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git clone https://github.com/dingyufei615/ai-code-review-helper.gitTaken 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 | 28 |
| Language | Python |
| Category | AI Tool |
| License | Apache-2.0 |
| Quality Score | 55/100 |
| Open Issues | 2 |
| Last Updated | 2025-07-01 |
| Created | 2025-05-07 |
| Platforms | browser, python |
| Est. Tokens | ~13k |
Deutsch | English | Español | français | 日本語 | 한국어 | Português | Русский | 中文 AI Code Review Helper 一个基于 LLM 的自动化代码审查助手。通过 GitHub/GitLab Webhook 监听 PR/MR 变更，调用 AI 分析代码，并将审查意见自动评论到 PR/MR，同时支持多种通知渠道。 点击观看B站演示视频 由于 GitHub 的限制，无法直接嵌入视频播放器。 主要功能 多平台支持: 集成 GitHub 和 GitLab Webhook，监听 Pull Request / Merge Request 事件。 智能审查模式: 详细审查 (, ): AI...
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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: