Borrowing it
Nothing to install: this file belongs to stevebrownlee/storybook-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/stevebrownlee/storybook-mcp/main/AGENTS.mdgit clone --depth 1 https://github.com/stevebrownlee/storybook-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/stevebrownlee/storybook-mcp/agents-md)<a href="https://agentmods.dev/instructions/stevebrownlee/storybook-mcp/agents-md"><img src="https://agentmods.dev/badge/instructions/stevebrownlee/storybook-mcp/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/stevebrownlee/storybook-mcp/agents-md"><img src="https://agentmods.dev/badge/instructions/stevebrownlee/storybook-mcp/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 | $0.02809 | $0.02809 |
| Opus 5 | $0.01404 | $0.01404 |
| Sonnet 5 | $0.00562 | $0.00562 |
| Haiku 4.5 | $0.00281 | $0.00281 |
Grade A, and why
storybook-mcp 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 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.
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 — 223 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md
Context file for LLM coding agents (Claude Code, Roo Code, Kilo Code, Cursor, Windsurf, Copilot, etc.) working in this repository.
Project Overview
storybook-mcp is a Python MCP (Model Context Protocol) server that connects AI coding agents to a running Storybook instance. It exposes four tools over the MCP stdio transport so agents can browse, inspect, create, and compose UI components without leaving their workflow.
- Language: Python 3.10+
- MCP framework: FastMCP (
mcp[cli]) - HTTP client: httpx (async)
- Validation: Pydantic v2
- Build system: Hatchling
- Entry point:
storybook_mcp.server:main(registered asstorybook-mcpconsole script) - Transport: stdio (designed for local agent integration)
Repository Structure
storybook-mcp/
├── AGENTS.md # ← You are here
├── README.md # User-facing docs, install & config
├── pyproject.toml # Package metadata, deps, entry point
└── src/
└── storybook_mcp/
├── __init__.py
└── server.py # All server code: tools, models, helpers
Everything lives in a single server.py file. This is intentional — MCP servers should be easy to audit and deploy. If the file grows beyond ~2000 lines, consider splitting into tools.py, models.py, and codegen.py within the same package.
Architecture
┌─────────────┐ stdio/JSON-RPC ┌──────────────────┐ HTTP ┌───────────────┐
│ AI Agent │ ◄───────────────► │ storybook-mcp │ ◄──────► │ Storybook │
│ (Roo/Kilo/ │ │ (FastMCP server) │ │ Dev Server │
│ Claude) │ └──────────────────┘ │ :6006 │
└─────────────┘ │ └───────────────┘
│ filesystem
▼
┌──────────────┐
│ src/components │
│ (scaffolded │
│ files) │
└──────────────┘
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 · 223 lines · 2,809 tokens per session scan A 536722f704a3
storybook-mcp AGENTS.md is an instructions file published in the GitHub repository stevebrownlee/storybook-mcp (0 stars, last pushed 6mo ago), licensed MIT. It adds 2,809 tokens to every session, about $0.0140 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.