@netresearch/agent-rules-skill-6
BNetresearch AI skill for generating and maintaining AGENTS.md files following the agents.md specification.
Install
agr install @netresearch/agent-rules-skill-6 --target claudeWrites 1 file into .claude/skills/, pinned to git-f9aa7bce.
- .claude/skills/agent-rules-skill-6/AGENTS.md
Document
AGENTS.md — src
Overview
Backend services (TypeScript/Node.js)
Key Files
| File | Purpose |
|---|---|
src/config.ts | (add description) |
src/routes/health.ts | Add database connectivity check here |
src/routes/users.ts | (add description) |
src/index.ts | Middleware |
src/utils/logger.ts | (add description) |
Golden Samples (follow these patterns)
| Pattern | Reference |
|---|---|
| Standard implementation | src/controllers/userController.ts |
Setup & environment
- Install:
pnpm install - Node version: >=20.0.0
- Package manager: pnpm
- Environment variables: See .env or .env.example
Build & tests
- Typecheck (project-wide):
pnpm typecheck - Format:
pnpm format - Lint:
pnpm lint - Test:
pnpm test - Build:
pnpm build - Dev server:
pnpm dev
Code style & conventions
- Use TypeScript strict mode (
strict: truein tsconfig) - No
anywithout explicit justification comment - Prefer
interfaceovertypefor object shapes - Naming:
camelCasefor functions/vars,PascalCasefor classes/types - Async/await over raw Promises
- Prefer
constoverlet, never usevar - Destructure objects and arrays when appropriate
Security & safety
- Validate all user inputs (use zod or similar)
- Parameterized queries only (no string concatenation)
- Never use dynamic code execution with user data
- Sensitive data: never log or expose in errors
- Environment: use dotenv, never hardcode secrets
- CORS: configure explicitly, no wildcard in production
- Rate limiting: implement for public endpoints
PR/commit checklist
- Tests pass:
pnpm test - Type check clean:
pnpm typecheck - Lint clean:
pnpm lint - Formatted:
pnpm format - No
anytypes without justification - API endpoints have validation
- Error responses don't leak internals
Patterns to Follow
Prefer looking at real code in this repo over generic examples. See Golden Samples section above for files that demonstrate correct patterns.
When stuck
- Check Node.js docs: https://nodejs.org/docs
- TypeScript handbook: https://www.typescriptlang.org/docs
- Review existing patterns in this codebase
- Check root AGENTS.md for project-wide conventions
Repository README
Describes netresearch/agent-rules-skill as a whole, which may contain artifacts other than this one. Where this artifact had no useful description of its own, its summary was taken from here.
AGENTS.md Generator Skill
Netresearch AI skill for generating and maintaining AGENTS.md files following the agents.md specification.
What is AGENTS.md? A context file written for AI coding agents, not humans. Human readability is a side effect, not a goal. Adopted by 60,000+ open-source projects. See the official specification and best practices from 2,500+ repositories.
Standards Compliance
This skill implements two complementary standards:
-
agents.md - The file format this skill generates. A simple Markdown convention for guiding AI coding agents, supported by Claude Code, GitHub Copilot, Cursor, and 60,000+ open-source projects.
-
Agent Skills - How this skill is packaged and distributed. A portable format for procedural knowledge that works across AI agents.
Supported Platforms:
- ✅ Claude Code (Anthropic)
- ✅ Cursor
- ✅ GitHub Copilot
- ✅ Other skills-compatible AI agents
Features
- Thin Root Files - ~30 lines with precedence rules and global defaults
- Scoped Files - Automatic subsystem detection (backend/, frontend/, internal/, cmd/)
- Auto-Extraction - Commands from Makefile, package.json, composer.json, go.mod
- Multi-Language - Templates for Go, PHP, TypeScript, Python, and hybrid projects
- Idempotent Updates - Preserve existing structure while refreshing content
- Managed Headers - Mark files as agent-maintained with timestamps
Installation
Marketplace (Recommended)
Add the Netresearch marketplace once, then browse and install skills:
# Claude Code
/plugin marketplace add netresearch/claude-code-marketplace
npx (skills.sh)
Install with any Agent Skills-compatible agent:
npx skills add https://github.com/netresearch/agent-rules-skill --skill agent-rules
Download Release
Download the latest release and extract to your agent's skills directory.
Git Clone
git clone https://github.com/netresearch/agent-rules-skill.git
Composer (PHP Projects)
composer require netresearch/agent-rules-skill
Requires netresearch/composer-agent-skill-plugin.
npm (Node Projects)
npm install --save-dev \
@netresearch/agent-skill-coordinator \
github:netresearch/agent-rules-skill
Requires @netresearch/agent-skill-coordinator, which discovers the skill in node_modules and registers it in AGENTS.md via a postinstall hook. For pnpm, also allowlist the coordinator's postinstall:
{
"pnpm": {
"onlyBuiltDependencies": ["@netresearch/agent-skill-coordinator"]
}
}
Usage
The skill triggers on keywords like:
- "AGENTS.md", "agents file"
- "agent documentation", "AI onboarding"
- "project context for AI"
Example Prompts
"Generate AGENTS.md for this project"
"Update the agents documentation"
"Create scoped AGENTS.md files for each subsystem"
"Validate AGENTS.md structure"
Supported Projects
| Type | Detection | Features |
|---|---|---|
| Go | go.mod | Version extraction, CLI tool detection |
| PHP | composer.json | TYPO3/Laravel/Symfony detection |
| TypeScript | package.json | React/Next.js/Vue/Express detection |
| Python | pyproject.toml | Poetry/Ruff/Django/Flask detection |
| Hybrid | Multiple markers | Auto-creates scoped files per stack |
Structure
agents/
├── SKILL.md # AI instructions
├── README.md # This file
├── LICENSE-MIT # Code license (MIT)
├── LICENSE-CC-BY-SA-4.0 # Content license (CC-BY-SA-4.0)
├── composer.json # PHP distribution
├── references/ # Convention documentation
├── scripts/ # Generator scripts
│ ├── generate-agents.sh
│ ├── validate-structure.sh
│ └── detect-scopes.sh
└── templates/ # Language-specific templates
├── go/
├── php/
├── typescript/
└── python/
Contributing
Contributions welcome! Please submit PRs for:
- Additional language templates
- Detection signal improvements
- Script enhancements
- Documentation updates
License
This project uses split licensing:
- Code (scripts, workflows, configs): MIT
- Content (skill definitions, documentation, references): CC-BY-SA-4.0
See the individual license files for full terms.
Credits
Developed and maintained by Netresearch DTT GmbH.
Made with ❤️ for Open Source by Netresearch
Trustgrade B
- passBody integrity
Whether the stored document is plausibly the kind of file the artifact declares, rather than something fetched by mistake.
- passType matchnot applicable to this artifact type
Whether the artifact is really the kind of thing its metadata claims it is.
- passFreshness
How long since the source repository was last pushed to.
- passPrompt injection
Scans the artifact's own text for instructions aimed at your agent rather than at you.
- warnLicenseno SPDX license detected
Whether the source repository declares an SPDX license permissive enough to redistribute.
How the grade is calculated
Each check contributes 0 points when it passes, 1 when it warns, and 2 when it fails. The total maps to a letter:
- Aevery check passed
- Bone warning
- Ctwo warnings
- Dprompt injection or body integrity failed, or three warnings
- Fone of those failed, and something else is wrong
These are automated hygiene checks, not a security audit, and not a dependency or vulnerability scan. A grade of A means nothing was flagged — not that the artifact is safe.
Versions
git-f9aa7bce2fe52026-08-04