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agents-md

Creates and maintains concise AGENTS.md and CLAUDE.md project instruction files

Install / Use

npx skills add getsentry/skills --skill agents-md

Installs into whichever agent you are using.

About this skill
📄

SKILL.md

Installable skill definition

Quality Score

84/100

Category

Automation

Supported Platforms

Claude Code
OpenAI Codex

Tags

Our assessment of agents-md

agents-md scores 84/100 on our quality scale, 2080th of 2,868 Automation skills we index.

Its SKILL.md is 3.1 KB long, well organised into 14 sections with 3 code examples: a solid amount of guidance for an agent.

With 1,004 GitHub stars, it is one of the more widely adopted skills in the catalogue.

Substance
26/30
Structure
18/20
Description
12/15
Adoption
13/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated 14 days ago, so agents-md is actively maintained.
  • It is released under the Apache-2.0 license, a permissive license that allows use, modification and commercial use with attribution.
  • Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

agents-md compared with similar skills

All 4 of these similar skills score higher than agents-md; compare them before choosing.

SkillScoreStarsUpdatedFormat
agents-md (this skill)by getsentry841.0k14d agoSKILL.md
Agent-Reachby Panniantong10091.6k20d agoCLAUDE.md
Scraplingby D4Vinci10085.8ktodayMCP Server
rufloby ruvnet10073.9ktodayMCP Server
algorithmic-artby anthropics100177.9k13d agoSKILL.md

Frequently asked questions

How do I install agents-md?
Run npx skills add getsentry/skills --skill agents-md. The install tabs above show the steps for each supported agent.
Which AI agents does agents-md work with?
It is written for Claude Code and OpenAI Codex, as a SKILL.md file. Other agents that read the same format can often use it too.
Is agents-md safe to use?
It is Apache-2.0-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is agents-md still maintained?
The repository was last updated 14 days ago, so agents-md is actively maintained.

name: agents-md description: Creates and maintains concise AGENTS.md and CLAUDE.md project instruction files. Use when asked to create AGENTS.md, update AGENTS.md, maintain agent docs, set up CLAUDE.md, document repository agent conventions, or keep coding-agent instructions minimal and reference-backed.

Maintaining AGENTS.md

Goal: concise, actionable agent instructions. Target under 60 lines; never exceed 100.

Workflow

  1. Inspect before writing:
    • package manager: lock files and manifests
    • commands: package.json, Makefile, task runners, CI workflows
    • docs/specs/policies: README.md, CONTRIBUTING.md, docs/, specs/, policies/, SECURITY.md, .github/
    • conventions: current code patterns, test layout, generated files, legacy areas to avoid
  2. Choose scope:
    • root AGENTS.md: repo-wide defaults
    • nested AGENTS.md: only when a subtree has different commands or rules
    • closest instruction file wins; keep narrower files shorter than root files
  3. Write the smallest useful file.
  4. Verify exact paths and commands exist.

File Setup

  • Create AGENTS.md at the repository root.
  • If a Claude-compatible entrypoint is required, symlink CLAUDE.md to AGENTS.md.
  • Do not maintain divergent AGENTS.md and CLAUDE.md copies.

Default Sections

Use only sections that add non-obvious value.

# Agent Instructions

## Package Manager
- Use **pnpm**: `pnpm install`

## Commands
| Task | Command |
|------|---------|
| Test file | `pnpm vitest run path/to/file.test.ts` |
| Lint file | `pnpm eslint path/to/file.ts` |

## External References
| Need | File |
|------|------|
| Setup | `CONTRIBUTING.md` |
| Architecture | `docs/architecture.md` |
| Security policy | `SECURITY.md` |

## Key Conventions
- Generated files: update with `pnpm generate`; do not edit by hand.

## Commit Attribution
AI commits MUST include:
```
Co-Authored-By: (the agent's name and attribution byline)
```

Writing Rules

  • Use headings, bullets, and tables; avoid paragraphs.
  • Use repo-relative paths; avoid vague references like "see docs".
  • Reference existing docs/specs/policies instead of copying them.
  • List exact external files for setup, architecture, API specs, security, release, and policy docs when they exist.
  • Prefer file-scoped test/lint/typecheck commands; include full builds only when no narrower command exists.
  • Put commands in tables when there is more than one.
  • Keep one rule per bullet.
  • Keep rationale out unless it prevents a likely mistake.
  • Do not restate linter, formatter, or typechecker config.
  • Do not list installed skills or plugins.
  • Do not include generic quality slogans.

External Reference Rules

Good:

## External References
| Need | File |
|------|------|
| API contract | `docs/api.md` |
| Release process | `docs/releasing.md` |

Anti-Patterns

  • welcome text, intros, conclusions, or pleasantries
  • long prose explaining why instructions matter
  • duplicated content from README.md, CONTRIBUTING.md, or policy docs
  • project-wide commands when file-scoped commands are available
  • nested AGENTS.md files that repeat root instructions

Related Skills

View on GitHub
GitHub Stars1.0k
CategoryAutomation
Updated14d ago
Forks52

Languages

Python

Trust signals

100/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

No cautions