Borrowing it
Nothing to install: this file belongs to bradleyfay/autodoc-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/bradleyfay/autodoc-mcp/main/CLAUDE.mdgit clone --depth 1 https://github.com/bradleyfay/autodoc-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/bradleyfay/autodoc-mcp/claude-md)<a href="https://agentmods.dev/instructions/bradleyfay/autodoc-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/bradleyfay/autodoc-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/bradleyfay/autodoc-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/bradleyfay/autodoc-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 | $0.05520 | $0.05520 |
| Opus 5 | $0.02760 | $0.02760 |
| Sonnet 5 | $0.01104 | $0.01104 |
| Haiku 4.5 | $0.00552 | $0.00552 |
Grade A, and why
autodoc-mcp CLAUDE.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 — 615 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
This is the AutoDocs MCP Server project - a fully implemented Model Context Protocol (MCP) server that automatically provides AI assistants with contextual, version-specific documentation for Python project dependencies. The goal is to eliminate manual package documentation lookup and provide more accurate AI coding assistance.
Architecture
The project follows a modular, layered architecture with comprehensive separation of concerns. The system is organized into several key layers:
Core Services Layer (src/autodocs_mcp/core/)
- dependency_parser.py: PyProject.toml parsing with graceful degradation for malformed dependencies
- dependency_resolver.py: Enhanced dependency resolution with conflict detection
- version_resolver.py: Version constraint resolution using PyPI API
- doc_fetcher.py: PyPI documentation fetching with concurrent request handling
- cache_manager.py: High-performance JSON file-based caching with version-specific keys
- context_fetcher.py: Phase 4 comprehensive context fetching with dependency analysis
- context_formatter.py: AI-optimized documentation formatting with token management
- network_client.py: HTTP client abstraction with retry logic and connection pooling
- network_resilience.py: Advanced network reliability with circuit breakers and backoff
- error_formatter.py: Structured error handling with user-friendly messages
Infrastructure Layer (src/autodocs_mcp/)
- main.py: FastMCP server with 8 MCP tools, graceful shutdown, and async lifecycle management
- config.py: Comprehensive configuration management with environment validation
- security.py: Input validation and security controls
- observability.py: Metrics collection, performance tracking, and monitoring
- health.py: Health checks for orchestration and load balancing
- models.py: Pydantic data models for type safety
- exceptions.py: Custom exception hierarchy with error context
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 · 615 lines · 5,520 tokens per session scan A d019f027cf65
autodoc-mcp CLAUDE.md is an instructions file published in the GitHub repository bradleyfay/autodoc-mcp (1 stars, last pushed 1y ago), licensed MIT. It adds 5,520 tokens to every session, about $0.0276 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.
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