Borrowing it
Nothing to install: this file belongs to Dokkabei97/all-agents-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/Dokkabei97/all-agents-mcp/master/CLAUDE.mdgit clone --depth 1 https://github.com/Dokkabei97/all-agents-mcpWrote 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.
[](https://agentmods.dev/instructions/dokkabei97/all-agents-mcp/claude-md)<a href="https://agentmods.dev/instructions/dokkabei97/all-agents-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/dokkabei97/all-agents-mcp/claude-md/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/instructions/dokkabei97/all-agents-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/dokkabei97/all-agents-mcp/claude-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.01721 | $0.01721 |
| Opus 5 | $0.00860 | $0.00860 |
| Sonnet 5 | $0.00344 | $0.00344 |
| Haiku 4.5 | $0.00172 | $0.00172 |
Grade A, and why
all-agents-mcp CLAUDE.md scanned grade A with 1 finding 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 9d ago.
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.
Runs shell commandslowCapability
Expected in a hook, worth knowing in a rule or an instructions file.
- **`executor.ts`**: `spawnAgent()` — low-level `child_process.spawn` with `AbortController` timeout. All CLI invocations go through here. How it starts
The opening of the file, as written. The whole thing — 116 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
Project Overview
all-agents-mcp is a stdio-based MCP server that orchestrates multiple AI CLI agents (Claude Code, Codex, Gemini CLI, Copilot CLI) through a unified interface. Exposes 14 tools and 3 resources.
Development methodology: This project follows AIDE (Agent-Informed Development Engineering) v1.0 — a software development methodology for the agentic era. See AIDE-REFERENCE.md for the full reference. Key adopted principles noted below with [AIDE P#] tags.
Build & Development Commands
npm run build # TypeScript compilation (tsc → dist/)
npm run dev # Watch mode (tsc --watch)
npm run lint # Biome check with auto-fix (biome check --write .)
npm test # Run all tests (vitest run)
npm run test:watch # Watch mode tests (vitest)
npx vitest run src/path/to/file.test.ts # Run a single test file
Debug logging: AA_MCP_LOG_LEVEL=debug node dist/index.js (levels: debug, info, warn, error)
Architecture
Entry Flow
src/index.ts → createServer() in src/server.ts → registers all tools/resources → connects StdioServerTransport.
Layer Structure [AIDE P2: Locality]
src/
├── agents/ # Agent abstraction — IAgent interface + per-agent implementations
├── orchestrator/ # Process spawning, parallel execution, complexity analysis, verification
├── tools/ # 14 MCP tool definitions (one file = one tool)
├── resources/ # 3 MCP resource definitions
├── session/ # File-based JSON session storage (~/.all-agents-mcp/sessions/)
├── config/ # Env var config loader (AA_MCP_* overrides) + Zod schema
├── utils/ # Logger (stderr-only), CLI detection
├── server.ts # McpServer factory — registers all tools and resources
└── index.ts # Entry point — stdio transport connection
Agent Layer (src/agents/)
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.
- 9d ago First seen · 116 lines · 1,721 tokens per session scan A f39c64a38918
all-agents-mcp CLAUDE.md is an instructions file published in the GitHub repository Dokkabei97/all-agents-mcp (14 stars, last pushed 5mo ago), licensed MIT. It adds 1,721 tokens to every session, about $0.0086 per session on Opus 5. A static security scan graded it A with 1 finding (runs shell commands). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other instructions, from other repositories
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
deepseek-harness AGENTS.md
AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.