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Dry Run Report — Issue #7

Executed: 2026-05-18T10:59:10.800+02:00
Scope: Manual crawl → analyze → publish dry run using data/raw/2026-W21.json

Inputs Checked

  • data/raw/2026-W21.json exists.
  • The crawler payload passes scripts.crawl.validate_payload.
  • Top-level structure is present: week, crawled_at, new_repos, trending_repos, signals, metadata.
  • Source counts: 209 new repositories, 215 trending repositories, 424 total entries.

What Worked

  1. Manual analysis artifact created at data/analyzed/2026-W21-summary.md.
  2. Weekly Hugo content updated at content/weekly/2026/W21.md and linked back to both the raw and analyzed artifacts.
  3. Hugo build succeeded when run with a compatible local binary (v0.161.1).
  4. Homepage validation passed: the latest-week slot resolves to Week 21, 2026.
  5. Archive validation passed: /archive/ lists the weekly entry.
  6. RSS validation passed: public/index.xml includes the Week 21 entry.
  7. Taxonomy validation passed: generated tags and categories pages include the weekly entry.

What Did Not Work Cleanly

  1. System Hugo is too old. The machine default was hugo v0.123.7, but the PaperMod theme requires v0.146.0+, so the first build failed before validation could proceed.
  2. Trending is not truly trending yet. Every trending_repos item for this week has stars_gained = null, which means the output is effectively “popular repos active this week” until a prior snapshot exists.
  3. Crawler noise is still high. The new-repo dataset includes a noticeable amount of exploit, bypass, cheat, and game-mod content that would weaken fully automated publication.
  4. Automation gap remains. The weekly page was assembled manually because the Analyze → Generate handoff is not implemented yet.

Observations From the Data

  • AI/agentic tooling is the dominant theme in both new and trending datasets.
  • Security appears often, but much of that signal is exploit-oriented rather than defensive tooling.
  • The strongest credible new-repo cluster is around agent workflows, reusable skills, and lightweight coding infrastructure.
  • The strongest trending cluster is around established AI and developer-platform repositories (n8n, ollama, transformers, dify, firecrawl, claude-code).

Missing Pieces Before Full Automation

  • Seed and maintain historical snapshots so trending can calculate real weekly star deltas.
  • Tighten crawler filtering or add a post-crawl quality gate for off-mission repositories.
  • Implement the generator step that converts analyzed markdown into weekly/monthly/yearly Hugo content.
  • Pin Hugo version in local/CI verification so validation does not depend on a too-old system package.
  • Align the long-term analyzed markdown contract with the final weekly page schema and quality gate expectations.

Dry Run Verdict

Partial pass. The publish side of the pipeline is structurally viable once given a valid analyzed markdown file, and the site surfaces the weekly entry in the expected places. Full end-to-end automation is still blocked by missing trend baselines, noisy crawl output, and the absent Analyze → Generate automation step.