How I Built a Local Tool That Maps Any Codebase in 55 Seconds No Cloud, No Uploads

I spend a lot of time working with AI coding agents Claude Code, Cline, Cursor, OpenCode. And every time I start a new task in a large repo, I hit the same wall: the agent has no idea what the codebase looks like.

So I built Sentinel.

What it does

Point it at any repo. It scans everything locally (no uploads, no API keys, no internet needed) and produces:

• 🏗️ Architecture map — components, dependencies, patterns
• 💊 Health score — maintainability, complexity, test coverage
• 🔥 Risk hotspots — oversized files, TODO density, doc drift
• 🎯 Entry points — what the AI should focus on first
• 🤖 Agent prompt — ready-to-paste into Claude Code / Cline / Cursor
• 📄 HTML report — self-contained, zero external assets

Why local-only matters

Every scan runs entirely on your machine. No code leaves your disk. No API calls. Pure Python stdlib — zero external dependencies.

The AI agent prompt it generates a total of (~2,500 tokens) replaces hours of manually reading files and explaining the codebase to your agent.

Get it

bash
pip install git+https://github.com/Ntooxx/Sentinel.git
project-sentinel scan . --fast
🔗 GitHub: https://github.com/Ntooxx/Sentinel
🌐 Dashboard demo: sentinel-nt.netlify.app
📦 197 tests, 0 failures
Let me know what breaks or what's missing. I'm actively improving it.