GitSense
Description
AI-powered open source contribution finder and repo radar
Installation
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open the source below and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
README
Tell it your skills → it searches GitHub for open issues you can fix → ranks them by match → scores repos by maintainer responsiveness and PR merge patterns.
[](https://pypi.org/project/gitsense-radar/) [](LICENSE) [](https://www.python.org/downloads/) [](https://github.com/he-yufeng/GitSense/actions)
**[English](README.md) · [中文](README_CN.md)** · [Quick Start](#quick-start) · [Demo](#demo) · [How It Works](#how-it-works)
The Problem
You want to contribute to open source, but finding the right issue is painful. You scroll through hundreds of issues on GitHub, most of which are either claimed, too vague, out of your skill range, or just not worth the effort. By the time you find something decent, you've burned an hour on browsing alone.
**GitSense** does the searching for you. It queries GitHub for open, unassigned issues across thousands of repos, then uses an LLM to rank them by how well they match YOUR specific skills and tell you exactly how to get started.
The new Radar mode answers the next question: is this repo actually worth your PR? It checks public PR history, stale backlog, open-to-merged PR pressure, outsider merge ratio, and maintainer response time before you invest a weekend in a repo that might ignore good work.
Quick Start
pip install gitsense-radar
# Find open issues that match your skills, ranked by an LLM
gitsense find --skills python,llm,cuda
# Scan one repo, or score repos before you invest a weekend
gitsense scan vllm-project/vllm --skills python,cuda
gitsense radar vllm-project/vllm microsoft/qlib
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