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.
Two machine-readable entry points to the Hermes Agent docs:
/llms.txt curated index of every doc page, one link per page
with short descriptions. ~17 KB, safe to load into
an LLM context window.
/llms-full.txt every page under website/docs/ concatenated as markdown.
~1.8 MB. For one-shot ingestion by coding agents and
RAG pipelines.
Both files are also served from /docs/llms.txt and /docs/llms-full.txt
(Docusaurus serves website/static/ under baseUrl=/docs/). Some agents and
IDE plugins probe the classic site-root path; the deploy workflow now copies
both files to _site root so either URL works.
Conforms to the emerging llmstxt.org spec: H1 project name, blockquote
summary, short install command, GitHub link, then curated sections
mirroring the docs-site navigation (Getting Started, Using Hermes,
Features, Messaging, Integrations, Guides, Developer Guide, Reference).
Generated by website/scripts/generate-llms-txt.py. Wired into prebuild.mjs
so every 'npm run build' and 'npm run start' refreshes the files alongside
the existing skills.json extraction. Both outputs are gitignored (same
precedent as src/data/skills.json).
Descriptions in llms.txt are pulled from each page's frontmatter, so they
stay current automatically. All ~80 section slugs are validated against
the filesystem at generation time; an invalid slug would fail the prebuild.
- 25 documentation pages covering Getting Started, User Guide, Developer Guide, and Reference
- Docusaurus with custom amber/gold theme matching the landing page branding
- GitHub Actions workflow to deploy landing page + docs to GitHub Pages
- Landing page at root, docs at /docs/ on hermes-agent.nousresearch.com
- Content extracted and restructured from existing repo docs (README, AGENTS.md, CONTRIBUTING.md, docs/)
- Auto-deploy on push to main when website/ or landingpage/ changes
