GitHub Pull Request audit toolkit with LLM and CLI support
Project description
RepoRadar 🛰️
RepoRadar is a GitHub Pull Request audit and analytics toolkit built with Python.
It can be run in two modes:
- ✅ Standalone CLI-based audit with simple config input.
- 🤖 LLM-integrated server (via MCP protocol) for natural language-driven code review analytics.
🔧 Features
- 📊 Pull request insights by team, author, or date range
- ✅ Track test failures, large PRs, non-main merges
- 🧠 LLM integration (e.g., GPT-4o / o3-mini) via MCP (Model Context Protocol)
- 📁 Output as JSON or Markdown
- 🔌 GitHub API (via
PyGithub) - ⚙️ Designed for CI, cron, or local use
📦 Steps to Install and Use the toolkit
- Install using the below command
pip install repo-radar
- Copy and use the example json to include required configurations. config.example.json at repo_radar/examples
- Run the following CLI by passing the config.json path
repo-radar-config-audit --config path/to/config.json
- To automatically pick and run the query using LLM
- Add the OpenAI API token to .env file, and use the below command
- Run the following CLI by passing the config.json path and the prompt
repo-radar-llm-audit --config path/to/config.json --prompt "Which were stale PRs last week"
⬇️ To Contribute: Clone the repository and install the dependencies as follows:
git clone https://github.com/karthickshanmugarao/repo-radar.git
cd repo-radar
pip install uv
uv pip install .
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