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llm-codes CLAUDE.md

llm-codes CLAUDE.md is an instructions file for Claude Code from amantus-ai/llm-codes. It costs 572 tokens per session, scanned A, original, MIT.

A development guide for llm.codes, a tool that turns JavaScript-heavy documentation websites into Markdown that AI systems can read. It covers the project's commands, architecture, scraping endpoint, caching, and content processing.

In plain words
What is it for?
Use it to develop, build, test, type-check, and lint the application, or to change how it validates documentation URLs, fetches pages, caches results, and processes content.
Why use it?
Some documentation is rendered in the browser and is difficult for AI agents to read directly; this project converts it into simpler text.

Instructions file for Claude Code

Written for Claude Code: the file is CLAUDE.md. Also seen: mentions CLAUDE.md; mentions Claude Code.

not rated 346 1mo ago A scan 572 tokens original MIT
View the source file amantus-ai/llm-codes llm.codes
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add instructions/amantus-ai/llm-codes/claude-md
Clone the repo
git clone --depth 1 https://github.com/amantus-ai/llm-codes

Made for: Claude Code.

Wrote 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.

agentmods badge for llm-codes CLAUDE.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/amantus-ai/llm-codes/claude-md.svg)](https://agentmods.dev/instructions/amantus-ai/llm-codes/claude-md)
Your own site
<a href="https://agentmods.dev/instructions/amantus-ai/llm-codes/claude-md"><img src="https://agentmods.dev/badge/instructions/amantus-ai/llm-codes/claude-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 572 This file is loaded in full into every session.
When invoked 572 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00572 $0.00572
Opus 5 $0.00286 $0.00286
Sonnet 5 $0.00114 $0.00114
Haiku 4.5 $0.00057 $0.00057

Measured 6d ago against content hash 46091e9a70d0, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

llm-codes 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 6d 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.

CLAUDE.md · 78 lines

How it starts

The opening of the file, as written. The whole thing — 78 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.

Development Commands

Building and Running

  • pnpm run dev - Start development server with Turbopack (fast HMR)
  • pnpm run build - Build production bundle
  • pnpm start - Start production server
  • pnpm run type-check - Run TypeScript type checking

Testing and Quality

  • pnpm test - Run all tests with Vitest
  • pnpm run test:ui - Run tests with interactive UI
  • pnpm run test:coverage - Generate test coverage report
  • pnpm run lint - Run lint and format checks

Architecture Overview

Core Concept

llm.codes converts JavaScript-heavy documentation sites into clean Markdown for AI consumption. It solves the problem of AI agents being unable to parse modern documentation that relies on client-side rendering.

Key Components

  1. API Endpoint (/api/scrape/route.ts):

    • Validates URLs against 69 whitelisted documentation domains
    • Implements 30-day in-memory caching
    • Uses Firecrawl API for JavaScript rendering
    • Handles retries with exponential backoff

  2. Content Processing Pipeline (/utils/):

    • content-processing.ts: Multi-stage filtering (navigation, URLs, deduplication)
    • documentation-filter.ts: Comprehensive content cleaning
    • scraping.ts: Parallel URL processing (20 concurrent)
    • url-utils.ts: Domain validation and URL extraction

  3. Frontend (/app/page.tsx):

    • React 19 with TypeScript strict mode
    • Tailwind CSS v4 with semantic color system
    • Real-time progress tracking
    • Browser notifications support

Processing Flow

  1. User enters documentation URL
  2. Frontend validates against allowed domains
  3. API checks cache, then fetches via Firecrawl
  4. Content undergoes multi-stage filtering
  5. Parallel processing for multi-page crawls (depth 0-5)
  6. Returns clean Markdown optimized for AI context

Performance Optimizations

  • Parallel batch processing (20 URLs concurrently)
  • Set-based URL deduplication
  • Progressive UI updates
  • 30-day cache reduces API calls by 70%+

Read the full file on GitHub · 78 lines

Changes

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.

  1. 6d ago First seen · 78 lines · 572 tokens per session scan A 46091e9a70d0

Subscribe to this mod's changes

llm-codes CLAUDE.md is an instructions file published in the GitHub repository amantus-ai/llm-codes (346 stars, last pushed 1mo ago), licensed MIT. It adds 572 tokens to every session, about $0.0029 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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