What problem does it solve? Evaluating an unfamiliar GitHub project requires digging through READMEs, Issues, commits, and scattered community discussions across platforms, which is slow and often produces shallow conclusions. ## Core Features & Use Cases - Multi-source collection: Gathers data from the GitHub API (README, metadata, Issues, commits), Chinese communities (Zhihu, V2EX, WeChat), tech blogs (Medium, Dev.to), and Twitter discussions. - Project health assessment: Judges project stage (early experiment, fast growth, mature, stagnant) from commit trends and selects high-quality Issues with maintainer participation. - Competitive and knowledge-graph analysis: Identifies competing projects with links, and checks DeepWiki and Zread.ai coverage. - Use Case: Ask about a project like microsoft/graphrag and receive a structured Chinese report covering positioning, architecture, health metrics, curated Issues, competitors, community sentiment with source links, and a final recommendation. ## Quick Start Ask your agent to analyze a GitHub project, for example: analyze the project at https://github.com/microsoft/graphrag and tell me whether it is worth using.
