Borrowing it
Nothing to install: this file belongs to ThreeFish-AI/analysis_claude_code. 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/ThreeFish-AI/analysis_claude_code/main/CLAUDE.mdgit clone --depth 1 https://github.com/ThreeFish-AI/analysis_claude_codeWrote 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/threefish-ai/analysis_claude_code/claude-md)<a href="https://agentmods.dev/instructions/threefish-ai/analysis_claude_code/claude-md"><img src="https://agentmods.dev/badge/instructions/threefish-ai/analysis_claude_code/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/threefish-ai/analysis_claude_code/claude-md"><img src="https://agentmods.dev/badge/instructions/threefish-ai/analysis_claude_code/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 | $0.00961 | $0.00961 |
| Opus 5.5 | $0.00384 | $0.00384 |
| Sonnet 5.5 | $0.00192 | $0.00192 |
| Haiku 4.5 | $0.00096 | $0.00096 |
Grade A, and why
analysis_claude_code 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 2mo 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 — 120 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.
Repository Overview
This is a research repository containing reverse engineering analysis of Claude Code v1.0.33. The repository focuses on understanding the architecture, mechanisms, and implementation patterns of modern AI Agent systems through systematic analysis of obfuscated source code.
Project Structure
Main Analysis Workspace
claude_code_v_1.0.33/stage1_analysis_workspace/- Complete analysis results for v1.0.33chunks/- Deobfuscated code chunks (102 files) split from the main CLI filedocs/- Comprehensive technical documentation and analysis reportsscripts/- Analysis tools and utilities for processing obfuscated code
Key Directories
analysis_results/merged-chunks/- Optimized and merged code blocksdocs/Open-Claude-Code/- Open source reconstruction project templatework_doc_for_this/- Project methodology and standard operating procedures
Common Commands
Based on the analysis workspace structure, the following commands are commonly used:
Code Analysis and Processing
# Beautify and format obfuscated code
node scripts/beautify.js source/cli.mjs
# Split large files into manageable chunks
node scripts/split.js cli.beautify.mjs
# Merge and improve code chunks
node scripts/merge-again.js
# LLM-assisted analysis of code segments
node scripts/llm.js
Development Commands (Open-Claude-Code Project)
# Build TypeScript project
npm run build
# Run tests with coverage
npm run test:coverage
# Performance benchmarking
npm run benchmark
# Code quality checks
npm run lint
npm run validate
# Development mode
npm run dev
Architecture Insights
Core Technical Discoveries
- h2A Async Message Queue System - Real-time steering mechanism with dual-buffer architecture
- Multi-layered Agent Architecture - Main agent loop (nO), sub-agents (I2A), and task-specific agents
- Intelligent Context Management - 92% threshold auto-compression with wU2 compressor
- 6-Layer Security Framework - From UI validation to execution sandboxing
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.
- 2mo ago First seen · 120 lines · 961 tokens per session scan A ff35f0b7a525
analysis_claude_code CLAUDE.md is an instructions file published in the GitHub repository ThreeFish-AI/analysis_claude_code (316 stars, last pushed 1y ago), licensed Apache-2.0. It adds 961 tokens to every session, about $0.0038 per session on Opus 5.5. 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.
analysis_claude_code CLAUDE.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| analysis_claude_code CLAUDE.mdThreeFish-AI/analysis_claude_code | Instructions file | 316 | 1y ago | Apache-2.0 | A | 961 | Claude Code |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 9,719 | GitHub Copilot |
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| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |