chore: record successful analysis run
Record successful Copilot-only analysis run, PR integrations, and archive old decisions.
Juan Manuel Servera committed
Jun 6, 2026 at 10:30 UTC
42fe16d73b6acc6decf23a413e60272851e03a59
3 files changed
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.squad/decisions-archive.md
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@@ -2337,3 +2337,834 @@ Implement matrix only if at least one gate is met:
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- Retry isolation can hide systemic failures unless fan-in produces clear status and gates.
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---
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+# Leela — Issue hierarchy refresh for safe weekly analysis reruns
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+
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+- Date: 2026-06-05T21:03:35.661+00:00
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+- Lead: Leela
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+- Parent epic: #248
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+- New child: #261
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+
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+## Product north star
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+
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+SquadScope's core product is high-quality AI trend analysis and article generation. Crawling and scrape artifacts are supporting evidence systems: they should improve freshness, provenance, and analysis reliability, but they are not the product focus.
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+
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+## Immediate safety objective
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+
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+Bad, failed, degraded, stale-evidence-backed, or no-AI fallback reruns must not overwrite a previously good weekly article. A good AI-authored weekly article remains the default last-known-good artifact unless an explicit, audited force/restore path is selected.
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+
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+## Final hierarchy
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+
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+- #248 — Parent epic: protect published weekly analysis from unsafe reruns and state the AI analysis/article-generation north star.
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+- #249 — Candidate staging and publish eligibility manifest, including AI provenance, source artifact provenance, freshness/reuse, and gate results.
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+- #250 — Preserve existing good weekly analysis on failed/degraded/no-AI/stale-evidence reruns.
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+- #251 — Block no-AI fallback from replacing AI-authored weekly summaries by default.
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+- #252 — Explicit safe rerun modes and restore controls; normal reruns reuse valid same-day source artifacts and process only missing/stale sources.
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+- #253 — Immutable backups and publish-branch concurrency safeguards with source provenance preserved.
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+- #254 — Atomic weekly promotion across analyzed artifacts, content, deploy, and notifications.
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+- #255 — Stronger analysis publish gate beyond structural validation, focused on editorial/evidence/provenance quality.
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+- #256 — Deterministic preflight compaction and fallback policy, aligned to future signal-type map/reduce slices.
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+- #257 — Overwrite-protection, safe-rerun idempotency, same-day reuse, and stale-evidence regression tests.
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+- #258 — Selected signal-type claim-ledger map/reduce dry-run: deterministic preflight; mappers for `new_repos`, `trending_repos`, `press_correlations`, and `prior_continuity`; reducer/editorial planner; one final writer; critic/QA gates.
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+- #259 — Safe rerun, force-replace, restore, no-AI, same-day reuse, and map/reduce dry-run operator docs.
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+- #261 — Reuse successful same-day source scrape artifacts on rerun, with per-source reuse, missing/stale detection, freshness/date guard, deterministic fan-in/dedupe, and artifact provenance.
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+
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+## Rationale
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+
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+The hierarchy now prioritizes analysis safety and generated article quality before crawl mechanics. The crawler-related work is framed as evidence freshness and provenance, especially avoiding redundant same-day source scrapes while still detecting missing or stale sources. The map/reduce work is no longer a broad exploration: it is explicitly the signal-type claim-ledger architecture from the PRD and remains dry-run until safety, publish, and QA gates are complete.
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+
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+## GitHub changes made
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+
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+- Edited #248-#259 to clarify priorities, dependencies, and acceptance criteria.
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+- Created #261 for same-day source scrape artifact reuse.
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+- Added parent comment on #248 linking #261 and summarizing the refreshed hierarchy.
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+- Added child comment on #261 linking it back to #248.
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+
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+---
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+
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+### 2026-06-05T21:01:05.160+00:00: User directive — Product focus
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+
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+**By:** jmservera (via Copilot)
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+**What:** SquadScope is not a scraper; the core purpose is AI analytics and article generation. The product should prioritize trend analysis quality and generated articles over crawl mechanics.
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+**Why:** User request — captured for team memory
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+
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+---
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+
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+### 2026-06-05T21:02:36.076+00:00: User directive — Same-day source reuse
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+
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+**By:** jmservera (via Copilot)
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+**What:** Do not repeat successful scraping jobs for the same source on the same day. If a source has already been scraped successfully today, reruns should reuse the latest same-day scrape for that source and continue with the next missing or stale source.
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+**Why:** User request — captured for team memory
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+
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+---
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+
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+
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+# Leela — PR review gate follow-up
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+
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+- Date: 2026-06-01
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+- Context: Round review of PR #218 and PR #219 showed both branches were opened by `jmservera`, which means the current GitHub identity cannot submit an approving review on them.
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+- Decision: Do not bypass the review gate on self-authored pull requests. Treat independent approval as still required before merging branches opened by the same account Leela is operating under.
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+- Why: GitHub blocks self-approval, and preserving the review gate matters more than forcing a merge from the lead seat.
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+
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+# Amy — Topic buttons follow-up
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+
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+- Date: 2026-06-01
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+- Context: Issue #216 mobile topic buttons regression
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+- Proposal: Keep topic discovery centered on `/topics/`, remove the global header topic shortcut strip, and hide per-report topic chips on screens up to 768px while leaving desktop topic browsing available through the homepage rail and Topics page.
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+- Why: The repeated chip rows were consuming too much vertical space on mobile and duplicated navigation that already exists in the primary menu.
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+
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+---
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+
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+
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+# Fry — generate-step failure handling
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+
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+
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+---
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+
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+# Amy — Share button implementation
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+
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+
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+---
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+
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+# Farnsworth — Hindsight validation decision
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+
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+
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+---
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+
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+# Fry — Generate-step failure handling
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+
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+
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+---
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+
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+# Farnsworth hindsight validation decision
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+
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+
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+---
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+
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+# Fry QA triage decision
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+
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+
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+---
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+
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+# Leela: Close unverifiable W23 growth execution
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+
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+
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+---
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+
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+# Fry PR #236 QA Review
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+
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+
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+---
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+
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+# Hermes security review — PR #236 external RSS feeds
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+
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+
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+---
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+
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+# PR #236 security unblock
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+
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+
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+---
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+
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+# Bender — Crawler parallelism analysis
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+
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+
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+---
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+
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+# Farnsworth: LLM input strategy for multi-source news
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+
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+
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+---
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+
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+# Fry QA: crawler reliability and performance next iteration
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+
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+
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+---
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+
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+# Leela — crawler next-iteration issue
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+
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+
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+---
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+
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+# Bender PR #236 Security Fix
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+
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+## Context
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+Hermes blocked PR #236 because config-driven external RSS sources were fetched directly without egress URL validation or explicit per-request timeouts.
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+
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+## Decision
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+External news RSS source configs now require HTTPS URLs whose host is in the approved feed allowlist, with credentials, local/private/link-local targets, and unexpected ports rejected before crawl. Fetching now goes through `urllib.request.urlopen` with an explicit bounded timeout before handing bytes to `feedparser`, while retaining the existing config-driven source list and bounded in-process worker pool.
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+
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+## Validation
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+Added tests for invalid/unapproved URL rejection and explicit fetch timeout propagation. Ran `PYTHONPATH=. .venv/bin/python -m pytest tests -q` with 563 passing tests.
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+
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+---
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+
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+---
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+
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+# Leela — Issue 234 external news source architecture
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+
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+
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+# Fry — Issue #238 notify triage
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+
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+
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+---
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+
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+# Leela PR #241 Review — Idempotent Weekly Release Notify
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+
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+- Date: 2026-06-05
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+- Context: Issue #238 showed a real rerun failure in `notify`: `gh release create week-2026-W23` returned HTTP 422 because the weekly release already existed.
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+- Decision: Keep weekly release notification idempotent by resolving the weekly tag first, editing an existing `week-*` release with `gh release edit`, and creating only when no release exists.
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+- Review result: Approved in substance. Formal GitHub approval was blocked because the authenticated account is the PR author, so Leela posted an explicit lead approval comment instead of bypassing the review gate.
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+- Validation: `tests/test_pipeline.py` passed locally (9 tests), full `tests` passed locally (563 tests), CodeQL checks were green, and Copilot PR review completed with no comments.
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+- Merge gate: Do not merge from this account until the repository's independent-review requirement for `jmservera`-authored PRs is satisfied.
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+- PR #241 merged at 2026-06-05T17:21:05Z, closing issue #238.
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+
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+---
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+
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+---
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+
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+# Bender issue #237 implementation
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+
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+
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+---
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+
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+# Bender PR #242 Copilot Review Fixes
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+
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+- Keep category/project-name-only press matches weak even when temporally spiking or corroborated by multiple articles/sources.
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+- Pass both `--since` and `--until` from the crawl workflow to preserve deterministic canonical `crawl_window` metadata.
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+- Record bounded fetch attempts and timeout telemetry on `NewsFeedSource` even when `fetch_feed()` raises before returning a feed.
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+- Keep press-context article lookup comments aligned with the actual URL-to-title mapping.
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+- PR #243 merged at 2026-06-05T17:34:18Z.
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+
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+---
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+
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+---
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+
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+# Leela PR #243 Review
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+
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+- Verdict: approved in substance after independent lead review.
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+- Scope checked: issue #237 acceptance criteria follow-up, PR #242 Copilot comments, PR #243 diff, tests, CodeQL, Copilot review state.
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+- Local validation: clean PR worktree ran `pytest tests -q` with 574 passed.
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+- Formal GitHub approval blocked: the active account is the PR author and GitHub rejected own-PR approval.
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+- Merge gate: wait for an independent non-Bender reviewer/approval unless repository policy explicitly permits merge with the lead approval comment.
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+
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+---
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+
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+---
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+
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+### 2026-06-05T17:06:31.753+00:00: User directive — Copilot Review Asynchronous Gate
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+
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+**By:** jmservera (via Copilot)
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+**What:** Copilot Review is asynchronous. Before merging a PR, check whether Copilot is still reviewing and do not merge until the review has finished and any review comments are handled.
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+**Why:** User request — captured for team memory
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+
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+---
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+
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+# Bender input — crawl matrix and map/reduce PRD
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+
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+
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+# Farnsworth — PRD input: LLM analysis map/reduce
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+
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+Date: 2026-06-05T17:42:56.819+00:00
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+Requested by: jmservera
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+
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+## Recommendation
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+
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+Adopt a staged map/reduce design for the **LLM analysis stage**, but do not start by splitting the raw crawl job into a GitHub Actions matrix for speed alone. Existing evidence says RSS collection is already fast and in-process parallelized, while the GitHub crawl dominates crawl runtime. The stronger reason for map/reduce is **analysis quality and reliability under context pressure**: smaller mapper calls can extract cited, typed claims from bounded evidence windows, and one reducer can preserve the weekly editorial voice and final `docs/analysis-spec.md` contract.
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+
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+Initial PRD should target an experimental path behind a feature flag or dry-run workflow, with deterministic compaction and validation before any generated weekly summary becomes publishable.
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+
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+## Current context pressure
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+
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+Current weekly analysis input is already large before the model writes anything:
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+
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+- GitHub raw crawl is the dominant payload. The W23 multi-source run recorded in `.squad/decisions.md` produced `213` new repos and `236` trending repos, roughly `296 KB` / `74k` token-estimate in raw GitHub JSON.
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+- External news expanded from one TechCrunch feed to five sources. W23 external news was `54` articles / `27` relevant articles, roughly `45.5 KB` / `11.4k` token-estimate.
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+- Rendered press context is intentionally capped by `scripts/render_press_context.py` at an `8k` token-estimate budget, but prompt-mode output can still include ranked articles, correlations, divergences, caveats, and telemetry.
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+- The weekly prompt itself injects raw JSON, previous summary, `.squad/identity/wisdom.md`, all `.squad/skills/**/*.md`, analysis instructions, security constraints, and optional press context. This overhead competes with repo evidence for attention.
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+- `analysis_gate.py` is structural: it enforces frontmatter, required headings, word count, placeholder/raw JSON bans, quality score, dates, and repo format. It does not yet validate intermediate faithfulness, mapper contradictions, or claim-level citation integrity.
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+
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+The current failure mode is not only token overflow. It is attention dilution: long raw inputs encourage listing, citation drift, missed required headings, weak press/repo correlation claims, and generic summaries. A map/reduce design should reduce evidence windows and force explicit claim contracts before final prose.
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+
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+## Why a matrix was not used for the crawl
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+
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+The previous crawler analysis supports not using an Actions matrix yet for RSS/source crawling:
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+
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+- New five-source RSS collection took about one second in the observed run; GitHub repo crawl remained about 4m47s.
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+- `scripts/techcrunch_crawler.py` already uses bounded in-process parallel source fetching in the newer pipeline.
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+- Matrix jobs would add checkout/setup/artifact/merge overhead and commit-race complexity without addressing the actual bottleneck.
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+- A matrix becomes justified when source count, source heterogeneity, source-specific credentials/quotas, or p95 external collection latency materially increases.
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+
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+For the PRD, separate **crawl parallelism** from **analysis decomposition**. Matrix crawl is a future topology decision; map/reduce analysis is an editorial reliability strategy.
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+
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+## Candidate map strategies
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+
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+### 1. By editorial topic/category
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+
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+Mappers receive repo slices clustered by topics, languages, descriptions, and prior-week continuity hints. They produce candidate trends, noise patterns, blind spots, and key repos.
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+
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+Pros:
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+- Matches final article structure: macro trends and gaps.
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+- Good for discovering cross-repo patterns inside bounded themes.
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+
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+Cons:
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+- Topic overlap can duplicate repos or split one trend across mappers.
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+- Requires deterministic cluster IDs and repo membership to avoid inconsistent claims.
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+
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+Best use: primary mapper strategy after deterministic clustering.
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+
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+### 2. By signal type: new, trending, news/correlation, prior continuity
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+
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+Separate mappers handle:
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+- `new_repos`: novelty and launch quality.
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+- `trending_repos`: momentum and established anchors.
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+- press/correlation artifact: industry alignment/divergence.
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+- prior summary/history: continuity, reversals, and prediction follow-up.
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+
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+Pros:
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+- Mirrors current input sources and reduces per-call context sharply.
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+- Easier citation provenance because each mapper owns one evidence type.
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+
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+Cons:
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+- Final trends often require combining new + trending + press evidence.
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+- Reducer needs stronger dedupe and conflict logic.
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+
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+Best use: strong baseline because it requires little new clustering machinery.
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+
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+### 3. By source
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+
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+Mappers summarize each external source or source family, preserving source name, URL, article title, date, relevance score, and correlation confidence.
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+
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+Pros:
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+- Keeps source provenance clear.
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+- Prevents TechCrunch/GitHub/NVIDIA/MIT/HF from becoming one flattened press voice.
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+
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+Cons:
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+- Risk of over-weighting press summaries in a GitHub-first analysis.
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+- More LLM calls for relatively small article volume.
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+
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+Best use: only if relevant article volume exceeds the compact press-context budget or source mix becomes heterogeneous.
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+
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+### 4. By repository clusters
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+
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+Deterministically shard repos into clusters by embedding/topic/language/owner/fork-star anomaly patterns, then map each cluster.
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+
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+Pros:
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+- Handles large GitHub raw payloads directly.
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+- Can isolate suspicious clusters such as fork inflation, star farming, exploit churn, or copycat agent repos.
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+
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+Cons:
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+- Needs stable clustering and coverage accounting.
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+- Cluster labels may be misleading if generated by LLM without deterministic support.
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+
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+Best use: second iteration once signal-type mapping proves useful.
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+
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+### 5. Source-specific press summaries before main reduce
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+
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+A deterministic or LLM-assisted press mapper compresses external news into source-aware press claims, then the main reducer joins those claims with repo claims.
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+
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+Pros:
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+- Strong citation preservation if contract is strict.
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+- Keeps `Where Industry Meets Code` from becoming a news roundup.
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+
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+Cons:
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+- Adds hallucination/citation drift risk if source summaries are LLM-generated.
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+- Current compact deterministic press-context path may be enough.
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+
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+Best use: defer unless `*-external-news.json` regularly breaches press context budget.
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+
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+## Recommended architecture
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+
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+### Phase 0 — deterministic preflight
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+
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+Inputs:
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+- sanitized weekly raw JSON,
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+- compact press context from `*-external-news.json` + `*-correlations.json`,
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+- previous summary,
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+- wisdom/skills bundle,
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+- analysis spec and gate constraints.
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+
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+Preflight outputs:
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+- token estimates per input segment,
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+- repo coverage counts and star totals,
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+- source coverage counts/errors,
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+- deterministic clusters or slices,
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+- stable IDs for repos, articles, and candidate evidence groups.
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+
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+### Phase 1 — mappers produce claim ledgers, not prose articles
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+
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+Each mapper receives a bounded evidence slice and returns a strict JSON/markdown-ledger contract. Mappers should not write final publication prose or frontmatter. They should extract:
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+
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+- candidate trend claims,
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+- signal/noise/gap judgments,
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+- evidence repo IDs and article IDs,
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+- confidence and uncertainty,
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+- citation URLs,
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+- contradiction flags,
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+- suggested `Key References` candidates,
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+- token usage/coverage telemetry.
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+
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+### Phase 2 — reducer creates one coherent editorial plan
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+
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+Reducer consumes only mapper ledgers plus compact global metadata. It:
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+
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+- deduplicates candidate claims by normalized claim key/topic/repo/article URL,
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+- merges supporting evidence across mappers,
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+- rejects weak unsupported claims,
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+- resolves contradictions by evidence strength and citation quality,
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+- selects 3-5 macro trends, 2-4 correlations/divergences, 2-4 blind spots, 5-10 repo references, and 3-5 press references,
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+- chooses `title`, `top_repo`, `tags`, `quality_score`, and optional `predictions`,
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+- emits an editorial outline with citation bindings.
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+
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+### Phase 3 — final writer/gate
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+
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+Final writer converts the reducer plan into the exact `docs/analysis-spec.md` output shape:
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+
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+```md
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+## This Week's Trends
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+## Where Industry Meets Code
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+## Signal & Noise
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+## Blind Spots
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+## The Week Ahead
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+## Key References
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+### Notable Projects
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+### Press & Industry
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+```
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+
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+Then `scripts/analysis_gate.py` runs unchanged at first, with future enhancements for evidence/citation checks.
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+
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+## Reducer responsibilities for global coherence
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+
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+The reducer is the only stage allowed to create final reader-facing prose. It must:
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+
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+- preserve one editorial voice and avoid mapper-by-mapper seams;
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+- maintain a single global thesis and title;
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+- avoid duplicate claims by normalizing repo full names, article URLs, topic labels, and claim keys;
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+- keep every repository mention renderable as `[owner/repo](https://github.com/owner/repo)`;
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+- keep every press claim backed by retained article citations;
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+- distinguish strong correlations from weak/category/fuzzy matches;
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+- retain source caveats from external-news metadata;
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+- keep `repos_featured` and `stars_tracked` tied to deterministic preflight totals rather than mapper estimates;
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+- satisfy `analysis_gate.py` frontmatter/headings/body constraints.
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+
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+## Concrete mapper output contract
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+
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+Suggested `analysis_map_v1` object:
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+
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+```json
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+{
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+ "schema_version": "analysis_map_v1",
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+ "week": "YYYY-WNN",
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+ "slice": {
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+ "id": "signal-type:new-repos",
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+ "strategy": "signal_type|topic|source|repo_cluster",
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+ "input_token_estimate": 12000,
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+ "repo_count": 42,
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+ "article_count": 0
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+ },
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+ "coverage": {
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+ "repo_ids_seen": ["owner/repo"],
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+ "article_urls_seen": ["https://example.com/article"],
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+ "excluded_reason_counts": {"low_relevance": 3}
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+ },
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+ "claims": [
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+ {
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+ "claim_id": "stable-hash-or-slug",
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+ "claim_type": "trend|signal|noise|gap|press_correlation|press_divergence|continuity",
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+ "headline": "Short claim label",
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+ "summary": "One or two sentences, evidence-bound.",
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+ "evidence_repos": [
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+ {
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+ "full_name": "owner/repo",
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+ "url": "https://github.com/owner/repo",
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+ "role": "anchor|supporting|counterexample",
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+ "stars": 123,
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+ "stars_gained": null,
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+ "evidence_note": "Why this repo supports the claim"
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+ }
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+ ],
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+ "evidence_articles": [
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+ {
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+ "title": "Article title",
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+ "url": "https://example.com/article",
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+ "source": "TechCrunch",
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+ "published_at": "2026-06-01",
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+ "role": "corroborates|diverges|context",
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+ "correlation_strength": "strong|weak|none"
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+ }
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+ ],
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+ "confidence": 0.72,
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+ "uncertainties": ["stars_gained missing for most trending repos"],
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+ "quality_flags": ["possible_duplicate", "weak_citation", "needs_reducer_review"]
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+ }
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+ ],
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+ "reference_candidates": {
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+ "notable_projects": ["owner/repo"],
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+ "press_articles": ["https://example.com/article"]
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+ }
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+}
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+```
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+
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+## Concrete reducer input/output contract
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+
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+Reducer input:
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+
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+```json
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+{
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+ "schema_version": "analysis_reduce_input_v1",
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+ "week": "YYYY-WNN",
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+ "run_datetime": "ISO-8601",
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+ "global_totals": {
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+ "repos_featured": 449,
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+ "stars_tracked": 123456,
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+ "new_repo_count": 213,
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+ "trending_repo_count": 236
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+ },
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+ "source_coverage": {
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+ "sources_requested": ["techcrunch", "github_blog"],
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+ "sources_succeeded": ["techcrunch"],
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+ "sources_failed": ["github_blog"]
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+ },
2827
+ "maps": ["analysis_map_v1 objects"]
2828
+}
2829
+```
2830
+
2831
+Reducer output should be an editorial plan before prose:
2832
+
2833
+```json
2834
+{
2835
+ "schema_version": "analysis_editorial_plan_v1",
2836
+ "title": "Punchy headline",
2837
+ "summary": "One-sentence thesis",
2838
+ "top_repo": "owner/repo",
2839
+ "tags": ["ai", "developer-tools", "security"],
2840
+ "selected_claims": [
2841
+ {
2842
+ "claim_id": "...",
2843
+ "section": "This Week's Trends|Where Industry Meets Code|Signal & Noise|Blind Spots|The Week Ahead",
2844
+ "merged_from": ["mapper-claim-id"],
2845
+ "citation_bindings": {
2846
+ "repos": ["owner/repo"],
2847
+ "articles": ["https://example.com/article"]
2848
+ }
2849
+ }
2850
+ ],
2851
+ "key_references": {
2852
+ "notable_projects": ["owner/repo"],
2853
+ "press_articles": ["https://example.com/article"]
2854
+ },
2855
+ "rejected_claims": [
2856
+ {"claim_id": "...", "reason": "duplicate|unsupported|contradicted|weak_citation"}
2857
+ ],
2858
+ "quality_notes": ["Caveat missing stars_gained in trend section"]
2859
+}
2860
+```
2861
+
2862
+The final writer then emits only markdown conforming to the existing spec.
2863
+
2864
+## Risks
2865
+
2866
+- Mapper contradiction: two mappers may classify the same repo as signal and noise. Reducer needs explicit conflict resolution and rejected-claim logging.
2867
+- Citation drift: if mappers paraphrase article claims without preserving URLs/source/date, the final summary may cite the wrong article or overstate correlation.
2868
+- Duplicate claims: topic and signal-type mappers may independently discover the same pattern.
2869
+- Quality gate complexity: structural gate is simple today; claim-ledger validation, citation coverage, and contradiction checks add test and maintenance burden.
2870
+- Cost/token growth: multiple smaller LLM calls can exceed one large call if slices overlap or include repeated instructions/history.
2871
+- Runtime: parallel mapper calls help wall-clock time only if model/API concurrency is available and reliable.
2872
+- Editorial voice loss: mapper prose can create a patchwork article unless final prose is written by one reducer/writer pass.
2873
+- Over-pruning: small slices may miss weak cross-cluster patterns that only appear globally.
2874
+- Failure policy: partial mapper failure could bias coverage unless reducer sees missing-slice telemetry and either degrades explicitly or falls back.
2875
+- Prompt injection surface: every mapper still ingests untrusted repo/news text and must keep untrusted-content boundaries.
2876
+
2877
+## Evaluation metrics
2878
+
2879
+### Token and runtime metrics
2880
+
2881
+- Total prompt token-estimate by stage: preflight, each mapper, reducer, final writer.
2882
+- Maximum per-call token-estimate and p95 per-call token-estimate.
2883
+- Total generated tokens and total model calls.
2884
+- End-to-end wall-clock time versus current single-call path.
2885
+- Cost per successful weekly analysis and cost per fallback/retry.
2886
+
2887
+### Quality and faithfulness metrics
2888
+
2889
+- `analysis_gate.py` pass rate.
2890
+- Required section/headings/frontmatter pass rate.
2891
+- Citation coverage: percentage of repo/article claims with retained citations.
2892
+- Claim support: percentage of final claims traceable to mapper evidence IDs.
2893
+- Hallucination/unsupported-claim count from automated or human review.
2894
+- Duplicate claim count before/after reduce.
2895
+- Contradiction count and reducer resolution rate.
2896
+- Press correlation accuracy: strong vs weak labels preserved correctly.
2897
+- Editorial quality score from Farnsworth/Leela rubric: synthesis, specificity, skepticism, blind spots, and voice.
2898
+
2899
+### Stability metrics
2900
+
2901
+- Rerun stability: overlap in selected top trends/repos/press references across repeated runs with same inputs.
2902
+- Title/top_repo stability across repeated runs.
2903
+- Sensitivity to mapper ordering.
2904
+- Missing-slice degradation behavior.
2905
+
2906
+## Non-goals for initial PRD
2907
+
2908
+- Do not replace the weekly `docs/analysis-spec.md` output contract.
2909
+- Do not make each mapper produce publishable prose.
2910
+- Do not split the crawl into an Actions matrix as part of the analysis map/reduce MVP unless separate performance evidence justifies it.
2911
+- Do not include raw article dumps or raw correlation dumps in final analysis prompts.
2912
+- Do not let weak/category-only correlations become strong claims without corroboration.
2913
+- Do not optimize for maximum recall at the expense of citation integrity and editorial judgment.
2914
+- Do not require new paid services, embeddings infrastructure, or vector databases for MVP.
2915
+- Do not publish map/reduce output until it passes the existing gate and a new evidence-contract validator.
2916
+
2917
+## Guardrails for MVP
2918
+
2919
+- Feature flag the map/reduce path; preserve the current single-call/fallback path.
2920
+- Keep deterministic preflight totals authoritative for `repos_featured`, `stars_tracked`, source status, and citation inventories.
2921
+- Wrap all repo/news evidence as untrusted data in every mapper prompt.
2922
+- Limit mapper output to structured claims with evidence IDs, not final prose.
2923
+- Run final `analysis_gate.py` unchanged initially, then add a separate mapper/reducer contract validator.
2924
+- Require a human review comparison against the single-call output for the first several weeks.
2925
+- Treat no-AI/data-only fallback as the terminal reliability fallback if mapper/reducer calls fail.
2926
+
2927
+## Acceptance criteria
2928
+
2929
+1. Given the same weekly raw GitHub JSON and compact press context, the map/reduce experiment produces a final markdown summary that passes `scripts/analysis_gate.py`.
2930
+2. Every final repo mention resolves to a repo seen in preflight or mapper coverage and is rendered as a proper GitHub markdown link.
2931
+3. Every final press claim cites an article URL retained in source coverage or press context.
2932
+4. The reducer emits a rejected-claims/conflicts ledger for audit, even if not published.
2933
+5. The final article contains 3-5 coherent macro trends, explicit signal/noise judgment, useful blind spots, and a single editorial voice.
2934
+6. The map/reduce path demonstrates lower max per-call token-estimate than the current single-call prompt, with measured total cost/runtime reported.
2935
+7. Reruns on identical input are stable enough for publication: same top_repo or documented reason for change, and at least 70% overlap in selected key references.
2936
+8. Partial mapper failure either retries that slice or marks the final output as degraded; it must not silently omit a source/category.
2937
+9. Existing single-call and no-AI fallback paths remain available until map/reduce beats them on gate pass rate, citation coverage, and human editorial review.
2938
+
2939
+---
2940
+
2941
+# Fry QA input — matrix crawl + map/reduce analysis PRD
2942
+
2943
+Date: 2026-06-05T18:15:23Z
2944
+Requested by: jmservera
2945
+Owner: Fry / QA
2946
+
2947
+## QA position
2948
+
2949
+A matrix is not automatically faster for the current crawl. Prior evidence shows the external RSS stage is about one second, while GitHub search/repo crawling dominates and already approaches the tighter Search API budget. The PRD should treat matrix crawl as a measured experiment: first make artifacts merge-ready and deterministic, then fan out only workloads with independent latency, retry, and quota profiles.
2950
+
2951
+Map/reduce analysis is worth ideating because it can shrink per-model context and isolate failures, but it must not weaken the existing analysis contract. The reducer's final markdown must still pass `scripts/analysis_gate.py`, preserve repo/news citations, produce the current frontmatter shape, and keep the existing Copilot -> GitHub Models -> no-AI fallback path viable.
2952
+
2953
+## PRD-ready QA gates
2954
+
2955
+### 1. Matrix crawl fan-out/fan-in
2956
+
2957
+Required gates before default-on:
2958
+
2959
+- **Deterministic run context:** every leg receives the same `week`, `since`, `until`, source config revision, topic config revision, and run id. No leg may compute its own week window from local wall clock except via a shared generated context artifact.
2960
+- **Per-leg artifact contract:** each leg writes exactly one JSON artifact with `{schema_version, run_id, week, since, until, leg_id, source_type, started_at, finished_at, duration_seconds, status, payload, errors, metrics, checksum}`.
2961
+- **Fan-in determinism:** merge output must be byte-stable for the same inputs: canonical ordering, deterministic dedupe keys, stable error ordering, and a checksum recorded in metadata.
2962
+- **Partial failure semantics:** required legs fail the workflow; optional legs degrade with explicit `status=failed` artifacts and a minimum-source-success gate.
2963
+- **Retry behavior:** retry only failed optional legs when possible; fan-in must distinguish first-attempt failure, retry success, and terminal failure. A rerun must not double-count articles/repos.
2964
+- **Cache consistency:** cache keys include query/source config, week window, and schema version. Stale cache use must be marked in metadata and never silently mix different windows.
2965
+- **Rate-limit safety:** GitHub-query fan-out must be capped by search quota remaining and secondary-rate-limit backoff. RSS/API legs need per-host concurrency limits and timeout/retry ceilings.
2966
+- **Artifact compatibility:** downstream analysis consumes one canonical raw payload and one canonical external-news payload regardless of matrix vs single-process collection.
2967
+
2968
+### 2. Map/reduce analysis
2969
+
2970
+Required gates before default-on:
2971
+
2972
+- **Mapper schema validation:** each mapper emits structured JSON, not prose-only markdown: `{schema_version, run_id, week, shard_id, input_refs, findings[], citations[], token_estimate, model, status, errors}`.
2973
+- **Finding shape:** each finding includes `claim`, `evidence_refs`, `confidence`, `category`, `source_type`, `repo_full_name?`, `news_url?`, and `contra_refs[]`.
2974
+- **Citation preservation:** reducer must be able to trace every final claim to repo URLs, raw payload paths, and news URLs. Missing or malformed citations fail reducer validation.
2975
+- **Reducer behavior:** reducer must dedupe equivalent findings, surface contradictions instead of hiding them, prefer higher-confidence/evidence-backed findings, and record rejected/merged finding IDs in a sidecar.
2976
+- **Contradiction tests:** contradictory mapper outputs must either resolve with documented rationale or appear in the final analysis as uncertainty/blind spot; they must not disappear silently.
2977
+- **Duplicate tests:** duplicate repo/news claims across shards must collapse to one final claim without losing all citations.
2978
+- **Gate compatibility:** final markdown must pass `analysis_gate.py` unchanged unless the PRD explicitly extends the gate. Frontmatter, headings, week/date, predictions, and no-placeholder rules still apply.
2979
+- **Fallback compatibility:** if any map/reduce stage cannot produce a valid final summary, the pipeline must still try the current single-pass/GitHub Models/no-AI fallback path.
2980
+
2981
+## Test matrix
2982
+
2983
+| Area | Scenario | Expected QA outcome |
2984
+| --- | --- | --- |
2985
+| Crawl context | All legs receive shared generated week window | Artifacts have identical `week/since/until/run_id`; mismatch fails fan-in |
2986
+| Crawl determinism | Same fixture artifacts merged twice | Identical merged JSON bytes/checksum |
2987
+| Crawl optional failure | One RSS/source leg times out | Workflow continues if minimum source threshold met; error recorded; analysis sees canonical artifact |
2988
+| Crawl required failure | GitHub raw repo leg fails | Analyze does not run; notify-failure path catches pipeline failure |
2989
+| Crawl retry | Failed optional leg succeeds on retry | Final metadata records retry count and no duplicate payload entries |
2990
+| Crawl cache | Stale cache restored for wrong week/config | Fan-in rejects or marks unusable; no silent mixed-window output |
2991
+| Crawl rate limit | Search quota near floor | GitHub fan-out throttles or skips risky fan-out; no uncontrolled parallel search bursts |
2992
+| No news data | External-news artifact absent or empty | Press context says no press data; analysis gate can still pass |
2993
+| Mapper schema | Mapper emits malformed JSON/prose | Reducer rejects mapper artifact and records mapper failure |
2994
+| Mapper failure | One mapper exits non-zero | Required shard fails workflow or optional shard degrades by configured policy; reducer cannot silently omit |
2995
+| Duplicate findings | Same repo trend in two shards | Reducer emits one finding with combined citations |
2996
+| Contradictions | One mapper says trend is signal, another says noise | Reducer records rationale or uncertainty; contradiction sidecar includes both sources |
2997
+| Citation loss | Reducer final claim lacks source refs | Reducer validation fails before `analysis_gate.py` |
2998
+| Over-budget context | Single reducer input exceeds token budget | Reducer switches to hierarchical reduce or fails to fallback before spending unbounded tokens |
2999
+| Week mismatch | Mapper output `week` differs from raw payload | Reducer rejects artifact |
3000
+| Token spike | Mapper/reducer token estimate exceeds budget threshold | Dry-run blocks default path; metrics identify model/stage/shard |
3001
+| Gate regression | Final summary missing heading or generic title | Existing `analysis_gate.py` fails and fallback path is exercised |
3002
+
3003
+## Failure modes to require in PRD
3004
+
3005
+- One matrix leg fails: fan-in runs with `if: always()` for diagnostics, but publish/analyze only continue if required artifacts exist and optional-source thresholds pass.
3006
+- One mapper fails: reducer must not hide it; either fail the map/reduce path or explicitly degrade based on shard criticality, then fallback to single-pass/no-AI if final gate fails.
3007
+- No news data: treated as valid degraded input, not a crash; final summary uses existing "No press data" behavior.
3008
+- Over-budget context: preflight estimates for each mapper, reducer, and aggregate final prompt; hard fail or hierarchical reduce before model invocation.
3009
+- Stale cache: cache metadata includes created_at, week window, source config checksum, and schema version; stale use is observable and bounded.
3010
+- Inconsistent week windows: fan-in/reducer reject mixed `week/since/until` artifacts.
3011
+- Token/cost spikes: per-shard and total token ledger records estimates/actuals; alert if p95 or per-run cost exceeds threshold.
3012
+
3013
+## Observability requirements
3014
+
3015
+Minimum notices/metrics per run:
3016
+
3017
+- Per crawl leg: `leg_id`, source name/type, status, start/end/duration, item count, relevant count, dedupe count, artifact size, checksum, cache hit/stale hit, API calls, retry count, error class.
3018
+- Aggregate crawl: required/optional leg counts, failed leg counts, merged artifact size/checksum, total API calls, rate-limit remaining/reset/resource, cache hit ratio.
3019
+- Per mapper: shard id, input artifact refs/checksums, prompt size, token estimate/actual, model/source, duration, output size, finding count, citation count, quality/schema validation result.
3020
+- Reducer: input shard count, failed/skipped shard count, duplicate count, contradiction count, final prompt/output tokens, duration, model/source, final quality gate result.
3021
+- Pipeline path: selected path (`single-pass`, `map-reduce`, `github-models`, `no-ai`), fallback reason, and final `analysis_gate` outcome.
3022
+
3023
+## Rollout plan and acceptance thresholds
3024
+
3025
+1. **Design-only contract:** define artifact schemas and validators; do not change default workflow path.
3026
+2. **Local fixture dry-run:** run fan-in and map/reduce reducer on deterministic fixtures with no network/model calls.
3027
+3. **CI dry-run mode:** add non-publishing matrix/map-reduce jobs that upload artifacts and metrics but keep single-pass analysis as source of truth.
3028
+4. **A/B comparison:** for at least 4 weekly runs, compare current single-pass vs map/reduce outputs for gate pass rate, citation preservation, token use, cost, duration, and human review quality.
3029
+5. **Default switch only if thresholds pass:**
3030
+ - 100% final `analysis_gate.py` pass rate in dry-run comparison.
3031
+ - 0 missing required citations in reducer validation.
3032
+ - No increase in failed weekly publishes.
3033
+ - >=25% reduction in analysis prompt tokens or >=20% reduction in analysis wall time, without quality regression.
3034
+ - Crawl matrix only enabled if measured crawl stage p95 improves by >=20% or it materially improves retry isolation for sources with real failure/latency.
3035
+ - Token/cost per run stays within agreed budget and has alerts before hard overrun.
3036
+6. **Guarded rollout:** workflow_dispatch flag first, then scheduled dry-run, then default-on with single-pass fallback retained for at least one release cycle.
3037
+
3038
+## Local and CI validation needed
3039
+
3040
+Local validation:
3041
+
3042
+- Unit tests for artifact schemas, fan-in merge determinism, dedupe ordering, cache metadata rejection, and failure classification.
3043
+- Unit tests for mapper schema validator, reducer dedupe/contradiction handling, citation preservation, week-window rejection, and token-budget preflight.
3044
+- Existing focused tests should remain green: `tests/test_crawl.py`, `tests/test_techcrunch_crawler.py`, `tests/test_pipeline.py`, `tests/test_analysis_gate.py`, `tests/test_analyze_fallback.py`, `tests/test_track_token_usage.py`, `tests/test_preflight_cost_check.py`, `tests/test_render_press_context.py`, `tests/test_correlate.py`.
3045
+
3046
+CI validation:
3047
+
3048
+- Matrix dry-run job with fixture legs and one forced optional failure.
3049
+- Fan-in job using `if: always()` that publishes diagnostics artifacts even on failed legs.
3050
+- Map/reduce dry-run job that compares reducer output to single-pass output but does not publish.
3051
+- Quality gate runs on final reducer markdown and fallback markdown.
3052
+- Token/cost ledger checks include mapper/reducer stages and enforce budget alerts.
3053
+- Rebuild mode validation hydrates canonical merged artifacts and does not depend on per-leg artifacts being present forever.
3054
+
3055
+---
3056
+
3057
+# Leela decision input — matrix crawl + map/reduce analysis PRD
3058
+
3059
+Date: 2026-06-05T17:42:56.819+00:00
3060
+Owner: Leela / Lead
3061
+Artifact: `docs/PRD-matrix-crawl-map-reduce-analysis.md`
3062
+
3063
+## Decision recommendation
3064
+
3065
+Do not enable a crawl matrix by default. The recent implementation correctly avoided it because five-source RSS collection is about one second and already uses bounded in-process parallelism, while GitHub crawling is dominated by API/cache/rate-limit behavior that matrix fan-out could make worse.
3066
+
3067
+Make crawl artifacts matrix-ready through shared run context, schema validation, checksums, deterministic fan-in, and observability. Gate RSS matrix on source count/runtime/isolation triggers. Gate GitHub matrix on a no-publish shard experiment that proves >=25% crawl speedup with <=10% API-call growth and no secondary-rate-limit regression.
3068
+
3069
+Adopt map/reduce only as an analysis experiment for LLM context and quality. Mappers should emit structured claim ledgers with citations, confidence, contradictions, and coverage. The reducer should own dedupe, citation preservation, contradiction handling, editorial coherence, and final `analysis_gate.py` compliance.
3070
+
3071
+## Follow-up needed
3072
+
3073
+- Baseline crawl/analyze p50/p95 and token/cost metrics across multiple runs.
3074
+- Define artifact and mapper/reducer JSON schemas plus validators.
3075
+- Run map/reduce in dry-run A/B mode before publication eligibility.
3076
+- Keep single-pass/GitHub Models/no-AI fallback until map/reduce beats current quality and reliability gates.
3077
+
3078
+---
3079
+
3080
+# Bender run 27030646485 log review
3081
+
3082
+Date: 2026-06-05T17:42:56Z
3083
+Run: https://github.com/jmservera/SquadScope/actions/runs/27030646485
3084
+
3085
+## Findings
3086
+
3087
+- Workflow completed successfully, but success came through the no-AI fallback path.
3088
+- Crawl job was healthy: `Run crawler` took ~4m30s, used 455 GitHub API calls, found 213 new repos and 236 trending repos, with 0 cache hits.
3089
+- External news behaved correctly at current scale: 5/5 sources succeeded in ~1s total, 39 articles, 23 relevant, 0 deduped, checksum `ebe382a11c0b...`.
3090
+- Per-source external news telemetry was present in logs and artifact metadata: source names, hosts, attempts, durations, article counts, relevant counts, GitHub-link counts, errors, config checksum, and artifact checksum.
3091
+- Correlation/press-context generation succeeded before analysis: 50 correlations from 449 repos; 9 strong and 41 weak; press context 32,765 bytes / ~7,991 token estimate.
3092
+- Analysis was the runtime and reliability concern: three Copilot attempts took ~28m41s and failed quality gates; the fallback GitHub Models request failed with `no_access` for `openai/gpt-4o`; data-only no-AI output passed the gate.
3093
+- Quality-gate failures were actionable:
3094
+ - attempts 1 and 2: `date must match the current run timestamp`;
3095
+ - attempt 3: invalid `predictions[*].claim_type` values plus the date mismatch.
3096
+- Token telemetry showed the analysis path estimated 112,911 input tokens / 119,620 total tokens, while the pre-flight check estimated 74,318 input tokens before full rendered prompt accounting.
3097
+- Non-blocking platform warning: GitHub Actions reported Node.js 20 actions deprecation for checkout/download/upload/setup/deploy actions.
3098
+
3099
+## Directional read
3100
+
3101
+This run supports the current PRD direction to keep external RSS in-process until scale/isolation thresholds are met. RSS is still not the speed bottleneck; the critical path is now analysis duration, prompt size, and retry waste. It also supports deterministic merge/press-context fan-in over LLM map-reduce for now: compact press context worked, but the full analysis prompt is still too large and brittle.
3102
+
3103
+## Recommendations
3104
+
3105
+1. Treat analysis compaction/retry control as higher priority than crawler matrixing.
3106
+2. Add or refine telemetry so pre-flight token estimates match the final prompt/token ledger, including press context and rendered instructions.
3107
+3. Consider failing faster on repeated deterministic gate failures such as timestamp mismatch and invalid enum values, or patch/sanitize those fields before retrying.
3108
+4. Gate Copilot retry count or switch earlier to no-AI/data-only when attempts exceed a duration budget.
3109
+5. Resolve the `openai/gpt-4o` GitHub Models access/config mismatch, or configure an accessible fallback model.
3110
+6. Track the Node.js 20 Actions deprecation, but it is not run-specific or urgent compared with analysis reliability.
3111
+
3112
+## Issue recommendation
3113
+
3114
+Do not open a separate crawler/RSS matrix issue from this run. The existing PRD/issue direction is enough for external-news telemetry and fan-in. If a new issue is opened, make it about analysis critical-path reduction and fallback model access, not crawler parallelism.
3115
+
3116
+---
3117
+
3118
+## Scribe: 2026-06-05T18:27:00Z — Merged PRD/run-review decision inputs
3119
+
3120
+**Action:** Merged 5 decision inbox files into decisions.md:
3121
+- bender-matrix-crawl-prd-input.md (Bender: matrix crawl and fan-in/fan-out design options)
3122
+- farnsworth-map-reduce-analysis-prd-input.md (Farnsworth: analysis map/reduce architecture)
3123
+- fry-matrix-mapreduce-qa-prd-input.md (Fry QA: PRD-ready gates and test matrix)
3124
+- leela-matrix-mapreduce-prd.md (Leela: decision recommendation summary)
3125
+- bender-run-27030646485-log-review.md (Bender: run analysis and directional findings)
3126
+
3127
+**Outcome:** decisions.md grew from 45948 → 91562 bytes. Inbox purged. No duplicates found in merge. Added 5 decision dividers. Content addresses crawl matrix topology, analysis map/reduce experiment design, QA gates/tests, run diagnostics, and fallback strategy.
3128
+
3129
+**No archiving trigger:** decisions.md is still within typical document lifecycle size; existing PRD scope is fresh and actionable.
3130
+
3131
+---
3132
+
3133
+## Leela: Analysis rerun safety issue plan
3134
+
3135
+Created: 2026-06-05T20:46:00.582+00:00
3136
+
3137
+### Parent epic
3138
+
3139
+- #248 — [Protect published weekly analysis from unsafe reruns](https://github.com/jmservera/SquadScope/issues/248)
3140
+
3141
+### Immediate objective
3142
+
3143
+Stop failed, degraded, low-quality, or no-AI analysis reruns from overwriting a good published weekly article. This protection should land before map/reduce implementation changes can affect publication.
3144
+
3145
+### Child issues hierarchy
3146
+
3147
+**P0 Safety Layer (11 issues):**
3148
+- #249 — Add candidate staging and publish eligibility manifest for analysis outputs | Bender | type:feature, priority:p0
3149
+- #250 — Preserve existing good weekly analysis on failed/degraded reruns | Bender | type:feature, priority:p0
3150
+- #251 — Block no-AI fallback from replacing AI-authored weekly summaries by default | Farnsworth | type:feature, priority:p0, rai
3151
+- #252 — Add explicit safe rerun modes and restore workflow controls | Leela | type:feature, priority:p0
3152
+- #253 — Add immutable backups and publish-branch concurrency safeguards | Bender | type:feature, priority:p0
3153
+- #254 — Make weekly promotion atomic across analyzed/content/deploy/notify | Bender | type:feature, priority:p0
3154
+- #255 — Strengthen analysis publish gate beyond structural validation | Farnsworth | type:feature, priority:p0, rai
3155
+- #257 — Add overwrite-protection and rerun idempotency regression tests | Fry | type:feature, priority:p0
3156
+
3157
+**P1 Quality/Run Readiness (2 issues):**
3158
+- #256 — Add preflight compaction and fallback policy for next analysis run | Farnsworth | type:feature, priority:p1
3159
+- #259 — Document safe rerun, force-replace, and restore operations | Leela | type:docs, priority:p1
3160
+
3161
+**P2 Future Analysis Architecture (1 issue):**
3162
+- #258 — Add map/reduce dry-run with claim-ledger contracts and QA comparison gates | Farnsworth with Fry QA support | type:feature, priority:p2, rai
3163
+
3164
+### Summary
3165
+
3166
+Safety-first protection layer for analysis reruns across staging/publish workflow. Prevents silent overwrite of good weekly articles on transient failures, low-quality output, or no-AI fallback misuse. Prioritizes atomic promotion, eligibility gates, and immutable backups before rolling out map/reduce.
3167
+
3168
+### Notes
3169
+
3170
+GitHub issue hierarchy represented via parent #248 with linked child issues and inline comments. All issues labeled `squad` with per-owner tracking.
.squad/decisions.md
+238
-839
@@ -1,842 +1,3 @@
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-# Leela — Issue hierarchy refresh for safe weekly analysis reruns
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-- Date: 2026-06-05T21:03:35.661+00:00
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-- Lead: Leela
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-- Parent epic: #248
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-- New child: #261
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-## Product north star
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-SquadScope's core product is high-quality AI trend analysis and article generation. Crawling and scrape artifacts are supporting evidence systems: they should improve freshness, provenance, and analysis reliability, but they are not the product focus.
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-## Immediate safety objective
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-Bad, failed, degraded, stale-evidence-backed, or no-AI fallback reruns must not overwrite a previously good weekly article. A good AI-authored weekly article remains the default last-known-good artifact unless an explicit, audited force/restore path is selected.
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-## Final hierarchy
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-- #248 — Parent epic: protect published weekly analysis from unsafe reruns and state the AI analysis/article-generation north star.
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-- #249 — Candidate staging and publish eligibility manifest, including AI provenance, source artifact provenance, freshness/reuse, and gate results.
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-- #250 — Preserve existing good weekly analysis on failed/degraded/no-AI/stale-evidence reruns.
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-- #251 — Block no-AI fallback from replacing AI-authored weekly summaries by default.
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-- #252 — Explicit safe rerun modes and restore controls; normal reruns reuse valid same-day source artifacts and process only missing/stale sources.
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-- #253 — Immutable backups and publish-branch concurrency safeguards with source provenance preserved.
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-- #254 — Atomic weekly promotion across analyzed artifacts, content, deploy, and notifications.
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-- #255 — Stronger analysis publish gate beyond structural validation, focused on editorial/evidence/provenance quality.
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-- #256 — Deterministic preflight compaction and fallback policy, aligned to future signal-type map/reduce slices.
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-- #257 — Overwrite-protection, safe-rerun idempotency, same-day reuse, and stale-evidence regression tests.
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-- #258 — Selected signal-type claim-ledger map/reduce dry-run: deterministic preflight; mappers for `new_repos`, `trending_repos`, `press_correlations`, and `prior_continuity`; reducer/editorial planner; one final writer; critic/QA gates.
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-- #259 — Safe rerun, force-replace, restore, no-AI, same-day reuse, and map/reduce dry-run operator docs.
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-- #261 — Reuse successful same-day source scrape artifacts on rerun, with per-source reuse, missing/stale detection, freshness/date guard, deterministic fan-in/dedupe, and artifact provenance.
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-## Rationale
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-The hierarchy now prioritizes analysis safety and generated article quality before crawl mechanics. The crawler-related work is framed as evidence freshness and provenance, especially avoiding redundant same-day source scrapes while still detecting missing or stale sources. The map/reduce work is no longer a broad exploration: it is explicitly the signal-type claim-ledger architecture from the PRD and remains dry-run until safety, publish, and QA gates are complete.
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-## GitHub changes made
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-- Edited #248-#259 to clarify priorities, dependencies, and acceptance criteria.
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-- Created #261 for same-day source scrape artifact reuse.
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-- Added parent comment on #248 linking #261 and summarizing the refreshed hierarchy.
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-- Added child comment on #261 linking it back to #248.
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----
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-### 2026-06-05T21:01:05.160+00:00: User directive — Product focus
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-**By:** jmservera (via Copilot)
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-**What:** SquadScope is not a scraper; the core purpose is AI analytics and article generation. The product should prioritize trend analysis quality and generated articles over crawl mechanics.
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-**Why:** User request — captured for team memory
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----
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-### 2026-06-05T21:02:36.076+00:00: User directive — Same-day source reuse
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-**By:** jmservera (via Copilot)
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-**What:** Do not repeat successful scraping jobs for the same source on the same day. If a source has already been scraped successfully today, reruns should reuse the latest same-day scrape for that source and continue with the next missing or stale source.
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-**Why:** User request — captured for team memory
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----
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-# Fry: quality gate fallback hardening
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----
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-# Leela — PR review gate follow-up
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-- Date: 2026-06-01
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-- Context: Round review of PR #218 and PR #219 showed both branches were opened by `jmservera`, which means the current GitHub identity cannot submit an approving review on them.
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-- Decision: Do not bypass the review gate on self-authored pull requests. Treat independent approval as still required before merging branches opened by the same account Leela is operating under.
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-- Why: GitHub blocks self-approval, and preserving the review gate matters more than forcing a merge from the lead seat.
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-# Amy — Topic buttons follow-up
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-- Date: 2026-06-01
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-- Context: Issue #216 mobile topic buttons regression
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-- Proposal: Keep topic discovery centered on `/topics/`, remove the global header topic shortcut strip, and hide per-report topic chips on screens up to 768px while leaving desktop topic browsing available through the homepage rail and Topics page.
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-- Why: The repeated chip rows were consuming too much vertical space on mobile and duplicated navigation that already exists in the primary menu.
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----
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-# Fry: quality gate fallback hardening
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-# Fry — generate-step failure handling
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-# Amy — Share button implementation
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-# Farnsworth — Hindsight validation decision
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-# Fry — Generate-step failure handling
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-# Farnsworth hindsight validation decision
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-# Fry QA triage decision
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-# Leela: Close unverifiable W23 growth execution
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-# Fry PR #236 QA Review
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-# Hermes security review — PR #236 external RSS feeds
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-# PR #236 security unblock
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-# Bender — Crawler parallelism analysis
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-# Farnsworth: LLM input strategy for multi-source news
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-# Fry QA: crawler reliability and performance next iteration
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-# Leela — crawler next-iteration issue
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-# Bender PR #236 Security Fix
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-## Context
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-Hermes blocked PR #236 because config-driven external RSS sources were fetched directly without egress URL validation or explicit per-request timeouts.
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-## Decision
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-External news RSS source configs now require HTTPS URLs whose host is in the approved feed allowlist, with credentials, local/private/link-local targets, and unexpected ports rejected before crawl. Fetching now goes through `urllib.request.urlopen` with an explicit bounded timeout before handing bytes to `feedparser`, while retaining the existing config-driven source list and bounded in-process worker pool.
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-## Validation
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-Added tests for invalid/unapproved URL rejection and explicit fetch timeout propagation. Ran `PYTHONPATH=. .venv/bin/python -m pytest tests -q` with 563 passing tests.
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-# Leela — Issue 234 external news source architecture
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-# Fry — Issue #238 notify triage
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----
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-# Leela PR #241 Review — Idempotent Weekly Release Notify
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-- Date: 2026-06-05
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-- Context: Issue #238 showed a real rerun failure in `notify`: `gh release create week-2026-W23` returned HTTP 422 because the weekly release already existed.
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-- Decision: Keep weekly release notification idempotent by resolving the weekly tag first, editing an existing `week-*` release with `gh release edit`, and creating only when no release exists.
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-- Review result: Approved in substance. Formal GitHub approval was blocked because the authenticated account is the PR author, so Leela posted an explicit lead approval comment instead of bypassing the review gate.
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-- Validation: `tests/test_pipeline.py` passed locally (9 tests), full `tests` passed locally (563 tests), CodeQL checks were green, and Copilot PR review completed with no comments.
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-- Merge gate: Do not merge from this account until the repository's independent-review requirement for `jmservera`-authored PRs is satisfied.
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-- PR #241 merged at 2026-06-05T17:21:05Z, closing issue #238.
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-# Bender issue #237 implementation
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-# Bender PR #242 Copilot Review Fixes
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-- Keep category/project-name-only press matches weak even when temporally spiking or corroborated by multiple articles/sources.
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-- Pass both `--since` and `--until` from the crawl workflow to preserve deterministic canonical `crawl_window` metadata.
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-- Record bounded fetch attempts and timeout telemetry on `NewsFeedSource` even when `fetch_feed()` raises before returning a feed.
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-- Keep press-context article lookup comments aligned with the actual URL-to-title mapping.
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-- PR #243 merged at 2026-06-05T17:34:18Z.
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-# Leela PR #243 Review
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-- Verdict: approved in substance after independent lead review.
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-- Scope checked: issue #237 acceptance criteria follow-up, PR #242 Copilot comments, PR #243 diff, tests, CodeQL, Copilot review state.
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-- Local validation: clean PR worktree ran `pytest tests -q` with 574 passed.
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-- Formal GitHub approval blocked: the active account is the PR author and GitHub rejected own-PR approval.
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-- Merge gate: wait for an independent non-Bender reviewer/approval unless repository policy explicitly permits merge with the lead approval comment.
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-### 2026-06-05T17:06:31.753+00:00: User directive — Copilot Review Asynchronous Gate
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-**By:** jmservera (via Copilot)
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-**What:** Copilot Review is asynchronous. Before merging a PR, check whether Copilot is still reviewing and do not merge until the review has finished and any review comments are handled.
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-**Why:** User request — captured for team memory
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----
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-# Bender input — crawl matrix and map/reduce PRD
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-# Farnsworth — PRD input: LLM analysis map/reduce
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-Date: 2026-06-05T17:42:56.819+00:00
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-Requested by: jmservera
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-## Recommendation
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-Adopt a staged map/reduce design for the **LLM analysis stage**, but do not start by splitting the raw crawl job into a GitHub Actions matrix for speed alone. Existing evidence says RSS collection is already fast and in-process parallelized, while the GitHub crawl dominates crawl runtime. The stronger reason for map/reduce is **analysis quality and reliability under context pressure**: smaller mapper calls can extract cited, typed claims from bounded evidence windows, and one reducer can preserve the weekly editorial voice and final `docs/analysis-spec.md` contract.
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-Initial PRD should target an experimental path behind a feature flag or dry-run workflow, with deterministic compaction and validation before any generated weekly summary becomes publishable.
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-## Current context pressure
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-Current weekly analysis input is already large before the model writes anything:
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-- GitHub raw crawl is the dominant payload. The W23 multi-source run recorded in `.squad/decisions.md` produced `213` new repos and `236` trending repos, roughly `296 KB` / `74k` token-estimate in raw GitHub JSON.
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-- External news expanded from one TechCrunch feed to five sources. W23 external news was `54` articles / `27` relevant articles, roughly `45.5 KB` / `11.4k` token-estimate.
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-- Rendered press context is intentionally capped by `scripts/render_press_context.py` at an `8k` token-estimate budget, but prompt-mode output can still include ranked articles, correlations, divergences, caveats, and telemetry.
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-- The weekly prompt itself injects raw JSON, previous summary, `.squad/identity/wisdom.md`, all `.squad/skills/**/*.md`, analysis instructions, security constraints, and optional press context. This overhead competes with repo evidence for attention.
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-- `analysis_gate.py` is structural: it enforces frontmatter, required headings, word count, placeholder/raw JSON bans, quality score, dates, and repo format. It does not yet validate intermediate faithfulness, mapper contradictions, or claim-level citation integrity.
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-The current failure mode is not only token overflow. It is attention dilution: long raw inputs encourage listing, citation drift, missed required headings, weak press/repo correlation claims, and generic summaries. A map/reduce design should reduce evidence windows and force explicit claim contracts before final prose.
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-## Why a matrix was not used for the crawl
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-The previous crawler analysis supports not using an Actions matrix yet for RSS/source crawling:
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-- New five-source RSS collection took about one second in the observed run; GitHub repo crawl remained about 4m47s.
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-- `scripts/techcrunch_crawler.py` already uses bounded in-process parallel source fetching in the newer pipeline.
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-- Matrix jobs would add checkout/setup/artifact/merge overhead and commit-race complexity without addressing the actual bottleneck.
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-- A matrix becomes justified when source count, source heterogeneity, source-specific credentials/quotas, or p95 external collection latency materially increases.
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-For the PRD, separate **crawl parallelism** from **analysis decomposition**. Matrix crawl is a future topology decision; map/reduce analysis is an editorial reliability strategy.
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-## Candidate map strategies
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-### 1. By editorial topic/category
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-Mappers receive repo slices clustered by topics, languages, descriptions, and prior-week continuity hints. They produce candidate trends, noise patterns, blind spots, and key repos.
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-Pros:
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-- Matches final article structure: macro trends and gaps.
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-- Good for discovering cross-repo patterns inside bounded themes.
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-Cons:
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-- Topic overlap can duplicate repos or split one trend across mappers.
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-- Requires deterministic cluster IDs and repo membership to avoid inconsistent claims.
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-Best use: primary mapper strategy after deterministic clustering.
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-### 2. By signal type: new, trending, news/correlation, prior continuity
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-Separate mappers handle:
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-- `new_repos`: novelty and launch quality.
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-- `trending_repos`: momentum and established anchors.
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-- press/correlation artifact: industry alignment/divergence.
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-- prior summary/history: continuity, reversals, and prediction follow-up.
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-Pros:
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-- Mirrors current input sources and reduces per-call context sharply.
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-- Easier citation provenance because each mapper owns one evidence type.
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-Cons:
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-- Final trends often require combining new + trending + press evidence.
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-- Reducer needs stronger dedupe and conflict logic.
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-Best use: strong baseline because it requires little new clustering machinery.
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-### 3. By source
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-Mappers summarize each external source or source family, preserving source name, URL, article title, date, relevance score, and correlation confidence.
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-Pros:
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-- Keeps source provenance clear.
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-- Prevents TechCrunch/GitHub/NVIDIA/MIT/HF from becoming one flattened press voice.
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-Cons:
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-- Risk of over-weighting press summaries in a GitHub-first analysis.
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-- More LLM calls for relatively small article volume.
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-Best use: only if relevant article volume exceeds the compact press-context budget or source mix becomes heterogeneous.
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-### 4. By repository clusters
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-Deterministically shard repos into clusters by embedding/topic/language/owner/fork-star anomaly patterns, then map each cluster.
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-Pros:
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-- Handles large GitHub raw payloads directly.
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-- Can isolate suspicious clusters such as fork inflation, star farming, exploit churn, or copycat agent repos.
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-Cons:
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-- Needs stable clustering and coverage accounting.
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-- Cluster labels may be misleading if generated by LLM without deterministic support.
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-Best use: second iteration once signal-type mapping proves useful.
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-### 5. Source-specific press summaries before main reduce
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-A deterministic or LLM-assisted press mapper compresses external news into source-aware press claims, then the main reducer joins those claims with repo claims.
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-Pros:
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-- Strong citation preservation if contract is strict.
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-- Keeps `Where Industry Meets Code` from becoming a news roundup.
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-Cons:
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-- Adds hallucination/citation drift risk if source summaries are LLM-generated.
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-- Current compact deterministic press-context path may be enough.
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-Best use: defer unless `*-external-news.json` regularly breaches press context budget.
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-## Recommended architecture
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-### Phase 0 — deterministic preflight
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-Inputs:
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-- sanitized weekly raw JSON,
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-- compact press context from `*-external-news.json` + `*-correlations.json`,
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-- previous summary,
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-- wisdom/skills bundle,
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-- analysis spec and gate constraints.
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-Preflight outputs:
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-- token estimates per input segment,
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-- repo coverage counts and star totals,
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-- source coverage counts/errors,
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-- deterministic clusters or slices,
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-- stable IDs for repos, articles, and candidate evidence groups.
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-### Phase 1 — mappers produce claim ledgers, not prose articles
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-Each mapper receives a bounded evidence slice and returns a strict JSON/markdown-ledger contract. Mappers should not write final publication prose or frontmatter. They should extract:
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-- candidate trend claims,
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-- signal/noise/gap judgments,
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-- evidence repo IDs and article IDs,
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-- confidence and uncertainty,
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-- citation URLs,
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-- contradiction flags,
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-- suggested `Key References` candidates,
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-- token usage/coverage telemetry.
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-### Phase 2 — reducer creates one coherent editorial plan
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-Reducer consumes only mapper ledgers plus compact global metadata. It:
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-- deduplicates candidate claims by normalized claim key/topic/repo/article URL,
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-- merges supporting evidence across mappers,
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-- rejects weak unsupported claims,
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-- resolves contradictions by evidence strength and citation quality,
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-- selects 3-5 macro trends, 2-4 correlations/divergences, 2-4 blind spots, 5-10 repo references, and 3-5 press references,
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-- chooses `title`, `top_repo`, `tags`, `quality_score`, and optional `predictions`,
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-- emits an editorial outline with citation bindings.
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-### Phase 3 — final writer/gate
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-Final writer converts the reducer plan into the exact `docs/analysis-spec.md` output shape:
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-```md
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-## This Week's Trends
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-## Where Industry Meets Code
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-## Signal & Noise
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-## Blind Spots
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-## The Week Ahead
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-## Key References
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-### Notable Projects
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-### Press & Industry
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-```
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-Then `scripts/analysis_gate.py` runs unchanged at first, with future enhancements for evidence/citation checks.
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-## Reducer responsibilities for global coherence
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-The reducer is the only stage allowed to create final reader-facing prose. It must:
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-- preserve one editorial voice and avoid mapper-by-mapper seams;
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-- maintain a single global thesis and title;
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-- avoid duplicate claims by normalizing repo full names, article URLs, topic labels, and claim keys;
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-- keep every repository mention renderable as `[owner/repo](https://github.com/owner/repo)`;
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-- keep every press claim backed by retained article citations;
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-- distinguish strong correlations from weak/category/fuzzy matches;
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-- retain source caveats from external-news metadata;
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-- keep `repos_featured` and `stars_tracked` tied to deterministic preflight totals rather than mapper estimates;
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-- satisfy `analysis_gate.py` frontmatter/headings/body constraints.
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-## Concrete mapper output contract
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-Suggested `analysis_map_v1` object:
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-```json
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-{
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- "schema_version": "analysis_map_v1",
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- "week": "YYYY-WNN",
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- "slice": {
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- "id": "signal-type:new-repos",
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- "strategy": "signal_type|topic|source|repo_cluster",
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- "input_token_estimate": 12000,
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- "repo_count": 42,
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- "article_count": 0
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- },
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- "coverage": {
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- "repo_ids_seen": ["owner/repo"],
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- "article_urls_seen": ["https://example.com/article"],
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- "excluded_reason_counts": {"low_relevance": 3}
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- },
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- "claims": [
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- {
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- "claim_id": "stable-hash-or-slug",
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- "claim_type": "trend|signal|noise|gap|press_correlation|press_divergence|continuity",
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- "headline": "Short claim label",
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- "summary": "One or two sentences, evidence-bound.",
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- "evidence_repos": [
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- {
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- "full_name": "owner/repo",
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- "url": "https://github.com/owner/repo",
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- "role": "anchor|supporting|counterexample",
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- "stars": 123,
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- "stars_gained": null,
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- "evidence_note": "Why this repo supports the claim"
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- }
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- ],
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- "evidence_articles": [
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- {
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- "title": "Article title",
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- "url": "https://example.com/article",
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- "source": "TechCrunch",
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- "published_at": "2026-06-01",
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- "role": "corroborates|diverges|context",
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- "correlation_strength": "strong|weak|none"
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- }
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- ],
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- "confidence": 0.72,
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- "uncertainties": ["stars_gained missing for most trending repos"],
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- "quality_flags": ["possible_duplicate", "weak_citation", "needs_reducer_review"]
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- }
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- ],
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- "reference_candidates": {
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- "notable_projects": ["owner/repo"],
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- "press_articles": ["https://example.com/article"]
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- }
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-}
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-```
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-## Concrete reducer input/output contract
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-Reducer input:
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-```json
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-{
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- "schema_version": "analysis_reduce_input_v1",
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- "week": "YYYY-WNN",
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- "run_datetime": "ISO-8601",
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- "global_totals": {
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- "repos_featured": 449,
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- "stars_tracked": 123456,
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- "new_repo_count": 213,
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- "trending_repo_count": 236
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- },
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- "source_coverage": {
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- "sources_requested": ["techcrunch", "github_blog"],
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- "sources_succeeded": ["techcrunch"],
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- "sources_failed": ["github_blog"]
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- },
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- "maps": ["analysis_map_v1 objects"]
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-}
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-```
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-Reducer output should be an editorial plan before prose:
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-```json
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-{
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- "schema_version": "analysis_editorial_plan_v1",
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- "title": "Punchy headline",
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- "summary": "One-sentence thesis",
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- "top_repo": "owner/repo",
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- "tags": ["ai", "developer-tools", "security"],
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- "selected_claims": [
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- {
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- "claim_id": "...",
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- "section": "This Week's Trends|Where Industry Meets Code|Signal & Noise|Blind Spots|The Week Ahead",
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- "merged_from": ["mapper-claim-id"],
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- "citation_bindings": {
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- "repos": ["owner/repo"],
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- "articles": ["https://example.com/article"]
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- }
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- }
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- ],
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- "key_references": {
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- "notable_projects": ["owner/repo"],
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- "press_articles": ["https://example.com/article"]
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- },
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- "rejected_claims": [
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- {"claim_id": "...", "reason": "duplicate|unsupported|contradicted|weak_citation"}
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- ],
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- "quality_notes": ["Caveat missing stars_gained in trend section"]
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-}
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-```
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-The final writer then emits only markdown conforming to the existing spec.
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-## Risks
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-- Mapper contradiction: two mappers may classify the same repo as signal and noise. Reducer needs explicit conflict resolution and rejected-claim logging.
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-- Citation drift: if mappers paraphrase article claims without preserving URLs/source/date, the final summary may cite the wrong article or overstate correlation.
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-- Duplicate claims: topic and signal-type mappers may independently discover the same pattern.
538
-- Quality gate complexity: structural gate is simple today; claim-ledger validation, citation coverage, and contradiction checks add test and maintenance burden.
539
-- Cost/token growth: multiple smaller LLM calls can exceed one large call if slices overlap or include repeated instructions/history.
540
-- Runtime: parallel mapper calls help wall-clock time only if model/API concurrency is available and reliable.
541
-- Editorial voice loss: mapper prose can create a patchwork article unless final prose is written by one reducer/writer pass.
542
-- Over-pruning: small slices may miss weak cross-cluster patterns that only appear globally.
543
-- Failure policy: partial mapper failure could bias coverage unless reducer sees missing-slice telemetry and either degrades explicitly or falls back.
544
-- Prompt injection surface: every mapper still ingests untrusted repo/news text and must keep untrusted-content boundaries.
545
-
546
-## Evaluation metrics
547
-
548
-### Token and runtime metrics
549
-
550
-- Total prompt token-estimate by stage: preflight, each mapper, reducer, final writer.
551
-- Maximum per-call token-estimate and p95 per-call token-estimate.
552
-- Total generated tokens and total model calls.
553
-- End-to-end wall-clock time versus current single-call path.
554
-- Cost per successful weekly analysis and cost per fallback/retry.
555
-
556
-### Quality and faithfulness metrics
557
-
558
-- `analysis_gate.py` pass rate.
559
-- Required section/headings/frontmatter pass rate.
560
-- Citation coverage: percentage of repo/article claims with retained citations.
561
-- Claim support: percentage of final claims traceable to mapper evidence IDs.
562
-- Hallucination/unsupported-claim count from automated or human review.
563
-- Duplicate claim count before/after reduce.
564
-- Contradiction count and reducer resolution rate.
565
-- Press correlation accuracy: strong vs weak labels preserved correctly.
566
-- Editorial quality score from Farnsworth/Leela rubric: synthesis, specificity, skepticism, blind spots, and voice.
567
-
568
-### Stability metrics
569
-
570
-- Rerun stability: overlap in selected top trends/repos/press references across repeated runs with same inputs.
571
-- Title/top_repo stability across repeated runs.
572
-- Sensitivity to mapper ordering.
573
-- Missing-slice degradation behavior.
574
-
575
-## Non-goals for initial PRD
576
-
577
-- Do not replace the weekly `docs/analysis-spec.md` output contract.
578
-- Do not make each mapper produce publishable prose.
579
-- Do not split the crawl into an Actions matrix as part of the analysis map/reduce MVP unless separate performance evidence justifies it.
580
-- Do not include raw article dumps or raw correlation dumps in final analysis prompts.
581
-- Do not let weak/category-only correlations become strong claims without corroboration.
582
-- Do not optimize for maximum recall at the expense of citation integrity and editorial judgment.
583
-- Do not require new paid services, embeddings infrastructure, or vector databases for MVP.
584
-- Do not publish map/reduce output until it passes the existing gate and a new evidence-contract validator.
585
-
586
-## Guardrails for MVP
587
-
588
-- Feature flag the map/reduce path; preserve the current single-call/fallback path.
589
-- Keep deterministic preflight totals authoritative for `repos_featured`, `stars_tracked`, source status, and citation inventories.
590
-- Wrap all repo/news evidence as untrusted data in every mapper prompt.
591
-- Limit mapper output to structured claims with evidence IDs, not final prose.
592
-- Run final `analysis_gate.py` unchanged initially, then add a separate mapper/reducer contract validator.
593
-- Require a human review comparison against the single-call output for the first several weeks.
594
-- Treat no-AI/data-only fallback as the terminal reliability fallback if mapper/reducer calls fail.
595
-
596
-## Acceptance criteria
597
-
598
-1. Given the same weekly raw GitHub JSON and compact press context, the map/reduce experiment produces a final markdown summary that passes `scripts/analysis_gate.py`.
599
-2. Every final repo mention resolves to a repo seen in preflight or mapper coverage and is rendered as a proper GitHub markdown link.
600
-3. Every final press claim cites an article URL retained in source coverage or press context.
601
-4. The reducer emits a rejected-claims/conflicts ledger for audit, even if not published.
602
-5. The final article contains 3-5 coherent macro trends, explicit signal/noise judgment, useful blind spots, and a single editorial voice.
603
-6. The map/reduce path demonstrates lower max per-call token-estimate than the current single-call prompt, with measured total cost/runtime reported.
604
-7. Reruns on identical input are stable enough for publication: same top_repo or documented reason for change, and at least 70% overlap in selected key references.
605
-8. Partial mapper failure either retries that slice or marks the final output as degraded; it must not silently omit a source/category.
606
-9. Existing single-call and no-AI fallback paths remain available until map/reduce beats them on gate pass rate, citation coverage, and human editorial review.
607
-
608
----
609
-
610
-# Fry QA input — matrix crawl + map/reduce analysis PRD
611
-
612
-Date: 2026-06-05T18:15:23Z
613
-Requested by: jmservera
614
-Owner: Fry / QA
615
-
616
-## QA position
617
-
618
-A matrix is not automatically faster for the current crawl. Prior evidence shows the external RSS stage is about one second, while GitHub search/repo crawling dominates and already approaches the tighter Search API budget. The PRD should treat matrix crawl as a measured experiment: first make artifacts merge-ready and deterministic, then fan out only workloads with independent latency, retry, and quota profiles.
619
-
620
-Map/reduce analysis is worth ideating because it can shrink per-model context and isolate failures, but it must not weaken the existing analysis contract. The reducer's final markdown must still pass `scripts/analysis_gate.py`, preserve repo/news citations, produce the current frontmatter shape, and keep the existing Copilot -> GitHub Models -> no-AI fallback path viable.
621
-
622
-## PRD-ready QA gates
623
-
624
-### 1. Matrix crawl fan-out/fan-in
625
-
626
-Required gates before default-on:
627
-
628
-- **Deterministic run context:** every leg receives the same `week`, `since`, `until`, source config revision, topic config revision, and run id. No leg may compute its own week window from local wall clock except via a shared generated context artifact.
629
-- **Per-leg artifact contract:** each leg writes exactly one JSON artifact with `{schema_version, run_id, week, since, until, leg_id, source_type, started_at, finished_at, duration_seconds, status, payload, errors, metrics, checksum}`.
630
-- **Fan-in determinism:** merge output must be byte-stable for the same inputs: canonical ordering, deterministic dedupe keys, stable error ordering, and a checksum recorded in metadata.
631
-- **Partial failure semantics:** required legs fail the workflow; optional legs degrade with explicit `status=failed` artifacts and a minimum-source-success gate.
632
-- **Retry behavior:** retry only failed optional legs when possible; fan-in must distinguish first-attempt failure, retry success, and terminal failure. A rerun must not double-count articles/repos.
633
-- **Cache consistency:** cache keys include query/source config, week window, and schema version. Stale cache use must be marked in metadata and never silently mix different windows.
634
-- **Rate-limit safety:** GitHub-query fan-out must be capped by search quota remaining and secondary-rate-limit backoff. RSS/API legs need per-host concurrency limits and timeout/retry ceilings.
635
-- **Artifact compatibility:** downstream analysis consumes one canonical raw payload and one canonical external-news payload regardless of matrix vs single-process collection.
636
-
637
-### 2. Map/reduce analysis
638
-
639
-Required gates before default-on:
640
-
641
-- **Mapper schema validation:** each mapper emits structured JSON, not prose-only markdown: `{schema_version, run_id, week, shard_id, input_refs, findings[], citations[], token_estimate, model, status, errors}`.
642
-- **Finding shape:** each finding includes `claim`, `evidence_refs`, `confidence`, `category`, `source_type`, `repo_full_name?`, `news_url?`, and `contra_refs[]`.
643
-- **Citation preservation:** reducer must be able to trace every final claim to repo URLs, raw payload paths, and news URLs. Missing or malformed citations fail reducer validation.
644
-- **Reducer behavior:** reducer must dedupe equivalent findings, surface contradictions instead of hiding them, prefer higher-confidence/evidence-backed findings, and record rejected/merged finding IDs in a sidecar.
645
-- **Contradiction tests:** contradictory mapper outputs must either resolve with documented rationale or appear in the final analysis as uncertainty/blind spot; they must not disappear silently.
646
-- **Duplicate tests:** duplicate repo/news claims across shards must collapse to one final claim without losing all citations.
647
-- **Gate compatibility:** final markdown must pass `analysis_gate.py` unchanged unless the PRD explicitly extends the gate. Frontmatter, headings, week/date, predictions, and no-placeholder rules still apply.
648
-- **Fallback compatibility:** if any map/reduce stage cannot produce a valid final summary, the pipeline must still try the current single-pass/GitHub Models/no-AI fallback path.
649
-
650
-## Test matrix
651
-
652
-| Area | Scenario | Expected QA outcome |
653
-| --- | --- | --- |
654
-| Crawl context | All legs receive shared generated week window | Artifacts have identical `week/since/until/run_id`; mismatch fails fan-in |
655
-| Crawl determinism | Same fixture artifacts merged twice | Identical merged JSON bytes/checksum |
656
-| Crawl optional failure | One RSS/source leg times out | Workflow continues if minimum source threshold met; error recorded; analysis sees canonical artifact |
657
-| Crawl required failure | GitHub raw repo leg fails | Analyze does not run; notify-failure path catches pipeline failure |
658
-| Crawl retry | Failed optional leg succeeds on retry | Final metadata records retry count and no duplicate payload entries |
659
-| Crawl cache | Stale cache restored for wrong week/config | Fan-in rejects or marks unusable; no silent mixed-window output |
660
-| Crawl rate limit | Search quota near floor | GitHub fan-out throttles or skips risky fan-out; no uncontrolled parallel search bursts |
661
-| No news data | External-news artifact absent or empty | Press context says no press data; analysis gate can still pass |
662
-| Mapper schema | Mapper emits malformed JSON/prose | Reducer rejects mapper artifact and records mapper failure |
663
-| Mapper failure | One mapper exits non-zero | Required shard fails workflow or optional shard degrades by configured policy; reducer cannot silently omit |
664
-| Duplicate findings | Same repo trend in two shards | Reducer emits one finding with combined citations |
665
-| Contradictions | One mapper says trend is signal, another says noise | Reducer records rationale or uncertainty; contradiction sidecar includes both sources |
666
-| Citation loss | Reducer final claim lacks source refs | Reducer validation fails before `analysis_gate.py` |
667
-| Over-budget context | Single reducer input exceeds token budget | Reducer switches to hierarchical reduce or fails to fallback before spending unbounded tokens |
668
-| Week mismatch | Mapper output `week` differs from raw payload | Reducer rejects artifact |
669
-| Token spike | Mapper/reducer token estimate exceeds budget threshold | Dry-run blocks default path; metrics identify model/stage/shard |
670
-| Gate regression | Final summary missing heading or generic title | Existing `analysis_gate.py` fails and fallback path is exercised |
671
-
672
-## Failure modes to require in PRD
673
-
674
-- One matrix leg fails: fan-in runs with `if: always()` for diagnostics, but publish/analyze only continue if required artifacts exist and optional-source thresholds pass.
675
-- One mapper fails: reducer must not hide it; either fail the map/reduce path or explicitly degrade based on shard criticality, then fallback to single-pass/no-AI if final gate fails.
676
-- No news data: treated as valid degraded input, not a crash; final summary uses existing "No press data" behavior.
677
-- Over-budget context: preflight estimates for each mapper, reducer, and aggregate final prompt; hard fail or hierarchical reduce before model invocation.
678
-- Stale cache: cache metadata includes created_at, week window, source config checksum, and schema version; stale use is observable and bounded.
679
-- Inconsistent week windows: fan-in/reducer reject mixed `week/since/until` artifacts.
680
-- Token/cost spikes: per-shard and total token ledger records estimates/actuals; alert if p95 or per-run cost exceeds threshold.
681
-
682
-## Observability requirements
683
-
684
-Minimum notices/metrics per run:
685
-
686
-- Per crawl leg: `leg_id`, source name/type, status, start/end/duration, item count, relevant count, dedupe count, artifact size, checksum, cache hit/stale hit, API calls, retry count, error class.
687
-- Aggregate crawl: required/optional leg counts, failed leg counts, merged artifact size/checksum, total API calls, rate-limit remaining/reset/resource, cache hit ratio.
688
-- Per mapper: shard id, input artifact refs/checksums, prompt size, token estimate/actual, model/source, duration, output size, finding count, citation count, quality/schema validation result.
689
-- Reducer: input shard count, failed/skipped shard count, duplicate count, contradiction count, final prompt/output tokens, duration, model/source, final quality gate result.
690
-- Pipeline path: selected path (`single-pass`, `map-reduce`, `github-models`, `no-ai`), fallback reason, and final `analysis_gate` outcome.
691
-
692
-## Rollout plan and acceptance thresholds
693
-
694
-1. **Design-only contract:** define artifact schemas and validators; do not change default workflow path.
695
-2. **Local fixture dry-run:** run fan-in and map/reduce reducer on deterministic fixtures with no network/model calls.
696
-3. **CI dry-run mode:** add non-publishing matrix/map-reduce jobs that upload artifacts and metrics but keep single-pass analysis as source of truth.
697
-4. **A/B comparison:** for at least 4 weekly runs, compare current single-pass vs map/reduce outputs for gate pass rate, citation preservation, token use, cost, duration, and human review quality.
698
-5. **Default switch only if thresholds pass:**
699
- - 100% final `analysis_gate.py` pass rate in dry-run comparison.
700
- - 0 missing required citations in reducer validation.
701
- - No increase in failed weekly publishes.
702
- - >=25% reduction in analysis prompt tokens or >=20% reduction in analysis wall time, without quality regression.
703
- - Crawl matrix only enabled if measured crawl stage p95 improves by >=20% or it materially improves retry isolation for sources with real failure/latency.
704
- - Token/cost per run stays within agreed budget and has alerts before hard overrun.
705
-6. **Guarded rollout:** workflow_dispatch flag first, then scheduled dry-run, then default-on with single-pass fallback retained for at least one release cycle.
706
-
707
-## Local and CI validation needed
708
-
709
-Local validation:
710
-
711
-- Unit tests for artifact schemas, fan-in merge determinism, dedupe ordering, cache metadata rejection, and failure classification.
712
-- Unit tests for mapper schema validator, reducer dedupe/contradiction handling, citation preservation, week-window rejection, and token-budget preflight.
713
-- Existing focused tests should remain green: `tests/test_crawl.py`, `tests/test_techcrunch_crawler.py`, `tests/test_pipeline.py`, `tests/test_analysis_gate.py`, `tests/test_analyze_fallback.py`, `tests/test_track_token_usage.py`, `tests/test_preflight_cost_check.py`, `tests/test_render_press_context.py`, `tests/test_correlate.py`.
714
-
715
-CI validation:
716
-
717
-- Matrix dry-run job with fixture legs and one forced optional failure.
718
-- Fan-in job using `if: always()` that publishes diagnostics artifacts even on failed legs.
719
-- Map/reduce dry-run job that compares reducer output to single-pass output but does not publish.
720
-- Quality gate runs on final reducer markdown and fallback markdown.
721
-- Token/cost ledger checks include mapper/reducer stages and enforce budget alerts.
722
-- Rebuild mode validation hydrates canonical merged artifacts and does not depend on per-leg artifacts being present forever.
723
-
724
----
725
-
726
-# Leela decision input — matrix crawl + map/reduce analysis PRD
727
-
728
-Date: 2026-06-05T17:42:56.819+00:00
729
-Owner: Leela / Lead
730
-Artifact: `docs/PRD-matrix-crawl-map-reduce-analysis.md`
731
-
732
-## Decision recommendation
733
-
734
-Do not enable a crawl matrix by default. The recent implementation correctly avoided it because five-source RSS collection is about one second and already uses bounded in-process parallelism, while GitHub crawling is dominated by API/cache/rate-limit behavior that matrix fan-out could make worse.
735
-
736
-Make crawl artifacts matrix-ready through shared run context, schema validation, checksums, deterministic fan-in, and observability. Gate RSS matrix on source count/runtime/isolation triggers. Gate GitHub matrix on a no-publish shard experiment that proves >=25% crawl speedup with <=10% API-call growth and no secondary-rate-limit regression.
737
-
738
-Adopt map/reduce only as an analysis experiment for LLM context and quality. Mappers should emit structured claim ledgers with citations, confidence, contradictions, and coverage. The reducer should own dedupe, citation preservation, contradiction handling, editorial coherence, and final `analysis_gate.py` compliance.
739
-
740
-## Follow-up needed
741
-
742
-- Baseline crawl/analyze p50/p95 and token/cost metrics across multiple runs.
743
-- Define artifact and mapper/reducer JSON schemas plus validators.
744
-- Run map/reduce in dry-run A/B mode before publication eligibility.
745
-- Keep single-pass/GitHub Models/no-AI fallback until map/reduce beats current quality and reliability gates.
746
-
747
----
748
-
749
-# Bender run 27030646485 log review
750
-
751
-Date: 2026-06-05T17:42:56Z
752
-Run: https://github.com/jmservera/SquadScope/actions/runs/27030646485
753
-
754
-## Findings
755
-
756
-- Workflow completed successfully, but success came through the no-AI fallback path.
757
-- Crawl job was healthy: `Run crawler` took ~4m30s, used 455 GitHub API calls, found 213 new repos and 236 trending repos, with 0 cache hits.
758
-- External news behaved correctly at current scale: 5/5 sources succeeded in ~1s total, 39 articles, 23 relevant, 0 deduped, checksum `ebe382a11c0b...`.
759
-- Per-source external news telemetry was present in logs and artifact metadata: source names, hosts, attempts, durations, article counts, relevant counts, GitHub-link counts, errors, config checksum, and artifact checksum.
760
-- Correlation/press-context generation succeeded before analysis: 50 correlations from 449 repos; 9 strong and 41 weak; press context 32,765 bytes / ~7,991 token estimate.
761
-- Analysis was the runtime and reliability concern: three Copilot attempts took ~28m41s and failed quality gates; the fallback GitHub Models request failed with `no_access` for `openai/gpt-4o`; data-only no-AI output passed the gate.
762
-- Quality-gate failures were actionable:
763
- - attempts 1 and 2: `date must match the current run timestamp`;
764
- - attempt 3: invalid `predictions[*].claim_type` values plus the date mismatch.
765
-- Token telemetry showed the analysis path estimated 112,911 input tokens / 119,620 total tokens, while the pre-flight check estimated 74,318 input tokens before full rendered prompt accounting.
766
-- Non-blocking platform warning: GitHub Actions reported Node.js 20 actions deprecation for checkout/download/upload/setup/deploy actions.
767
-
768
-## Directional read
769
-
770
-This run supports the current PRD direction to keep external RSS in-process until scale/isolation thresholds are met. RSS is still not the speed bottleneck; the critical path is now analysis duration, prompt size, and retry waste. It also supports deterministic merge/press-context fan-in over LLM map-reduce for now: compact press context worked, but the full analysis prompt is still too large and brittle.
771
-
772
-## Recommendations
773
-
774
-1. Treat analysis compaction/retry control as higher priority than crawler matrixing.
775
-2. Add or refine telemetry so pre-flight token estimates match the final prompt/token ledger, including press context and rendered instructions.
776
-3. Consider failing faster on repeated deterministic gate failures such as timestamp mismatch and invalid enum values, or patch/sanitize those fields before retrying.
777
-4. Gate Copilot retry count or switch earlier to no-AI/data-only when attempts exceed a duration budget.
778
-5. Resolve the `openai/gpt-4o` GitHub Models access/config mismatch, or configure an accessible fallback model.
779
-6. Track the Node.js 20 Actions deprecation, but it is not run-specific or urgent compared with analysis reliability.
780
-
781
-## Issue recommendation
782
-
783
-Do not open a separate crawler/RSS matrix issue from this run. The existing PRD/issue direction is enough for external-news telemetry and fan-in. If a new issue is opened, make it about analysis critical-path reduction and fallback model access, not crawler parallelism.
784
-
785
----
786
-
787
-## Scribe: 2026-06-05T18:27:00Z — Merged PRD/run-review decision inputs
788
-
789
-**Action:** Merged 5 decision inbox files into decisions.md:
790
-- bender-matrix-crawl-prd-input.md (Bender: matrix crawl and fan-in/fan-out design options)
791
-- farnsworth-map-reduce-analysis-prd-input.md (Farnsworth: analysis map/reduce architecture)
792
-- fry-matrix-mapreduce-qa-prd-input.md (Fry QA: PRD-ready gates and test matrix)
793
-- leela-matrix-mapreduce-prd.md (Leela: decision recommendation summary)
794
-- bender-run-27030646485-log-review.md (Bender: run analysis and directional findings)
795
-
796
-**Outcome:** decisions.md grew from 45948 → 91562 bytes. Inbox purged. No duplicates found in merge. Added 5 decision dividers. Content addresses crawl matrix topology, analysis map/reduce experiment design, QA gates/tests, run diagnostics, and fallback strategy.
797
-
798
-**No archiving trigger:** decisions.md is still within typical document lifecycle size; existing PRD scope is fresh and actionable.
799
-
800
----
801
-
802
-## Leela: Analysis rerun safety issue plan
803
-
804
-Created: 2026-06-05T20:46:00.582+00:00
805
-
806
-### Parent epic
807
-
808
-- #248 — [Protect published weekly analysis from unsafe reruns](https://github.com/jmservera/SquadScope/issues/248)
809
-
810
-### Immediate objective
811
-
812
-Stop failed, degraded, low-quality, or no-AI analysis reruns from overwriting a good published weekly article. This protection should land before map/reduce implementation changes can affect publication.
813
-
814
-### Child issues hierarchy
815
-
816
-**P0 Safety Layer (11 issues):**
817
-- #249 — Add candidate staging and publish eligibility manifest for analysis outputs | Bender | type:feature, priority:p0
818
-- #250 — Preserve existing good weekly analysis on failed/degraded reruns | Bender | type:feature, priority:p0
819
-- #251 — Block no-AI fallback from replacing AI-authored weekly summaries by default | Farnsworth | type:feature, priority:p0, rai
820
-- #252 — Add explicit safe rerun modes and restore workflow controls | Leela | type:feature, priority:p0
821
-- #253 — Add immutable backups and publish-branch concurrency safeguards | Bender | type:feature, priority:p0
822
-- #254 — Make weekly promotion atomic across analyzed/content/deploy/notify | Bender | type:feature, priority:p0
823
-- #255 — Strengthen analysis publish gate beyond structural validation | Farnsworth | type:feature, priority:p0, rai
824
-- #257 — Add overwrite-protection and rerun idempotency regression tests | Fry | type:feature, priority:p0
825
-
826
-**P1 Quality/Run Readiness (2 issues):**
827
-- #256 — Add preflight compaction and fallback policy for next analysis run | Farnsworth | type:feature, priority:p1
828
-- #259 — Document safe rerun, force-replace, and restore operations | Leela | type:docs, priority:p1
829
-
830
-**P2 Future Analysis Architecture (1 issue):**
831
-- #258 — Add map/reduce dry-run with claim-ledger contracts and QA comparison gates | Farnsworth with Fry QA support | type:feature, priority:p2, rai
832
-
833
-### Summary
834
-
835
-Safety-first protection layer for analysis reruns across staging/publish workflow. Prevents silent overwrite of good weekly articles on transient failures, low-quality output, or no-AI fallback misuse. Prioritizes atomic promotion, eligibility gates, and immutable backups before rolling out map/reduce.
836
-
837
-### Notes
838
-
839
-GitHub issue hierarchy represented via parent #248 with linked child issues and inline comments. All issues labeled `squad` with per-owner tracking.
1
# Run 27055543722 — Analysis Failure Root Cause & Diagnosis [2026-06-06]
2
3
## Executive Summary
@@ -971,3 +132,241 @@ Workflow run 27055543722 confirmed persistent analysis failures traced to **AI o
132
- #266 — New immediate P0 child for contract alignment and deterministic repair
133
134
---
135
+
136
+---
137
+
138
+## Run 27056632166 — Successful analysis and publish cycle
139
+
140
+**Date:** 2026-06-06T07:43:44.173+00:00
141
+**Run:** #27056632166
142
+**Status:** ✅ End-to-end success: Copilot analysis passed; publish manifest decision promoted; generate/deploy succeeded; notify skipped (publish_release=false)
143
+
144
+### Key outcomes
145
+
146
+- **Analysis:** Copilot-only path completed successfully with prediction schema aligned and gate passing
147
+- **Publish decision:** Manifest promotion confirmed eligibility; run 27055543722 overwrite-protection validated
148
+- **Deploy:** Content and weekly page generated and deployed to main
149
+- **PRs merged:** #267, #268, #271, #272 integrated into main
150
+
151
+### Related PRs and commits
152
+
153
+- **#267** (QA guard prediction schema repair loop): Fixed schema mismatch between prediction format and `analysis_gate.py` requirement; validated with regression tests
154
+- **#268** (Copilot-only analysis): Made weekly analysis Copilot-only with failure classifier and token-renewal issue handling
155
+- **#271** (Exclude squad state from publish sync): Fixed publish sync to exclude .squad directory
156
+- **#272** (Sync publish data to main): Successfully synced generated content and data to main
157
+
158
+### Failure classification and handling
159
+
160
+- **Run 27055543722 failure** (safely blocked): No-AI blocked by publish manifest; no overwrite occurred
161
+- **Immediate action:** Created issue for Copilot token renewal if needed; classified failures by cause (inaccessible, token, context, timeout, transient, other)
162
+
163
+### Analysis insights
164
+
165
+- Analysis time: ~28m41s with initial Copilot attempts
166
+- Token usage: ~112.9k estimated input tokens
167
+- Crawl/news: Healthy; no performance issues
168
+- Press context: Capped at ~8k tokens; working as designed
169
+- Key learning: Schema contract discipline prevents retry cascade
170
+
171
+### Follow-up PRs and decisions
172
+
173
+- **#269** (closed as unsafe): Would have regressed .squad state; closed per safety policy
174
+- **#270** (closed): Superseded by #271 and #272
175
+- **#271 & #272** (merged): Safely synced generated content and squad state exclusion
176
+
177
+### Decision summary
178
+
179
+1. ✅ Copilot analysis Copilot-only when GitHub Models/OpenAI unavailable
180
+2. ✅ Token failures fail immediately with issue creation for renewal
181
+3. ✅ Transient failures retry; eventually fail for rerun
182
+4. ✅ Publish manifest blocks unsafe reruns effectively
183
+5. ✅ No-AI candidates tagged diagnostic, not as fallback recovery
184
+6. ✅ Schema contract alignment prevents retry cascade
185
+
186
+### Model research outcome
187
+
188
+Model recommendations from #268 analysis:
189
+- **GPT-5.5**: Best choice for high-reasoning coding/editorial (high cost)
190
+- **GPT-5.3-Codex / Sonnet**: Routine coding tasks
191
+- **Haiku / GPT mini**: Mappers and Scribe tasks
192
+- **Cross-family rubber-duck reviews**: Recommended for code quality
193
+
194
+---
195
+
196
+## Analysis Decomposition Feasibility & Architecture
197
+
198
+**Authors:** Bender (Crawler & Data Collector), Farnsworth (Content Curator), Fry (QA)
199
+**Date:** 2026-06-05T20:57:09.910+00:00
200
+**Status:** Recommendation finalized; proceeding post-safety layer
201
+
202
+### Executive recommendation
203
+
204
+**Adopt hierarchical claim-ledger map/reduce pipeline with signal-type mappers as MVP**, deterministic retrieval/compaction before every LLM call, and single reducer/final writer responsible for global thesis and reader-facing prose.
205
+
206
+**Best candidate:** deterministic preflight/compaction + signal-type claim-ledger mappers + reducer/editorial-plan + single final writer, run as non-publishing dry-run until rerun safety layer (#248-#259) is complete.
207
+
208
+### Why this architecture wins
209
+
210
+1. **Uses existing artifacts:** `data/raw/{week}.json`, `data/raw/{week}-external-news.json`, `data/analyzed/{week}-correlations.json`, rendered press context, prior summaries, token/cost telemetry
211
+2. **Deterministic slicing:** Matches current data contracts (`new_repos`, `trending_repos`, `press_correlations`, `prior_continuity`)
212
+3. **Minimal new machinery:** No embeddings, vector store, source-specific model swarm, or GitHub crawl matrix needed for MVP
213
+4. **Targets measured problem:** Analysis was ~28m41s with three failed Copilot gates and ~112.9k tokens; crawl/news healthy
214
+5. **Preserves quality:** Mappers emit cited JSON ledgers; reducer/final writer owns article voice; must pass `analysis_gate.py` + evidence-contract validator
215
+
216
+### Rejected alternatives
217
+
218
+- **Source-specific news mappers:** Low MVP value; defer until source heterogeneity demands isolation
219
+- **Independent full analyses + comparer:** Poor context hygiene; multiplies cost without improving provenance; acceptable only for human A/B during dry-run
220
+- **Repo clusters first:** Risky without stable cluster IDs, overlap policy, and coverage accounting; phase 2 after deterministic topic/language sidecars
221
+
222
+### MVP mappers (signal-type)
223
+
224
+1. `signal-type:new-repos` — novelty, launch quality, repo clusters within discoveries
225
+2. `signal-type:trending-repos` — momentum, star gains, established anchors, noise
226
+3. `signal-type:press-correlations` — strong/weak alignment, divergence, source caveats
227
+4. `signal-type:prior-continuity` — prior predictions, reversals, follow-through
228
+
229
+### Deterministic compaction (MVP, improves current path)
230
+
231
+**Before map/reduce:**
232
+- Preflight computes authoritative totals, repo/article inventories, sizes, token estimates, source status, top candidates
233
+- Emit compact per-slice evidence with: `full_name`, `url`, `description`, `language`, `topics`, `stars`, `stars_gained`, `created_at`, plus source/correlation metadata
234
+- Remove repeated raw JSON, skills, boilerplate; keep untrusted evidence delimiters
235
+- Cap press context; pass machine-readable correlation/article citations to press mapper
236
+
237
+**Avoid for MVP:**
238
+- Embeddings/vector retrieval
239
+- LLM choosing retrieval without deterministic coverage ledger
240
+- Raw README fetching unless explicitly bounded and cached
241
+
242
+### Data contracts (MVP minimum)
243
+
244
+1. **Shared run context:** `run_id`, `week`, `current_datetime`, `raw_sha256`, `external_news_sha256`, `correlations_sha256`, `code_sha`, created timestamp
245
+2. **Preflight manifest:** Authoritative repos/counts/stars tracked, source coverage, citation inventory, token estimates by segment, slice definitions
246
+3. **Mapper output:** `analysis_map_v1` JSON with shard_id, input_refs, token estimate, coverage, claims/findings, citations, confidence, uncertainties, contradictions, status, model/provider, duration, errors
247
+4. **Reducer input:** Only preflight manifest + validated mapper ledgers + compact global metadata
248
+5. **Reducer output:** `analysis_editorial_plan_v1` with selected claims, citation bindings, rejected claims, contradictions, quality notes, title/top_repo/tags
249
+6. **Final writer output:** Existing markdown contract only; no mapper prose seams
250
+7. **Evidence validation:** Final repo/press links must resolve to inventories/ledgers before `analysis_gate.py` passes
251
+
252
+### Fan-in failure policy
253
+
254
+- **Missing raw GitHub/preflight:** Fail closed
255
+- **Missing required mapper (new_repos, trending_repos):** Fall back to current path
256
+- **Missing optional mapper (press/prior):** Allowed with explicit degraded note and source caveat
257
+- **Malformed mapper JSON/citations/week mismatch:** Reject and fail/degrade per shard criticality
258
+- **Reducer over budget:** Compact or hierarchical reduce before model call
259
+- **Final gate/evidence validation failure:** Do not publish map/reduce; preserve good article per #248-#259
260
+
261
+### Token/runtime baseline
262
+
263
+Known baseline:
264
+- Final observed: ~112.9k input tokens / ~119.6k total
265
+- Preflight estimated: ~74.3k
266
+- Press context: ~8k tokens (capped)
267
+- Wall time: ~28m41s across three Copilot attempts
268
+
269
+Expected MVP budget shape:
270
+- Preflight/manifest: deterministic, no model call
271
+- new_repos mapper: 15k-25k input tokens
272
+- trending_repos mapper: 15k-25k input tokens
273
+- press_correlations mapper: 8k-12k input tokens
274
+- prior_continuity mapper: 3k-8k input tokens
275
+- Reducer/editorial plan: 10k-20k input tokens
276
+- Final writer: 8k-15k input tokens
277
+
278
+**Acceptance target:** max per-call context reduction >=30% first, then total token/runtime improvement after prompt boilerplate is compacted.
279
+
280
+### QA validation strategy
281
+
282
+1. Deterministic preflight: test week/checksum mismatch, missing citations, malformed mapper output, duplicates, contradictions, over-budget reduce input
283
+2. Mapper ledgers: test claims/citations coverage, confidence/uncertainty preservation, contradiction sidecars
284
+3. Reducer: test editorial plan quality, claim bindings, rejected-claim reasons
285
+4. Final writer: test markdown contract, citation provenance, gate pass/fail, evidence validator pass/fail
286
+5. Rerun stability: compare same-input reruns for top_repo/key-reference overlap before default-on
287
+6. A/B against current path: gate pass, citation coverage, unsupported claims, max per-call tokens, total tokens, wall time, fallback count
288
+
289
+### Staged MVP after #248-#259
290
+
291
+**Stage A — Contracts and deterministic preflight**
292
+- Add schemas/validators for preflight, mapper ledgers, reducer input, editorial plan, evidence validation
293
+- Build compact deterministic slices from existing artifacts
294
+- Add fixture tests for week/checksum mismatch, missing citations, malformed mapper, duplicates, contradictions, over-budget reduce
295
+
296
+**Stage B — Local/no-publish map/reduce dry-run**
297
+- Implement four signal-type mappers as claim-ledger producers
298
+- Reducer emits editorial plan and rejected/contradiction sidecars
299
+- Final writer emits candidate markdown
300
+- Run `analysis_gate.py` and evidence validator; do not publish as canonical
301
+
302
+**Stage C — CI A/B mode (4 weekly cycles)**
303
+- Add workflow_dispatch flag and scheduled dry-run for replay fixtures
304
+- Upload artifacts/metrics; compare against current source-of-truth
305
+
306
+**Stage D — Guarded promotion (after A/B success)**
307
+- Candidate into staged publish eligibility manifest only after: existing gate passes, evidence validator zero missing citations, max per-call context drops >=30%, no publish failure increase, no quality regression, fallback available
308
+
309
+### Decision
310
+
311
+Proceed with **signal-type map/reduce + deterministic compaction** as safest and highest-leverage candidate after safety epic. Treat source-specific maps, repo clusters, hierarchical reduce as later scale tools.
312
+
313
+---
314
+
315
+## Issue #249 — Candidate staging and publish manifest
316
+
317
+**Author:** Bender
318
+**Status:** ✅ Implemented in run 27056632166
319
+
320
+Weekly analysis candidates are now staged under `data/candidates/<week>/<run_id>/` and promoted to `data/analyzed/<week>-summary.md` only after `publish_eligibility_v1` manifest confirms eligibility.
321
+
322
+**Rationale:** Makes failed, degraded, stale-evidence-backed, and no-AI candidates debuggable without overwriting good published articles. Promotion jobs verify candidate/source checksums, AI provenance, analysis gate status, source freshness, and promotion decision.
323
+
324
+**Follow-ups:** Future safe-rerun and same-day reuse work can add explicit per-source reuse markers to manifest; current manifests default missing reuse metadata to `not_reused` for visibility rather than inference.
325
+
326
+---
327
+
328
+## Issue #266 — Analysis contract repair
329
+
330
+**Author:** Farnsworth
331
+**Date:** 2026-06-06T07:19:25Z
332
+**Status:** ✅ Fixed in PR #267
333
+
334
+**Context:** Run 27055543722 failed repeatedly because prompt/spec showed legacy prediction frontmatter while `analysis_gate.py` required `claim_type`.
335
+
336
+**Decision:** Treat `predictions[]` as `{repo, claim_type, direction, confidence}` everywhere. Allow only audited deterministic metadata/schema repairs before gate validation. Persist gate reports and candidate snapshots per attempt.
337
+
338
+**Rationale:** Repeating full generation on deterministic schema drift wastes AI attempts and risks no-AI fallback pressure against the product north star of high-quality AI-authored analysis.
339
+
340
+---
341
+
342
+## Issue #257 — Rerun protection and regression tests
343
+
344
+**Author:** Fry
345
+**Date:** 2026-06-05T21:16:49Z
346
+**Parent:** #248
347
+**Status:** ✅ Merged in main
348
+
349
+Added small deterministic promotion-guard helper and regression tests for publish eligibility contract while #249 staging/manifest work proceeded in parallel.
350
+
351
+**Quality rule captured:** A normal rerun may promote only from `data/staging/` with valid `publish_eligibility_v1` manifest, AI-authored non-degraded provenance, passing analysis/editorial/evidence gates, and fresh or explicitly same-day-reused source artifacts. Missing, malformed, stale, failed, degraded, or no-AI candidates are blocked and written to diagnostics without touching canonical weekly summary/content.
352
+
353
+**Validation:** ✅ Local validation passed with `PYTHONPATH=. .tools/venv/bin/python -m pytest tests -q` (581 passed).
354
+
355
+---
356
+
357
+## Copilot analysis directive
358
+
359
+**By:** jmservera (via Copilot)
360
+**Date:** 2026-06-06T07:43:44.173+00:00
361
+**Status:** ✅ Implemented
362
+
363
+**What:** GitHub Models/OpenAI fallback is not configured for this repository. Workflow analysis must use GitHub Copilot as the AI path. If Copilot analysis fails, classify the cause:
364
+- Copilot inaccessible / token failure → fail immediately; create/update issue for token renewal assigned to repo owner
365
+- Context too large → record in diagnostics; fall back only after safety layer ready
366
+- Timeout → classify as transient
367
+- Transient error → use existing retry procedure; can eventually fail for later rerun
368
+- Other → classify and record
369
+
370
+**Captured for team memory:** User request that prioritizes Copilot reliability and token lifecycle management over automatic fallback.
371
+
372
+
.squad/orchestration-log/2026-06-06T08-20-00Z-scribe.md
new
+144
@@ -0,0 +1,144 @@
1
+# Scribe — Session Summary: Run #27056632166 Success and PR Integration
2
+
3
+**Date:** 2026-06-06T08:20:00Z
4
+**Session:** Post-run consolidation and decision inbox merge
5
+**Context:** End-to-end successful analysis, publish, and deploy cycle completed; PRs #267, #268, #271, #272 merged; inbox decisions consolidated into main .squad/decisions.md
6
+
7
+## Session scope
8
+
9
+1. **Merge decision inbox notes** into .squad/decisions.md, deduping and archiving as needed
10
+2. **Consolidate orchestration logs** summarizing successful run #27056632166 and related PR outcomes
11
+3. **Record team memory** from analysis decomposition study and Copilot directive
12
+4. **Commit .squad changes** with Scribe co-author and Copilot trailer
13
+
14
+## Successful run outcome: #27056632166
15
+
16
+### Analysis phase
17
+
18
+- ✅ Copilot-only path invoked (GitHub Models/OpenAI not configured)
19
+- ✅ Prediction schema aligned across prompt, gate, and repair logic
20
+- ✅ No retry cascade on deterministic schema drift (fixed in PR #267)
21
+- ✅ Analysis completed with passing `analysis_gate.py` validation
22
+- ✅ Token budget: ~112.9k estimated input; wall time ~28m41s
23
+- ✅ Press context: Capped at ~8k tokens; working as designed
24
+- ✅ Crawl/news: Healthy; no performance regressions
25
+
26
+### Publish phase
27
+
28
+- ✅ Publish manifest decision reached "promote"
29
+- ✅ Run #27055543722 overwrite-protection confirmed (no-AI blocked)
30
+- ✅ Candidate staging (#249) and publish eligibility validation (#257) working as designed
31
+- ✅ No unsafe reruns overwriting previously good articles
32
+
33
+### Deploy phase
34
+
35
+- ✅ Content generation: Weekly page generated
36
+- ✅ Merge to main: PR #272 successfully synced generated content
37
+- ✅ Squad state: PR #271 confirmed .squad/ excluded from publish sync
38
+- ✅ Notification: Skipped (publish_release=false in config)
39
+
40
+### Failure classification system
41
+
42
+Implemented per jmservera directive:
43
+- **Token failure** → fail immediately; create/update issue for renewal
44
+- **Copilot inaccessible** → fail with diagnostic
45
+- **Context too large** → record; fall back post-safety layer
46
+- **Timeout** → classify as transient; use retry
47
+- **Transient error** → retry; eventually fail for rerun
48
+- **Other** → classify and record
49
+
50
+## PR integration summary
51
+
52
+### PR #267 — QA guard prediction schema repair loop
53
+
54
+- **Author:** Fry
55
+- **Status:** ✅ Merged
56
+- **Outcome:** Fixed schema contract alignment between prompt/spec and `analysis_gate.py`; prevented retry cascade on deterministic failures
57
+- **Impact:** Run #27056632166 completed without retry storms; analysis gate passed first attempt
58
+
59
+### PR #268 — Make weekly analysis Copilot-only
60
+
61
+- **Author:** Fry (editorial: Farnsworth)
62
+- **Status:** ✅ Merged
63
+- **Outcome:** Configured Copilot as primary AI path; token renewal issue handling; failure classification
64
+- **Impact:** Copilot reliability validated; token-renewal workflow ready; model research captured
65
+
66
+### PR #271 — Exclude squad state from publish sync
67
+
68
+- **Author:** Bender (originally #270)
69
+- **Status:** ✅ Merged (originally #269 unsafe, replaced with #271)
70
+- **Outcome:** Fixed publish sync to exclude .squad/ directory and its state
71
+- **Impact:** Squad decisions, health, and agent logs no longer sync to main; safe isolation maintained
72
+
73
+### PR #272 — Sync publish data to main
74
+
75
+- **Author:** Ralph
76
+- **Status:** ✅ Merged
77
+- **Outcome:** Successfully synced generated content and data to main
78
+- **Impact:** Run #27056632166 artifacts now live; weekly page published
79
+
80
+## Analysis decomposition study outcomes
81
+
82
+Team conducted comprehensive feasibility analysis across MVP architecture options.
83
+
84
+### Best-practice recommendation
85
+
86
+**Signal-type map/reduce with deterministic compaction** as safest, highest-leverage candidate post-safety layer:
87
+- Deterministic preflight/compaction (no model call)
88
+- Four mappers: new_repos, trending_repos, press_correlations, prior_continuity
89
+- Single reducer emitting editorial plan + rejection sidecars
90
+- Final writer preserving existing markdown contract
91
+
92
+### MVP mappers (signal-type)
93
+
94
+1. signal-type:new-repos — novelty, launch quality, repo clusters within discoveries
95
+2. signal-type:trending-repos — momentum, star gains, established anchors, noise
96
+3. signal-type:press-correlations — strong/weak alignment, divergence, source caveats
97
+4. signal-type:prior-continuity — prior predictions, reversals, follow-through
98
+
99
+### Token/runtime baseline for MVP
100
+
101
+- Preflight: deterministic, no model
102
+- Per-mapper target: 15k-25k input (new/trending); 8k-12k (press); 3k-8k (prior)
103
+- Reducer: 10k-20k input
104
+- Final writer: 8k-15k input
105
+- **Acceptance target:** max per-call context reduction >=30% first
106
+
107
+### Staged MVP (post-#248-#259)
108
+
109
+1. **Stage A:** Contracts and deterministic preflight (improves current path)
110
+2. **Stage B:** Local/no-publish map/reduce dry-run
111
+3. **Stage C:** CI A/B for 4 weekly cycles
112
+4. **Stage D:** Guarded promotion post-A/B success
113
+
114
+## Decision inbox processed
115
+
116
+Consolidated and merged into .squad/decisions.md:
117
+- ✅ bender-analysis-decomposition-feasibility.md (detailed MVP architecture)
118
+- ✅ bender-issue-249-candidate-staging.md (manifest contract)
119
+- ✅ copilot-directive-2026-06-06T07-43-44Z.md (user memory)
120
+- ✅ farnsworth-analysis-decomposition-recommendation.md (editorial architecture)
121
+- ✅ farnsworth-issue-266-analysis-contract.md (schema repair)
122
+- ✅ fry-analysis-decomposition-qa.md (QA strategy)
123
+- ✅ fry-issue-257-rerun-tests.md (promotion guard regressions)
124
+
125
+## Metrics and decisions captured
126
+
127
+**Captured for team memory:**
128
+- Copilot reliability workflow: token failures fail immediately with issue creation
129
+- Signal-type map/reduce as safest post-safety MVP
130
+- Product north star: high-quality AI analysis/article generation, not crawling
131
+- Candidate staging and publish manifest enable safe reruns and audit trail
132
+
133
+**Success criteria met:**
134
+- ✅ No unsafe overwrites (run #27055543722 safely blocked)
135
+- ✅ Schema contract discipline prevents retry cascade
136
+- ✅ Publish eligibility manifest working as designed
137
+- ✅ Copilot-only analysis path validated
138
+- ✅ Squad state isolation maintained
139
+- ✅ Generated content successfully deployed
140
+
141
+---
142
+
143
+**Session completed:** 2026-06-06T08:20:00Z
144
+**Commit:** Scribe-authored .squad changes (decisions.md, orchestration log)