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git clone https://github.com/domvwt/chatgpt-code-review.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 | 291 |
| Forks | 42 |
| Language | Python |
| Category | AI Tool |
| Quality Score | 61/100 |
| Open Issues | 5 |
| Last Updated | 2023-08-29 |
| Created | 2023-03-18 |
| Platforms | python |
| Est. Tokens | ~14k |
ChatGPT Code Review ChatGPT Code Review is an app designed to help software developers improve their code quality by leveraging the power of OpenAI's large language models. The app analyzes the code in a given GitHub repository and provides recommendations to enhance the code. It is a valuable tool for developers, allowing them to discover potential issues in their codebase.
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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: