Agent Rules

Organization

netresearch

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.

Overview

Publisher	netresearch
Repository	`agent-rules-skill`
Skill name	`agent-rules`
Stars	89
Forks	11
Bundled files	169
Links	Skill source Repository

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
169 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by netresearch on GitHub. Read the source before you install it.

Installation

Install the Agent Rules AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/netresearch/agent-rules-skill/tree/main/skills/agent-rules
Enable the skill in any chat where you want it available.

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/netresearch/agent-rules-skill.git /tmp/agent-rules-skill
mkdir -p .claude/skills
cp -r /tmp/agent-rules-skill/skills/agent-rules .claude/skills/agent-rules

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Agent Rules in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Agent Rules on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Agent Rules is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

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.md must be under 150 (harness AH-02); run the repo's verify-harness.sh where it exists -- CI's harness check fails otherwise

--update preserves curated content outside  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.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

and 109 more files.

Frequently asked questions

What does the Agent Rules AI skill do?

Why use Agent Rules on TypingMind?

Because you install it once and use it with any model. Agent Rules is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Agent Rules in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/netresearch/agent-rules-skill/tree/main/skills/agent-rules. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Agent Rules?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Agent Rules?

As many as you like. As long as a model supports skills, you can use Agent Rules with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Agent Rules AI skill free?

It is published on GitHub by netresearch. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Agent Rules

Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

AGENTS.md Generator Skill

When to Use

Scripts

Workflow

Core Principles

References

Templates

Supported Projects

See Also

Bundled files

Frequently asked questions

Set up your own AI workspace now

Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

AGENTS.md Generator Skill

When to Use

Scripts

Workflow

Core Principles

References

Templates

Supported Projects

See Also

Bundled files

Frequently asked questions

Related AI Skills

Set up your own AI workspace now