NVIDIA/skills is now a default trusted tap in the Hermes Skills Hub —
discoverable, browsable, searchable, and auto-updating through the same
pipeline that already serves OpenAI, Anthropic, and HuggingFace skills.
Rebased onto current main.
NVIDIA's verified skills catalog (https://github.com/NVIDIA/skills) ships
NVIDIA-signed skills for CUDA-X, AIQ, cuOpt, cuPyNumeric, DeepStream, NeMo,
NemoClaw and the Skill Card Generator — each bundle carrying a detached
`skill.oms.sig` signature, a governance `skill-card.md`, and `evals/`. The
sync pipeline drops any skill missing those artifacts before publishing.
Changes:
- tools/skills_hub.py: add NVIDIA/skills to GitHubSource.DEFAULT_TAPS so
it lights up in `hermes skills browse`, `hermes skills search <q>`, the
twice-daily skills-index build, and the docs-site Skills Hub page
(https://hermes-agent.nousresearch.com/docs/skills) automatically.
- tools/skills_guard.py: add NVIDIA/skills to TRUSTED_REPOS so installs
resolve to trust_level="trusted" (looser install policy than community).
- website/scripts/extract-skills.py: map the `github` source id to a
friendly "NVIDIA" pill label for the docs hub page.
- website/src/pages/skills/index.tsx: register the NVIDIA pill (green
#76b900) and slot it into SOURCE_ORDER after HuggingFace.
- website/docs/user-guide/features/skills.md (+ zh-Hans i18n): document
the new default tap and the expanded trusted-repos list.
- tests/tools/test_skills_guard.py: assert NVIDIA/skills resolves to
"trusted" (including the skills-sh-wrapped form).
- tests/tools/test_skills_hub.py: invariant — every TRUSTED_REPOS entry
must be reachable via GitHubSource.DEFAULT_TAPS (prevents future
trusted repos from being declared but never browseable).
Validation:
- Live GitHub fetch: `src.fetch('NVIDIA/skills/skills/aiq-deploy')` pulled
17 files including SKILL.md (13 KB), skill-card.md, skill.oms.sig, and
the full references/ + evals/ tree. trust_level="trusted".
- Live inspect resolved name, description, and trust correctly.
- All 193 existing skills_guard + skills_hub tests still pass.
Translates the full English docs corpus (335 files) into Simplified
Chinese under website/i18n/zh-Hans/. Combined with PR #31895 (cross-
locale link fix), the 简体中文 locale toggle now serves a complete
Chinese site with working cross-page navigation.
Pipeline:
- Claude Sonnet 4.6 via OpenRouter, 8-way concurrent
- Preserves frontmatter keys, code blocks, MDX/JSX, link URLs, brand
names, and technical jargon (prompt/token/hook/MCP/ACP/etc.)
- Translates only frontmatter title/description and prose
- Two largest files (configuration.md 93KB, research-paper-writing.md
107KB) retried with 64K max_tokens after initial fence-drift
- 3 manual post-fixes for MDX edge cases the model didn't escape:
< in optional-skills-catalog table, double-quotes in an alt= tag,
and a bare URL adjacent to a full-width period
Cost: ~$30 total (Sonnet 4.6 input $3/M + output $15/M).
Verified `npm run build` succeeds for both en and zh-Hans locales,
no double-prefixed /docs/zh-Hans/docs/ URLs in rendered output,
all in-page navigation resolves correctly.
Translations are machine-generated and may need human review on
specific pages — but they're an enormous improvement over the
previous state (3 zh-Hans pages out of 335).
Teknium