Hi HN. I built a CLI to install skills for AI coding agents from GitHub. Supports 30+ agents including Claude Code, Cursor, and Copilot.

Feedback welcome.

I recently reviewed some code written by a non-engineer using Cursor's vibe coding. It was full of dead code and patchwork logic. Vibe coding can build a working prototype, but maintaining it? That's another story.

So I built a GitHub App that audits your Python codebase. It reviews PRs and runs weekly scans on the entire repo, catching complex functions, dead code, and duplicates. When it finds issues, it posts comments and Issues with concrete suggestions.

It's powered by pyscn (https://github.com/ludo-technologies/pyscn), a static analyzer I open-sourced a few months ago.

Happy to answer questions.

I built a GitHub App that monitors your Python codebase for quality issues.

It reviews PRs and runs weekly audits on the entire repo. When it finds problems, it posts them as comments or Issues with concrete suggestions.

I open-sourced pyscn ([https://github.com/ludo-technologies/pyscn](https://github.com/ludo-technologies/pyscn)) a few months ago. I liked what it could do, but wanted to make it more accessible and more powerful. Combining it with an LLM felt like the right next step. pyscn-bot is the result.

It catches things like complex functions, dead code, and duplicated logic. It can also analyze your entire codebase architecture, something most review bots can't do since they only look at diffs.

Happy to answer questions.

So what happens when they swap Claude for Llama under the hood?