automation, and reusable workflows for coding agents. Outside that lane, **facebookresearch/vggt-omega** provides a strong research signal in vision, and **chrisbanes/skills** suggests that packaged “skills” are becoming a recognizable way to ship knowledge for developer tools.
21
22 ## Trending This Week
23
22 -The placeholder leaderboard is led by **acme/shipyard**, which represents the kind of repo that attracts rapid stars when it promises to simplify internal developer platforms. The supporting examples point to familiar SquadScope themes: AI-adjacent tooling, Rust-based infrastructure, and security automation.
24 +The active heavyweight set includes **freeCodeCamp/freeCodeCamp**, **public-apis/public-apis**, **facebook/react**, **n8n-io/n8n**, **ollama/ollama**, **huggingface/transformers**, **langgenius/dify**, **firecrawl/firecrawl**, and **anthropics/claude-code**. That mix still points to real demand around AI workflow platforms, coding agents, and developer productivity infrastructure. The limitation is that this week has no historical star baseline, so the list behaves more like “widely watched repos touched this week” than a strict stars-gained leaderboard.
25
26 ## Trend Analysis
27
26 -Even in this sample content, the pattern is clear: developers continue rewarding tools that reduce platform friction, improve deployment confidence, and make complex workflows easier to operate. For the frontend, that means the weekly template needs to present both raw momentum and a brief explanation of why the movement matters.
28 +AI and agentic tooling dominate the sample. The crawler surfaced 209 new repositories and 215 trending repositories, with the strongest shared topics landing on **python**, **ai**, **llm**, **typescript**, **nodejs**, and **javascript**. Security is the second loudest signal, but much of it is exploit-oriented rather than defensive tooling. The data is also still noisy: more than half of the new repositories have no declared language, several high-ranking entries are bypass or exploit repos, and a meaningful slice of the “new” feed looks like gaming-mod or cheat tooling. The weekly format can absorb that noise for now, but autonomous publication should not rely on the current filter quality.
29
30 ## What's Missing
31
30 -This placeholder issue deliberately leaves out mobile, design systems, and developer education projects. That gap is useful because it confirms the template can call attention to missing conversations instead of only repeating the loudest trends.
32 +A true trend calculation is still missing because `data/snapshots/` does not yet provide the historical baseline needed to fill `stars_gained`. The crawler also needs stronger filtering so obvious off-mission repositories do not compete with legitimate developer products. Finally, this page was assembled manually because the Analyze → Generate handoff has not been automated yet, so monthly/yearly regeneration and other downstream content refreshes were not part of this dry run.
33
34 ## Conclusion
35
34 -Use this sample page as the reference shape for generated weekly summaries: a compact headline, a few clear metrics, and five repeatable sections that make the analysis easy to scan.
36 +The dry run proves the existing Hugo structure can publish a believable weekly report from real crawler output once it has a curated markdown summary. The main blockers to full automation are data hygiene, real trend baselines, and a generator step that consistently turns analyzed markdown into publishable site content.
data/analyzed/2026-W21-summary.md new
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1 +---
2 +title: "Week 21, 2026 Analysis"
3 +date: 2026-05-18T10:59:10.800+02:00
4 +week: "2026-W21"
5 +year: 2026
6 +categories: [weekly]
7 +tags: [ai, agents, developer-tooling, security, open-source]
8 +quality_score: 78
9 +summary: "Manual dry run of 2026-W21 shows agent tooling dominating new launches, while the trending dataset still needs historical snapshots to measure real weekly momentum."
10 +source_data: "data/raw/2026-W21.json"
11 +manual: true
12 +---
13 +
14 +## Notable New Repos
15 +
16 +The cleanest signal in the 209 newly collected repositories is a cluster of agent-focused developer tooling. **vercel-labs/zero** stands out as the biggest launch with a concise product story, while **DenisSergeevitch/agents-best-practices**, **Kappaemme-git/codex-complexity-optimizer**, **gi-dellav/zerostack**, and **openclaw/clawpatch** all point in the same direction: teams want sharper workflows for coding agents, lighter execution runtimes, and safer automation. Outside that lane, **facebookresearch/vggt-omega** adds a credible research signal in multimodal vision, and **chrisbanes/skills** shows that reusable skill packs are becoming a recognizable packaging format.
17 +
18 +## Trending This Week
19 +
20 +The trending dataset is led by giant incumbents rather than breakout winners: **freeCodeCamp/freeCodeCamp**, **public-apis/public-apis**, **facebook/react**, **n8n-io/n8n**, **ollama/ollama**, **huggingface/transformers**, **langgenius/dify**, **firecrawl/firecrawl**, and **anthropics/claude-code**. That still tells a useful story. The strongest sustained attention is around AI workflow platforms, coding agents, and developer productivity infrastructure. The caveat is important: this week has no prior star snapshot, so the list reflects highly starred repositories that were active during the crawl window, not a true stars-gained leaderboard.
21 +
22 +## Trend Analysis
23 +
24 +AI and agentic tooling clearly dominate the week. Roughly 85 of the 209 new repositories match AI or agent-oriented keywords, and the top shared topics across the full dataset are **python**, **ai**, **llm**, **typescript**, **nodejs**, and **javascript**. Security is the second loudest theme, but much of that signal is exploit-heavy rather than defensive product work. At the same time, the crawler is still letting too much noise through: more than half of the new repositories have no declared language, about 34 new entries look like game-mod or cheat utilities, and several high-ranking items are vulnerability exploits or bypass tools. The data is useful enough for a human-written summary, but not yet clean enough for fully trusted autonomous publishing.
25 +
26 +## What's Missing
27 +
28 +Three gaps block full automation. First, the trending set has no `stars_gained` values this week because `data/snapshots/` does not yet contain a historical baseline. Second, the crawler needs stronger filtering so obvious spam, cheat tooling, and exploit repositories do not compete with legitimate developer products. Third, the manual generator step is still manual: monthly/yearly rollups, search indexing, and publish-time validation are not being refreshed from analyzed output yet.
29 +
30 +## Conclusion
31 +
32 +This dry run proves the pipeline can already tell a coherent story from real crawler output, but it also exposes the work still needed before the process can run unattended. The content model is strong enough for Hugo, the weekly page shape is viable, and the biggest remaining risks are data hygiene, true trend calculation, and formalizing the generator contract between `data/analyzed/` and `content/`.
docs/dry-run-report.md new
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1 +# Dry Run Report — Issue #7
2 +
3 +**Executed:** 2026-05-18T10:59:10.800+02:00
4 +**Scope:** Manual crawl → analyze → publish dry run using `data/raw/2026-W21.json`
5 +
6 +## Inputs Checked
7 +
8 +- `data/raw/2026-W21.json` exists.
9 +- The crawler payload passes `scripts.crawl.validate_payload`.
10 +- Top-level structure is present: `week`, `crawled_at`, `new_repos`, `trending_repos`, `signals`, `metadata`.
11 +- Source counts: 209 new repositories, 215 trending repositories, 424 total entries.
12 +
13 +## What Worked
14 +
15 +1. **Manual analysis artifact created** at `data/analyzed/2026-W21-summary.md`.
16 +2. **Weekly Hugo content updated** at `content/weekly/2026/W21.md` and linked back to both the raw and analyzed artifacts.
17 +3. **Hugo build succeeded** when run with a compatible local binary (`v0.161.1`).
18 +4. **Homepage validation passed**: the latest-week slot resolves to Week 21, 2026.
19 +5. **Archive validation passed**: `/archive/` lists the weekly entry.
20 +6. **RSS validation passed**: `public/index.xml` includes the Week 21 entry.
21 +7. **Taxonomy validation passed**: generated tags and categories pages include the weekly entry.
22 +
23 +## What Did Not Work Cleanly
24 +
25 +1. **System Hugo is too old.** The machine default was `hugo v0.123.7`, but the PaperMod theme requires `v0.146.0+`, so the first build failed before validation could proceed.
26 +2. **Trending is not truly trending yet.** Every `trending_repos` item for this week has `stars_gained = null`, which means the output is effectively “popular repos active this week” until a prior snapshot exists.
27 +3. **Crawler noise is still high.** The new-repo dataset includes a noticeable amount of exploit, bypass, cheat, and game-mod content that would weaken fully automated publication.
28 +4. **Automation gap remains.** The weekly page was assembled manually because the Analyze → Generate handoff is not implemented yet.
29 +
30 +## Observations From the Data
31 +
32 +- AI/agentic tooling is the dominant theme in both new and trending datasets.
33 +- Security appears often, but much of that signal is exploit-oriented rather than defensive tooling.
34 +- The strongest credible new-repo cluster is around agent workflows, reusable skills, and lightweight coding infrastructure.
35 +- The strongest trending cluster is around established AI and developer-platform repositories (`n8n`, `ollama`, `transformers`, `dify`, `firecrawl`, `claude-code`).
36 +
37 +## Missing Pieces Before Full Automation
38 +
39 +- Seed and maintain historical snapshots so trending can calculate real weekly star deltas.
40 +- Tighten crawler filtering or add a post-crawl quality gate for off-mission repositories.
41 +- Implement the generator step that converts analyzed markdown into weekly/monthly/yearly Hugo content.
42 +- Pin Hugo version in local/CI verification so validation does not depend on a too-old system package.
43 +- Align the long-term analyzed markdown contract with the final weekly page schema and quality gate expectations.
44 +
45 +## Dry Run Verdict
46 +
47 +**Partial pass.** The publish side of the pipeline is structurally viable once given a valid analyzed markdown file, and the site surfaces the weekly entry in the expected places. Full end-to-end automation is still blocked by missing trend baselines, noisy crawl output, and the absent Analyze → Generate automation step.