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Layered safety so the Skills Hub at /docs/skills stays in sync without silent rot. Three pieces: 1. build_skills_index.py — refuses to ship a degenerate index. EXPECTED_FLOORS per source (skills.sh ≥100, lobehub ≥100, clawhub ≥50, official ≥50, github ≥30, browse-sh ≥50) and MIN_TOTAL=1500. Any source collapsing to zero (the silent OpenAI breakage that hid for weeks) now fails the workflow loud — broken index never reaches the live site. 2. extract-skills.py + the React page — visible freshness signal. Sidecar website/src/data/skills-meta.json carries the index's generated_at timestamp, plus per-source counts. Skills Hub renders a 'Catalog refreshed N hours ago · auto-rebuilt twice daily' line under the hero copy. If the cron stalls, users see the staleness immediately. 3. .github/workflows/skills-index-freshness.yml — watchdog cron. Every 4 hours, fetches the live /docs/api/skills-index.json, validates shape, checks age (>26h is stale), checks the same per-source floors, and opens (or appends to) a GitHub issue when anything is off. The issue is title-prefixed [skills-index-watchdog] so subsequent failures append a comment instead of spamming new issues. Net effect: - A silent regression like 'OpenAI tap moved its skills' now fails the build instead of shipping a quietly broken catalog. - A stuck cron (like the landingpage breakage that ran red for weeks) now files an issue within 4 hours. - Users see how fresh the catalog is on the page itself. Test plan: - Local: built skills-meta.json from the live index → 'Catalog refreshed N minutes ago' rendered correctly in the static HTML. - Probe logic dry-run against the live index: total=2456, all 6 sources above floor, age 0.1h — issues=NONE. - Triggered skills-index.yml manually; both jobs green, deploy-site.yml dispatch fired. |
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| .. | ||
| extract-skills.py | ||
| generate-llms-txt.py | ||
| generate-skill-docs.py | ||
| prebuild.mjs | ||