agent-rules
Use when creating or updating AGENTS.md files, .github/copilot-instructions.md, or other AI agent rule files, onboarding AI agents to a project, standardizing agent documentation, or when anyone mentions AGENTS.md, agent rules, project onboarding, or codebase documentation for AI agents.
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Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/netresearch/agent-rules-skill --skill agent-rules- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads agent-rules automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
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check-freshness.sh PATH | Check if files are outdated |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).
FAQ
What does the agent-rules skill do?
Use when creating or updating AGENTS.md files, .github/copilot-instructions.md, or other AI agent rule files, onboarding AI agents to a project, standardizing agent documentation, or when anyone mentions AGENTS.md, agent rules, project onboarding, or codebase documentation for AI agents.
How do I install agent-rules?
Run npx skills add https://github.com/netresearch/agent-rules-skill --skill agent-rules in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/agent-rules/ (personal) or .claude/skills/agent-rules/ (project).
Which AI agents can use agent-rules?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is agent-rules safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains agent-rules?
It is published by netresearch in netresearch/agent-rules-skill. It has 815 recorded installs.
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