Agent skill

Agents Md

by sickn33 in sickn33/agentic-awesome-skills

Create, revise, or audit AGENTS.md files from repository evidence, verified commands, and correctly scoped instructions without overwriting maintainer intent.

MITAuto-check passedAgent Workflows

Install Agents Md

skills CLI
$ npx skills add sickn33/agentic-awesome-skills --skill agents-md -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install sickn33/agentic-awesome-skills agents-md --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/agents-md .claude/skills/agents-md && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
agents-md
GitHub stars
47k
Used in
1 other repo
Token cost
~2.3k tokens
SKILL.md length
1,099 words
Files
1
Skills in repo
1,354
Repo updated
First seen
Licence
MIT

At a glance

Create, revise, or audit AGENTS.md files from repository evidence, verified commands, and correctly scoped instructions without overwriting maintainer intent.

  • Works in 5 steps: Preserve existing intent → Build a bounded evidence map → Choose the instruction scope → …
  • Tasks that involve Agent instruction files
  • SKILL.md covers Overview, When to Use, How It Works and Examples, plus 5 more sections
  • Calls rg and npm

What it does

Agents Md is an agent skill from sickn33/agentic-awesome-skills. Create, revise, or audit AGENTS.md files from repository evidence, verified commands, and correctly scoped instructions without overwriting maintainer intent.

Its SKILL.md is about 2.3k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Agent Workflows, covering Agent instruction files. The repository describes itself as: AAS Core is the local, agent-first control plane for complete catalog discovery, agent-owned selection, stack validation, and planning, backed by 2,400+ agentic skills. Includes… The licence is MIT.

When your agent uses it

  • Tasks that involve Agent instruction files

Example prompts

  • “/agents-md”

Workflow steps

5 steps, taken from the step headings in SKILL.md.

  1. Preserve existing intent
  2. Build a bounded evidence map
  3. Choose the instruction scope
  4. Write high-signal guidance
  5. Validate before handoff

What it can do on your machine

Read from SKILL.md and the folder at commit ec02547. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • rg
    • npm

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Links to these hosts (documentation or services it may open):

    • agents.md

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Agents Md loads about 2.3k tokens when it runs. Until then it costs about 42 tokens; SKILL.md has 1,099 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~42
When it runs · the whole SKILL.md, loaded when a task matches
~2.3k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from sickn33/agentic-awesome-skills at commit ec02547, republished under its MIT licence (© sickn33). 1,099 words, ~2,270 tokens.

Download SKILL.mdSave it as .claude/skills/agents-md/SKILL.md (or your agent's skills folder).
name
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.md with CLAUDE.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.md in 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:

  1. Read the project overview and contribution guidance, such as README*, CONTRIBUTING*, and relevant docs.
  2. Read manifests, lockfiles, workspace files, task runners, and build config to identify supported tools and exact commands.
  3. Read CI workflows to learn required checks. Do not assume every CI or deployment job is safe or appropriate to run locally.
  4. Inspect representative source and test files for naming, layout, and test conventions.
  5. 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:

markdown
- From the repository root, run `npm test -- path/to/file.test.ts` for a focused test.

over:

markdown
- 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
  1. Re-read each changed AGENTS.md completely.
  2. Remove contradictions, duplicate rules, placeholders, and stale claims.
  3. Confirm every mentioned file and directory exists.
  4. Cross-check commands against manifests or CI, and run safe, proportionate checks when useful.
  5. If nested files changed, confirm each contains only subtree-specific rules and does not conflict accidentally with the root.
  6. 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.

Show full SKILL.md (421 more words)Show less

Examples

Create a focused root file

Evidence found:

  • package-lock.json selects npm.
  • package.json defines lint, typecheck, and test scripts.
  • CI runs those three checks from the repository root.
  • src/generated/ is produced by npm run generate.

A useful result might include:

markdown
# 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.
  • @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.

© sickn33, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/agents-md of sickn33/agentic-awesome-skills.

Open the folder on GitHubat commit ec02547

Used in 1 other repository

We found 5 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in sickn33/agentic-awesome-skills, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Agents Md next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Agents Md compared with similar skills
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Agents Md this skillsickn33/agentic-awesome-skills47k1 repos~2.3kAutomated safety check: PassMIT
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Claude ReflectBayramAnnakov/claude-reflect1.7k2 repos~627Automated safety check: PassMIT
Writing For Agentsbestofjs/bestofjs3.1k19 repos~2.7kAutomated safety check: PassMIT
Neat-Freak Knowledge CloseoutKKKKhazix/khazix-skills21k—~1.9kAutomated safety check: PassMIT
Task Observerrebelytics/one-skill-to-rule-them-all3.2k1 repos~12kAutomated safety check: PassCC-BY-4.0

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Categories

Questions about Agents Md

What does Agents Md do?

Create, revise, or audit AGENTS.md files from repository evidence, verified commands, and correctly scoped instructions without overwriting maintainer intent. Agents Md is an agent skill from sickn33/agentic-awesome-skills.md files from repository evidence, verified commands, and correctly scoped instructions without overwriting maintainer intent.

When should I use Agents Md?

Agents Md fits situations like: tasks that involve Agent instruction files.

How do I install Agents Md in Claude Code?

Run `npx skills add sickn33/agentic-awesome-skills --skill agents-md -a claude-code`. Or copy the skill folder (skills/agents-md in sickn33/agentic-awesome-skills) into .claude/skills/agents-md in your project. Claude Code loads it when a task matches its description.

How do I install Agents Md in Codex?

Run `npx skills add sickn33/agentic-awesome-skills --skill agents-md -a codex`. Or copy the skill folder (skills/agents-md in sickn33/agentic-awesome-skills) into .agents/skills/agents-md in your project. Codex loads it when a task matches its description.

Can I use Agents Md in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add sickn33/agentic-awesome-skills --skill agents-md -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/agents-md, .gemini/skills/agents-md, .github/skills/agents-md and .opencode/skills/agents-md in your project.

What does Agents Md need to run?

Going by SKILL.md and its folder, Agents Md needs the command-line tools its instructions call (rg and npm).

Does Agents Md access the network?

SKILL.md names 1 domain. As links in the text: agents.md. This is read from the text; nothing was executed.

Is Agents Md safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Agents Md use?

Agents Md is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Agents Md use?

About 2.3k tokens (SKILL.md is roughly 9.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Agents Md?

Skills that share tags, products or a category with Agents Md: Using Agent Skills (addyosmani/agent-skills, 103k stars), Claude Reflect (BayramAnnakov/claude-reflect, 1.7k stars), Writing For Agents (bestofjs/bestofjs, 3.1k stars) and Neat-Freak Knowledge Closeout (KKKKhazix/khazix-skills, 21k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Agents Md?

sickn33 (a GitHub user) maintains it in sickn33/agentic-awesome-skills, which has 47,343 GitHub stars. The repository holds 1,354 skills in this directory. The repository was last updated on October 7, 2026.

Source: sickn33/agentic-awesome-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.