agents-md
Create, revise, or audit AGENTS.md files from repository evidence, verified commands, and correctly scoped instructions without overwriting maintainer intent.
Install / Use
npx skills add sickn33/agentic-awesome-skills --skill agents-mdInstalls into whichever agent you are using.
SKILL.md
Installable skill definition
Quality Score
Category
AutomationSupported Platforms
Our assessment of agents-md
agents-md scores 97/100 on our quality scale, 128th of 2,864 Automation skills we index (top 5%).
Its SKILL.md is 8.9 KB long, well organised into 20 sections with 3 code examples: a thorough specification that gives an agent plenty to work with.
With 46,875 GitHub stars, it is one of the more widely adopted skills in the catalogue.
Maintenance, license and trust
- The repository was last updated 7 days ago, so agents-md is actively maintained.
- It is released under the MIT 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.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| agents-md (this skill)by sickn33 | 97 | 46.9k | 7d ago | SKILL.md |
| Agent-Reachby Panniantong | 100 | 87.5k | 16d ago | CLAUDE.md |
| rufloby ruvnet | 100 | 73.7k | today | CLAUDE.md |
| Scraplingby D4Vinci | 100 | 85.0k | 1d ago | MCP Server |
| algorithmic-artby anthropics | 100 | 177.9k | 9d ago | SKILL.md |
Frequently asked questions
- How do I install agents-md?
- Run
npx skills add sickn33/agentic-awesome-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 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 MIT-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 7 days ago, so agents-md is actively maintained.
Skill content
View source on GitHubname: agents-md description: Create, revise, or audit AGENTS.md files from repository evidence, verified commands, and correctly scoped instructions without overwriting maintainer intent. category: development risk: critical source: community date_added: "2026-03-06"
Maintain AGENTS.md from repository evidence
Overview
Create or improve agent instructions that help a coding agent change the repository correctly without rediscovering its workflow. Base every repository-specific command, path, and rule on evidence in the current checkout.
Prefer a focused diff over a wholesale rewrite. There is no universal line limit, required section list, symlink layout, or commit-attribution policy; follow the repository's own needs and maintainer intent.
When to Use
- The user asks to create, update, shorten, or audit
AGENTS.md. - A monorepo needs root instructions plus narrower package-level overrides.
- Existing agent instructions contain stale commands, duplicated policy, or unsupported claims.
- The user wants to reconcile
AGENTS.mdwithCLAUDE.md,.github/copilot-instructions.md, or other repository instruction files.
Use @agents-generator instead when the task specifically calls for its
packaged generation modes, assets, or backup workflow. Use this skill when a
maintainer-readable, evidence-first edit is the primary goal.
How It Works
1. Preserve existing intent
Before writing, read every instruction file that applies to the target path,
including existing AGENTS.md files and relevant tool-specific files such as
CLAUDE.md, GEMINI.md, .github/copilot-instructions.md, and
.github/instructions/*.instructions.md.
- Improve an existing
AGENTS.mdin place when possible. - Preserve accurate maintainer-authored rules and repository-specific policy.
- Do not replace another tool's instruction file with a symlink unless the user requests it and repository evidence shows identical content is desired.
- Do not silently choose between conflicting instructions. Follow the higher-priority applicable rule, or ask when the intended policy cannot be established from the repository.
2. Build a bounded evidence map
Inspect only enough of the repository to establish how work is actually done:
- Read the project overview and contribution guidance, such as
README*,CONTRIBUTING*, and relevant docs. - Read manifests, lockfiles, workspace files, task runners, and build config to identify supported tools and exact commands.
- Read CI workflows to learn required checks. Do not assume every CI or deployment job is safe or appropriate to run locally.
- Inspect representative source and test files for naming, layout, and test conventions.
- Identify generated files, migrations, vendored code, large fixtures, secrets boundaries, and production-only operations.
Prefer rg --files and rg for discovery when available. Track the source of
each non-obvious command or rule so unsupported claims do not enter the final
file.
3. Choose the instruction scope
Use the root AGENTS.md for repository-wide guidance. Add or revise a nested
AGENTS.md only when a subtree has materially different commands,
architecture, conventions, or safety boundaries.
Keep shared rules at the root and only differences in nested files. For tools that implement the public AGENTS.md convention, the nearest file in the directory tree controls the working subtree. Do not copy the full root file into every package.
4. Write high-signal guidance
Choose headings that fit the repository instead of forcing a fixed template. Include the following only when supported by evidence:
- Repository map: the few directories and boundaries an agent must know.
- Setup and commands: exact install, development, build, lint, type-check, and test commands, with the working directory when it is not obvious.
- Focused validation: targeted checks for a small change and broader checks required before handoff.
- Change rules: generated-file ownership, migrations, schemas, APIs, dependencies, and cross-package coordination.
- Safety boundaries: secrets, production data, destructive commands, deployments, and operations that require explicit authorization.
- Contribution rules: repository-specific naming, formatting, commit, or pull-request requirements that affect implementation or handoff.
Write direct, testable statements. Prefer:
- From the repository root, run `npm test -- path/to/file.test.ts` for a focused test.
over:
- Make sure tests pass and follow best practices.
Link to maintained documentation instead of copying it. Distinguish required checks from optional, slow, privileged, or deployment-only checks.
5. Validate before handoff
- Re-read each changed
AGENTS.mdcompletely. - Remove contradictions, duplicate rules, placeholders, and stale claims.
- Confirm every mentioned file and directory exists.
- Cross-check commands against manifests or CI, and run safe, proportionate checks when useful.
- If nested files changed, confirm each contains only subtree-specific rules and does not conflict accidentally with the root.
- Review the diff as a maintainer: every added line should change an agent's decision or prevent a realistic mistake.
Report the files changed, evidence used, checks actually run, and unresolved uncertainty. Never say a command was tested when it was only read from config.
Examples
Create a focused root file
Evidence found:
package-lock.jsonselects npm.package.jsondefineslint,typecheck, andtestscripts.- CI runs those three checks from the repository root.
src/generated/is produced bynpm run generate.
A useful result might include:
# Agent instructions
## Commands
- Run commands from the repository root.
- Install with `npm ci`.
- For handoff, run `npm run lint`, `npm run typecheck`, and `npm test`.
## Generated code
- Do not edit `src/generated/` directly; update its source and run `npm run generate`.
Do not add a package manager, command, or generated-file rule that the evidence did not establish.
Revise without erasing policy
If an existing file has accurate release restrictions but a stale test command, change only the stale command and any directly affected explanation. Preserve the release restrictions, even when a shorter replacement would look cleaner.
Best Practices
- Keep instructions concise enough to scan, but let repository complexity determine length.
- Prefer repository-specific decisions over generic engineering advice.
- Include targeted commands when the project supports them; do not invent a file-scoped invocation for a tool that only supports suite-level runs.
- State where commands run and whether they modify files.
- Reference formatter and linter config instead of restating every rule.
- Make tool-specific files additive when their semantics differ; do not assume all agents interpret formats or precedence identically.
Security & Safety Notes
- Treat this as a state-changing skill because it may edit repository files. Review the diff before handoff.
- Never include secrets, credentials, internal URLs, personal data, or local environment values in agent instructions.
- Do not run deployment, publication, database mutation, history rewrite, or other consequential commands merely to validate documentation.
- Preserve approval gates already present in repository policy.
- Do not upload private repository instructions to third-party services. Ask for explicit consent before transmitting any repository content externally.
Common Pitfalls
- Guessing commands: infer tools from manifests and CI, not popularity.
- Forcing one layout: a symlink or a fixed section list may erase tool-specific or maintainer-authored guidance.
- Overwriting an existing file: make the smallest evidence-backed change.
- Copying the README: include only information that changes agent behavior.
- Duplicating nested files: keep shared guidance at the root and local differences near the relevant code.
- Claiming validation that did not run: distinguish inspection from execution in the handoff.
Limitations
- Repository evidence can be incomplete or contradictory; ask when a material policy choice cannot be resolved safely.
- A documented command may still require credentials, services, or operating system support that are unavailable locally.
- AGENTS.md support and precedence vary across coding tools; verify the target tool when interoperability matters.
- This skill improves instruction quality but cannot prove that every future agent will follow the file correctly.
Related Skills and Tools
@agents-generator- packaged generation, dry-run, update, and backup modes.@folder-specific-claude-and-agents-md- deeper guidance for scoped Claude/AGENTS instruction layouts.- agents.md - public format and scope guidance.
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Languages
Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
