Borrowing it
Nothing to install: this file belongs to OlliMakarova/mcp-metro. 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/OlliMakarova/mcp-metro/master/AGENTS.mdgit clone --depth 1 https://github.com/OlliMakarova/mcp-metroWrote 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/ollimakarova/mcp-metro/agents-md)<a href="https://agentmods.dev/instructions/ollimakarova/mcp-metro/agents-md"><img src="https://agentmods.dev/badge/instructions/ollimakarova/mcp-metro/agents-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/ollimakarova/mcp-metro/agents-md"><img src="https://agentmods.dev/badge/instructions/ollimakarova/mcp-metro/agents-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 | $0.05424 | $0.05424 |
| Opus 5 | $0.02712 | $0.02712 |
| Sonnet 5 | $0.01085 | $0.01085 |
| Haiku 4.5 | $0.00542 | $0.00542 |
Grade A, and why
mcp-metro 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 8d 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.
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.
How it starts
The opening of the file, as written. The whole thing — 454 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.
What This Is
An MCP (Model Context Protocol) server built on the fa-mcp-sdk framework. It exposes tools, prompts, and resources to AI agents via STDIO or HTTP/SSE transports.
Commands
# Build & run
yarn build # tsc
yarn cb # clean dist/ + build
yarn start # node dist/src/start.js (HTTP mode)
node dist/src/start.js stdio # STDIO mode (Claude Desktop)
# Lint & typecheck
yarn lint # oxlint
yarn lint:fix # oxlint --fix
yarn format # oxfmt --check
yarn format:fix # oxfmt
yarn typecheck # tsc --noEmit
# Tests
yarn test # jest (all tests)
yarn test:mcp # STDIO transport tests
yarn test:mcp-http # HTTP transport tests
yarn test:mcp-sse # SSE transport tests
npx jest tests/path/to/file.test.ts # single test file
# Utilities
yarn check-llm # Validate OpenAI API key for Agent Tester
yarn generate-token # JWT token generator UI
# JWT token generation (CLI)
node scripts/generate-jwt.js -u <username> -ttl <duration> [-s <service>] [-p <params>]
# duration: <N>s | <N>m | <N>d | <N>y
# example: node scripts/generate-jwt.js -u admin -ttl 30d -s my-mcp -p "role=admin;team=ops"
# JWT generation API (HTTP endpoint, requires webServer.genJwtApiEnable: true)
# POST /gen-jwt {"username":"user","ttl":"30d","service":"svc","params":"key=val"}
yarn consul:unreg # deregister from Consul
JWT Token Generation (Skill /gen-jwt)
Generate JWT tokens for MCP server authentication using the /gen-jwt skill.
Triggers: user asks to generate/create a JWT token, mentions "jwt", "token for user", "generate a token for".
Start/stop the server: yarn build && yarn start. Stop with Ctrl+C. Port is in config/default.yaml → webServer.port. Force stop: node scripts/kill-port.js <port>.
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.
- 8d ago First seen · 454 lines · 5,424 tokens per session scan A 8538b852183c
mcp-metro AGENTS.md is an instructions file published in the GitHub repository OlliMakarova/mcp-metro (0 stars, last pushed 1mo ago), licensed MIT. It adds 5,424 tokens to every session, about $0.0271 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 2026-08-31.
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.