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@netresearch/agent-rules-skill-8

B

Netresearch AI skill for generating and maintaining AGENTS.md files following the agents.md specification.

instructionscodexclaude

Install

agr install @netresearch/agent-rules-skill-8 --target claude

Writes 1 file into .claude/skills/, pinned to git-b8baf03e.

  • .claude/skills/agent-rules-skill-8/AGENTS.md

Document

AGENTS.md — src

Overview

Backend services (Python)

Key Files

FilePurpose
src/config.pyApplication
src/__init__.py(add description)
src/services/__init__.py(add description)
src/services/item_service.py(add description)
src/services/user_service.py(add description)

Golden Samples (follow these patterns)

PatternReference
Standard implementationsrc/services/item_service.py

Setup & environment

  • Install: pip install -e .
  • Python version: >=3.11
  • Package manager: uv
  • Environment variables: See .env or .env.example

Build & tests

  • Typecheck: mypy .
  • Format: ruff format .
  • Lint: ruff check .
  • Test: pytest

Code style & conventions

  • Follow PEP 8 style guide
  • Use type hints for all function signatures
  • Naming: snake_case for functions/variables, PascalCase for classes
  • Docstrings: Google style, required for public APIs
  • Imports: group by stdlib, third-party, local (use isort)
  • Modern Python: prefer | over Union, list over List

Security & safety

  • Validate and sanitize all user inputs
  • Use parameterized queries for database access
  • Never use dynamic code execution with untrusted data
  • Sensitive data: never log or expose in errors
  • File paths: validate and use pathlib for path operations
  • Subprocess: use list args, avoid shell=True with user input

PR/commit checklist

  • Tests pass: pytest
  • Type check clean: mypy .
  • Lint clean: ruff check .
  • Formatted: ruff format .
  • Public functions have docstrings

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 Python documentation: https://docs.python.org
  • Review existing patterns in this codebase
  • Check root AGENTS.md for project-wide conventions
  • Use python -m pydoc <module> for stdlib help

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:

  1. 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.

  2. 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

TypeDetectionFeatures
Gogo.modVersion extraction, CLI tool detection
PHPcomposer.jsonTYPO3/Laravel/Symfony detection
TypeScriptpackage.jsonReact/Next.js/Vue/Express detection
Pythonpyproject.tomlPoetry/Ruff/Django/Flask detection
HybridMultiple markersAuto-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-b8baf03e94212026-08-04