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npm i @buxuku/ai-code-reviewerTaken from the project's README on GitHub. Check the security audit before running it.
None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.
| Stars | 90 |
| Forks | 27 |
| Language | TypeScript |
| Category | AI Tool |
| License | MIT |
| Quality Score | 55/100 |
| Open Issues | 4 |
| Last Updated | 2023-05-31 |
| Created | 2023-05-26 |
| Platforms | node |
| Est. Tokens | ~8k |
@buxuku/ai-code-reviewer 介绍 是一款应用于 GitLab Merge Request 代码审查的小工具，支持调用私有化部署的 GitLab API，并使用 OpenAI API 获取审查结果。请注意，在使用它时，需要确保符合公司合规要求。😉 特点 🛠️ 支持配置 GitLab API 地址 🌍 支持配置 OpenAI 代理 API 地址，解决国内可能无法访问 OpenAI API 的问题 🆔 支持配置 OpenAI 组织 ID ⚙️ 支持配置多个 OpenAI API Key 实现接口调用的负载均衡（多个 Key 以逗号分隔） 🚦 超过速率限制时，自动等待并重试 💬 审查结果以评论的方式追加到对应的代码块所在位置 安装 使用 通过 Shell 脚本使用 示例: 在 CI 中使用 在 GitLab CI/CD 中设置 和 变量， 如下： yml...
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Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: