agents-md

agents-md is a skill for Claude Code, Codex from henryalouf/ruflow. It costs 62 tokens per session (1,096 once invoked), scanned A, original, MIT.

A workflow for creating and maintaining concise AGENTS.md files, which are project documents that tell coding agents about the repository’s tools, commands, and conventions.

In plain words
What is it for?
Use it to create, update, or review AGENTS.md and CLAUDE.md files based on a project’s actual setup.
Why use it?
It helps keep agent instructions accurate and short instead of duplicating configuration or filling the file with outdated guidance.

Skill for Claude CodeCodex

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/henryalouf/ruflow/agents-md
Any agent
npx skills add henryalouf/ruflow --skill agents-md
Clone the repo
git clone --depth 1 https://github.com/henryalouf/ruflow

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for agents-md

README.md
[![agentmods](https://agentmods.dev/badge/skills/henryalouf/ruflow/agents-md.svg)](https://agentmods.dev/skills/henryalouf/ruflow/agents-md)
Your own site
<a href="https://agentmods.dev/skills/henryalouf/ruflow/agents-md"><img src="https://agentmods.dev/badge/skills/henryalouf/ruflow/agents-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 62 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,096 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00062 $0.01096
Opus 5 $0.00031 $0.00548
Sonnet 5 $0.00012 $0.00219
Haiku 4.5 $0.00006 $0.00110

Measured yesterday against content hash bc219a7cc85f, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

agents-md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured yesterday.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

Copies of this mod

8 near-identical copies found in the catalogue:

.agents/skills/agents-md/SKILL.md · 127 lines

How it starts

The opening of the file, as written. The whole thing — 127 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Maintaining AGENTS.md

AGENTS.md is the canonical agent-facing documentation. Keep it minimal—agents are capable and don't need hand-holding. Target under 60 lines; never exceed 100. Instruction-following quality degrades as document length increases.

When to Use

  • The user asks to create, update, or audit AGENTS.md or CLAUDE.md.
  • The project needs concise, high-signal agent instructions derived from the actual toolchain and repo layout.
  • Existing agent documentation is too long, duplicated, or drifting away from real project conventions.

File Setup

  1. Create AGENTS.md at project root
  2. Create symlink: ln -s AGENTS.md CLAUDE.md

Before Writing

Analyze the project to understand what belongs in the file:

  1. Package manager — Check for lock files (pnpm-lock.yaml, yarn.lock, package-lock.json, uv.lock, poetry.lock)
  2. Linter/formatter configs — Look for .eslintrc, biome.json, ruff.toml, .prettierrc, etc. (don't duplicate these in AGENTS.md)
  3. CI/build commands — Check Makefile, package.json scripts, CI configs for canonical commands
  4. Monorepo indicators — Check for pnpm-workspace.yaml, nx.json, Cargo workspace, or subdirectory package.json files
  5. Existing conventions — Check for existing CONTRIBUTING.md, docs/, or README patterns

Writing Rules

  • Headers + bullets — No paragraphs
  • Code blocks — For commands and templates
  • Reference, don't embed — Point to existing docs: "See CONTRIBUTING.md for setup" or "Follow patterns in src/api/routes/"
  • No filler — No intros, conclusions, or pleasantries
  • Trust capabilities — Omit obvious context
  • Prefer file-scoped commands — Per-file test/lint/typecheck commands over project-wide builds
  • Don't duplicate linters — Code style lives in linter configs, not AGENTS.md

Required Sections

Package Manager

Which tool and key commands only:

## Package Manager
Use **pnpm**: `pnpm install`, `pnpm dev`, `pnpm test`

Read the full file on GitHub · 127 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. yesterday First seen · 127 lines · 62 tokens per session scan A bc219a7cc85f

Subscribe to this mod's changes

agents-md is a skill published in the GitHub repository henryalouf/ruflow (122 stars, last pushed 3mo ago), licensed MIT. It adds 62 tokens to every session and 1,096 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

Related

Other skills, from other repositories

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

chronicle

Analyze Copilot session history for standup reports, usage tips, session search, and session reindexing. Use when the user asks for a standup, daily summary, usage tips, workflow recommendations, wants to search or find past sessions by keyword/file/PR, wants to reindex their session store, or asks about deleting…

microsoft/vscode · 72 tokens

imagegen

Generate or edit raster images when the task benefits from AI-created bitmap visuals such as photos, illustrations, textures, sprites, mockups, or transparent-background cutouts. Use when Codex should create a brand-new image, transform an existing image, or derive visual variants from references, and the output…

openai/codex · 113 tokens

chat-pet-sprite-creation

Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.

microsoft/vscode · 53 tokens

cpu-profile-analysis

Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…

microsoft/vscode · 71 tokens