Mode d’emploi
- Copiez la commande et examinez le paquet avant de l’installer dans votre environnement agent.
- Consultez le document original pour les outils, identifiants et environnements requis.
- Décrivez les entrées et le livrable souhaité ; comparez la sortie aux sources.
npx skills add https://github.com/netresearch/agent-rules-skill --skill agent-rulesAvant de commencer
- L’installation n’inclut ni abonnement au modèle, ni quota API, ni accès aux fichiers.
- Étoiles et installations reflètent l’activité, pas un test indépendant de qualité ou de sécurité.
Rendu depuis le dépôt source en conservant titres, exemples, code, tableaux, liens et images.
AGENTS.md Generator Skill
Generate and maintain AGENTS.md files following the agents.md convention. AGENTS.md is FOR AGENTS, not humans.
When to Use
- Creating or updating AGENTS.md for new/existing projects
- Scaffolding a new repository — ship AGENTS.md with the initial commits; retrofitting later needs full re-verification
- Standardizing agent documentation across repositories
- Checking AGENTS.md freshness after code changes
- Onboarding AI agents to an unfamiliar codebase
Scripts
Call every script by its full path: bash ${CLAUDE_SKILL_DIR}/scripts/<name> PATH. Calling one relative to the working directory is not covered by the frontmatter rule and raises a permission prompt per call.
| Script | Purpose |
|---|---|
generate-agents.sh PATH | Generate AGENTS.md files |
validate-structure.sh PATH | Validate structure compliance |
check-freshness.sh PATH | Check if files are outdated |
verify-content.sh PATH | Verify documented files/commands match codebase |
verify-commands.sh PATH | Verify documented commands execute |
score-agents.sh PATH | Grade AGENTS.md quality, worst-first |
detect-project.sh PATH | Detect language, version, build tools |
detect-scopes.sh PATH | Identify directories needing scoped files |
extract-commands.sh PATH | Extract commands from build configs |
extract-ci-rules.sh PATH | Extract CI quality gates and version matrix |
extract-architecture-rules.sh PATH | Extract module boundaries |
extract-adrs.sh PATH | Extract architectural decision records |
extract-github-rulesets.sh PATH | Extract GitHub rulesets and merge rules |
See references/scripts-guide.md for full options.
Workflow
- Detect:
detect-project.sh+detect-scopes.sh— stacks and subsystems - Extract:
extract-commands.sh,extract-ci-rules.sh— gather facts - Generate:
generate-agents.sh --style=thin(default) or--verbose - Verify:
verify-content.sh+verify-commands.sh-- MANDATORY before done - Line cap: before committing any root AGENTS.md edit,
wc -l AGENTS.mdmust be under 150 (harnessAH-02); run the repo'sverify-harness.shwhere it exists -- CI's harness check fails otherwise
--update preserves curated content outside <!-- GENERATED --> markers.
Core Principles
- Structured over Prose -- tables parse faster than paragraphs
- Never Fabricate -- only document what exists; verify every command and path
- Pointer Principle -- point to files, don't duplicate content
- Auto Symlinks -- CLAUDE.md/GEMINI.md by default (`ai-tool-compatibility.md`)
References
| File | Contents |
|---|---|
| `verification-guide.md` | Verification steps, anti-bloat, preservation check |
| `fleet-sync-sweep.md` | Fleet-wide AGENTS.md sweeps |
| `scripts-guide.md` | Script options, validation checklist |
| `quality-rubric.md` | Grading rubric |
| `ai-tool-compatibility.md` | 16-agent compatibility matrix |
| `output-structure.md` | Root/scoped sections |
| `git-hooks-setup.md` | Hook framework setup |
| `examples/` | Complete examples |
| `ai-contribution-guidelines.md` | "3 Cs" AI-contribution framework |
| `directory-coverage.md` | Scoped-file coverage rationale |
| `feedback-memory-schema.md` | Approved-learning file format |
Templates
Root: assets/root-thin.md (default) or root-verbose.md. Scoped: assets/scoped/, one per stack (Go/PHP/Python/TYPO3/Symfony/Oro/CLI/TS/skill-repo).
Supported Projects
Go, PHP (Composer/Laravel/Symfony/TYPO3/Oro), TypeScript (React/Next/Vue/Node), Python (pip/poetry/ruff/mypy), skill repos, hybrid.
See Also
- `agent-harness-skill` — agent-readiness harness (CI enforcement).
- `skill-repo-skill` — skill-repo structure (plugin.json, licensing, releases).
