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Agents Md

SentryOfficialPublished by Sentry

  • Skill
  • Content generator
  • Software development
  • Apache-2.0
  • No issues found

From the author

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.
— the description by Sentry

AutoGineer summary

Written by AutoGineer from the skill’s own files, not by the author

This skill provides a structured approach to creating and maintaining AGENTS.md and CLAUDE.md files. It focuses on keeping agent instructions minimal, actionable, and reference-backed to ensure coding agents operate efficiently within a repository. By prioritizing existing documentation and using standardized tables for commands and references, it prevents instruction bloat and ensures consistency across project subdirectories.

What it does

  • Generates concise AGENTS.md files for repository-wide agent configuration.
  • Creates symlinks for CLAUDE.md to maintain a single source of truth.
  • Structures agent instructions using tables for commands and external references.
  • Enforces a strict limit of 100 lines to ensure instructions remain readable.
  • Promotes referencing existing project documentation instead of duplicating content.
  • Standardizes commit attribution requirements for AI-generated code.

When to use it

  • When setting up a new repository that requires specific instructions for coding agents.
  • When existing agent instructions have become bloated or outdated.
  • When you need to define project-specific commands for testing, linting, or building.
  • When you want to ensure agents follow specific repository conventions or security policies.

Advantages

  • Reduces agent hallucination by providing clear, file-scoped command references.
  • Prevents instruction drift by using symlinks for multi-agent compatibility.
  • Improves agent performance by keeping context windows focused on essential rules.
  • Maintains a clean repository structure by avoiding redundant documentation.

Usage examples

“Create an AGENTS.md file for this project.”
The agent inspects the repository structure, identifies the package manager and key commands, and generates a concise AGENTS.md file with tables for commands and references.
“Update our AGENTS.md to include the new linting command.”
The agent updates the existing commands table in AGENTS.md with the specific linting command while maintaining the established formatting and line limits.

Install

  1. Download the skill as a ZIP:

    https://autogineer.com/agent-skills/getsentry/agents-md/download
  2. Unzip it into the cross-client skills folder of your project:

    mkdir -p .agents/skills && unzip agents-md.zip -d .agents/skills

Documentation by Sentry

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

Files

SOURCES.md

Sources

This file tracks material synthesized into agents-md.

Selected profile

  • skills/skill-writer/references/examples/workflow-process-skill.md

Why: this skill is a repeatable authoring workflow with pre-inspection, scoped output, validation, and failure controls.

Current source inventory

SourceTypeTrust tierRetrievedConfidenceContributionUsage constraintsNotes
AGENTS.mdrepo policycanonical2026-05-04highRequires skill-writer, concise prose, exact registration expectationslocal repository authorityHighest-priority local instruction source
README.mdrepo policycanonical2026-05-04highSkill layout, SPEC.md convention, public inventory stylelocal repository authorityConfirms canonical skills/ tree
CONTRIBUTING.mdrepo policycanonical2026-05-04highLocal testing and contribution workflowlocal repository authorityUsed for validation expectations
skills/skill-writer/SKILL.md and referenceslocal canonicalcanonical2026-05-04highSkill update workflow, source capture, authoring, validationlocal repository authorityPrimary authoring workflow
https://agents.md/official format guidecanonical2026-05-04highAGENTS.md purpose, common sections, nested files, closest-file precedencepublic format guidanceSupports path-backed and scoped instructions
https://developers.openai.com/codex/guides/agents-mdofficial product docscanonical2026-05-04highCodex discovery order, global/project scopes, nested precedence, size cap, verification commandsOpenAI-specific behaviorUsed only for compatibility guidance
https://agentskills.io/specificationofficial speccanonical2026-05-04highSkill frontmatter, progressive disclosure, focused referencesskill format guidanceSupports concise runtime file shape

Decisions

  1. Make external file enumeration a default AGENTS.md section when docs/specs/policies exist. Status: adopted Why: AGENTS.md should point agents to exact source files instead of copying policy or asking them to scan vague directories.

  2. Prefer concise root files plus nested overrides. Status: adopted Why: official AGENTS.md and Codex docs both describe hierarchical instructions where narrower files override broader guidance.

  3. Keep CLAUDE.md as a compatibility symlink when needed. Status: adopted Why: one canonical instruction file avoids divergent provider-specific copies.

  4. Treat OpenAI AGENTS.override.md behavior as compatibility guidance, not a shared-repo default. Status: adopted Why: it is useful for Codex-specific overrides but can surprise other tools and humans if used as the main repo contract.

  5. Cut prose and examples to a compact template. Status: adopted Why: instruction-following and truncation risks grow with long agent docs; the user explicitly requested minimal prose.

Coverage matrix

DimensionCoverage statusEvidence
Repo inspection before writingcompletelocal repo policy, skill-writer workflow
External docs/specs/policies enumerationcompleteuser concern, AGENTS.md format guidance
Nested scope and precedencecompleteofficial AGENTS.md guide, OpenAI Codex docs
Prose minimizationcompleteuser concern, Agent Skills progressive disclosure
Command precisioncompleteAGENTS.md examples, repo contribution conventions
CLAUDE.md compatibilitycompleteexisting skill behavior, local repo convention
Provider-specific variancepartialOpenAI Codex docs covered; other tools deferred until a concrete repo need

Open gaps

  1. Add provider-specific discovery notes only when a concrete repository or tool requires them.

  2. Add durable before/after examples only if future changes regress into long prose or vague references.

Stopping rationale

Further retrieval is currently low-yield. The source pack covers local repo policy, the official AGENTS.md format guide, OpenAI Codex discovery behavior, and the Agent Skills specification.

Changelog

  • 2026-05-04: Added source-backed external reference guidance, nested-scope rules, SPEC.md, and provenance.

Requirements and compatibility

Works with: Claude Code, Claude apps, OpenAI Codex, GitHub Copilot, Cursor, Gemini CLI, Kiro, OpenCode, Goose, Amp, Roo Code, JetBrains Junie, Factory Droid, Devin (ex-Windsurf), Mistral Vibe, OpenHands, Letta

“Works with” means the tool reads the open Agent Skills format; a skill written for one tool may use features others lack.

Needs: Needs Node.js

Security

No issues found by our static scan· No issues found

A static scan is not a guarantee. Skills are third-party content: review a skill before you let an agent use it.

Attribution and licence

Published by
Sentry
Publisher
Sentry (Official)
Source
getsentry/skills · skills/agents-md · commit e94f222
Licence
Apache License 2.0 (redistribution allowed)
  • LICENSE (added by AutoGineer from LICENSE)
  • ATTRIBUTION.md (written by AutoGineer)
Synced

AutoGineer is not affiliated with or endorsed by Sentry or Sentry.

Download ZIP

The ZIP holds the skill’s files, its licence files and an ATTRIBUTION.md. Download agents-md.zip