Point Hermes at directories of source material (code, API docs, manuals, PDFs, configs) and it distills a reusable skill: ingest + classify -> draft SKILL.md via the main model -> sandboxed verification -> commit only when the verification tier meets the floor. Surfaces (all call the shared agent/skill_distill.py engine): - CLI: `hermes learn <dirs> [--hint --category --run --min-tier --json]` - In-session /learn slash command (CLI + TUI + every messaging platform) - Dashboard: Skills tab 'Learn from sources' dialog + /api/skills/learn endpoint Verification is an honest tier (executed / checked / unverified / failed), stamped into the skill frontmatter; never claims 'tested' when only parsed. --run executes only allowlisted read-only snippets in a throwaway temp dir, and is admin-gated over the gateway. Zero new model tools (footprint ladder rung 2). Synthesis uses call_llm(task='skill_distill') so it's main-model-first and cache-safe. 13 targeted engine tests; live-tested CLI + gateway end-to-end (reached the 'executed' tier in a sandbox).
Website
This website is built using Docusaurus, a modern static website generator.
Installation
yarn
Local Development
yarn start
This command starts a local development server and opens up a browser window. Most changes are reflected live without having to restart the server.
Build
yarn build
This command generates static content into the build directory and can be served using any static contents hosting service.
Deployment
Using SSH:
USE_SSH=true yarn deploy
Not using SSH:
GIT_USER=<Your GitHub username> yarn deploy
If you are using GitHub pages for hosting, this command is a convenient way to build the website and push to the gh-pages branch.
Diagram Linting
CI runs ascii-guard to lint docs for ASCII box diagrams. Use Mermaid (````mermaid`) or plain lists/tables instead of ASCII boxes to avoid CI failures.