Borrowing it
Nothing to install: this file belongs to bradleygolden/hexdocs-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/bradleygolden/hexdocs-mcp/main/CLAUDE.mdgit clone --depth 1 https://github.com/bradleygolden/hexdocs-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/bradleygolden/hexdocs-mcp/claude-md)<a href="https://agentmods.dev/instructions/bradleygolden/hexdocs-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/bradleygolden/hexdocs-mcp/claude-md.svg" alt="Measured on agentmods" 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 | $0.02253 | $0.02253 |
| Opus 5 | $0.01126 | $0.01126 |
| Sonnet 5 | $0.00451 | $0.00451 |
| Haiku 4.5 | $0.00225 | $0.00225 |
Grade A, and why
hexdocs-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 7d 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 — 238 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
HexDocs MCP is a project that provides semantic search capabilities for Hex package documentation, designed specifically for AI applications. It downloads, processes, and generates embeddings from Hex package documentation and provides a Model Context Protocol (MCP) server for searching.
Architecture
Core Components
-
Application Entry Points
HexdocsMcp.Application- OTP application for development/test environmentsHexdocsMcp.CLI- Main CLI entry point for both Mix task and standalone executableMix.Tasks.Hex.Docs.Mcp- Mix task wrapper
-
Core Modules
HexdocsMcp.Embeddings- Generates and searches vector embeddingsHexdocsMcp.Docs- Fetches documentation from HexHexdocsMcp.Markdown- Converts HTML to MarkdownHexdocsMcp.Repo- Ecto repository for SQLite databaseHexdocsMcp.Config- Centralized configuration and dependency injectionHexdocsMcp.Ollama- Wrapper for Ollama AI integrationHexdocsMcp.MixDeps- Parses mix.exs dependenciesHexdocsMcp.Version- Semantic version comparison and filtering
-
CLI Modules
HexdocsMcp.CLI.FetchDocs- Implements fetch_docs commandHexdocsMcp.CLI.SemanticSearch- Implements semantic_search commandHexdocsMcp.CLI.HexSearch- Implements hex_search commandHexdocsMcp.CLI.FulltextSearch- Implements fulltext_search commandHexdocsMcp.CLI.CheckEmbeddings- Implements check_embeddings commandHexdocsMcp.CLI.Progress- Rich progress indicatorsHexdocsMcp.CLI.Utils- Shared CLI utilities
Data Flow
- Document Fetching:
mix hex.docs fetch_docs→ HTML files - Conversion: HTML → Markdown using Floki
- Chunking: Markdown → Semantic chunks (2000 chars, 200 overlap)
- Embedding: Chunks → 384-dimensional vectors via Ollama
- Storage: Embeddings → SQLite with vector extension
- Search: Query → Embedding → Vector similarity search → Version filtering (latest by default)
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.
- 7d ago First seen · 238 lines · 2,253 tokens per session scan A d1c789d0b175
hexdocs-mcp CLAUDE.md is an instructions file published in the GitHub repository bradleygolden/hexdocs-mcp (70 stars, last pushed 1y ago), licensed MIT. It adds 2,253 tokens to every session, about $0.0113 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 2026-08-30.
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