开源工具 ghfind 接入 MiniCPM-V 4.7，给 GitHub 账号打分还带吐槽
OpenBMB 把自家 MiniCPM-V 4.7 接进了 ghfind，输入 GitHub 用户名就能查账号是真实贡献还是刷出来的，还能顺便被毒舌点评一下，代码也开源了。
OpenBMB 团队推出的开源平台 ghfind 目前日均访问量 1.2 万，已将主模型切换为 MiniCPM-V 4.7 API。用户输入 GitHub 用户名后，可获得 0-100 的价值与信任评分、五档评级结论和基于公开数据的吐槽与改进建议。评分覆盖 6 个维度和 10 个危险信号，用于区分真实持续贡献与刷星、机器人活动和 PR 刷量行为。每次分析需处理 30-50KB 输入并生成结构化 JSON，开发者称 MiniCPM-V 4.7 在该任务上的成功率接近 100%。
🔍 What does your GitHub profile say about your contributions?
Meet ghfind, an open-source GitHub scoring and roasting platform with 12K daily visits, now powered by our MiniCPM-V 4.7 API as its main model.
💯 Enter a GitHub username to get a 0–100 value & trust score, one of five verdict tiers, a sharp roast grounded in public data, and practical suggestions for improvement.
Six scoring dimensions and ten red-flag signals help distinguish sustained contributions from inflated stars, bot activity, and PR farming. 🔥
🧠 Behind the roast is a demanding workload: 30–50KB of input per analysis, code and contribution history to interpret, and structured JSON to generate. The developer reports near-100% success with MiniCPM-V 4.7 on these tasks.
🚀 What will you build with MiniCPM-V 4.7? We welcome your apps, demos, and real-world use cases. Share your project and tag @OpenBMB!
Try it: https://t.co/QdFslBwRqF ⭐ Explore the code: https://t.co/xAjl6spyT2 🔗 MiniCPM-V GitHub: https://t.co/msjm2QkTGp 🤗 Model info: https://t.co/W95QKGh0wY
#MiniCPM #OpenBMB #OpenSource #GitHub #AI
