repo-slopscore: Detecting AI/LLM contributions in git repositories via commit history analysis

repo-slopscore: Detecting AI/LLM contributions in git repositories via commit history analysis

repo-slopscore: 通过提交历史分析检测 Git 仓库中的 AI/LLM 代码贡献

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The repo-slopscore project provides a mechanism to scan and analyze git repositories to identify potential AI or Large Language Model (LLM) generated contributions. By examining commit history and patterns, the tool attempts to quantify the extent to which AI-assisted coding has influenced a codebase.

repo-slopscore 项目提供了一种扫描和分析 Git 仓库的机制，旨在识别潜在的由人工智能（AI）或大语言模型（LLM）生成的代码贡献。通过检查提交历史和模式，该工具试图量化 AI 辅助编程对代码库的影响程度。

The project maintains a continuous log of repository scans, covering a wide range of platforms including GitHub, Codeberg, and various self-hosted git instances. Recent activity shows automated analysis of thousands of repositories, such as kibana, valetudo, and forgejo, with timestamps indicating ongoing monitoring of these projects.

该项目维护着一份持续更新的仓库扫描日志，涵盖了 GitHub、Codeberg 以及各种自托管 Git 实例等广泛平台。最近的活动显示，该工具已对数千个仓库进行了自动化分析，例如 kibana、valetudo 和 forgejo 等，时间戳显示这些项目正处于持续监控之中。

This tool serves as a diagnostic utility for developers and maintainers who wish to audit their project’s provenance or understand the prevalence of AI-generated code within their development workflows.

对于希望审计项目来源或了解开发工作流中 AI 生成代码普及程度的开发者和维护者来说，该工具可作为一种诊断实用程序。