by FelixNg1022 · Agent Tool · ★ 152
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npx wrangler pages deploy frontend/dist --project-name cf-ai-code-review-frontendTaken 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 | 152 |
| Forks | 1 |
| Language | TypeScript |
| Category | Agent Tool |
| Quality Score | 61/100 |
| Last Updated | 2026-01-26 |
| Created | 2026-01-22 |
| Platforms | node |
| Est. Tokens | ~19k |
AI Code Review Assistant An AI-powered code review application built on Cloudflare Workers, featuring real-time code analysis, detailed feedback, and conversation history. 🌐 Live Demo Try it now: https://cf-ai-code-review-frontend.pages.dev 📖 Table of Contents Live Demo Features Requirements Setup Instructions Project Structure Usage Components Testing API Endpoints Troubleshooting Architecture...
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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: