agent-rules

v2026.09.24

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.

GitHub
安装命令
npx skhub add netresearch/agent-rules
Markdown
SKILL.md

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.

ScriptPurpose
generate-agents.sh PATHGenerate AGENTS.md files
validate-structure.sh PATHValidate structure compliance
check-freshness.sh PATHCheck if files are outdated
verify-content.sh PATHVerify documented files/commands match codebase
verify-commands.sh PATHVerify documented commands execute
score-agents.sh PATHGrade AGENTS.md quality, worst-first
detect-project.sh PATHDetect language, version, build tools
detect-scopes.sh PATHIdentify directories needing scoped files
extract-commands.sh PATHExtract commands from build configs
extract-ci-rules.sh PATHExtract CI quality gates and version matrix
extract-architecture-rules.sh PATHExtract module boundaries
extract-adrs.sh PATHExtract architectural decision records
extract-github-rulesets.sh PATHExtract GitHub rulesets and merge rules

See references/scripts-guide.md for full options.

Workflow

  1. Detect: detect-project.sh + detect-scopes.sh — stacks and subsystems
  2. Extract: extract-commands.sh, extract-ci-rules.sh — gather facts
  3. Generate: generate-agents.sh --style=thin (default) or --verbose
  4. Verify: verify-content.sh + verify-commands.sh -- MANDATORY before done

--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

FileContents
verification-guide.mdVerification steps, anti-bloat, preservation check
fleet-sync-sweep.mdFleet-wide AGENTS.md sweeps
scripts-guide.mdScript options, validation checklist
quality-rubric.mdGrading rubric
ai-tool-compatibility.md16-agent compatibility matrix
output-structure.mdRoot/scoped sections
git-hooks-setup.mdHook framework setup
examples/Complete examples
ai-contribution-guidelines.md"3 Cs" AI-contribution framework
directory-coverage.mdScoped-file coverage rationale
feedback-memory-schema.mdApproved-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

发现
标签

此技能尚未发布标签。

版本
最新版本元数据

版本

v2026.09.24

发布时间

2026年9月24日

分类

未分类

许可证

NOASSERTION

源路径

skills/agent-rules

默认分支

main

最新提交

bb07792

Tree SHA

9693825