by angular · Agent Tool · ★ 774
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npm install -g web-codegen-scorerTaken 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 | 774 |
| Forks | 64 |
| Language | TypeScript |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 72/100 |
| Open Issues | 20 |
| Last Updated | 2026-05-05 |
| Created | 2025-09-04 |
| Platforms | browser, node |
| Est. Tokens | ~175k |
Web Codegen Scorer Web Codegen Scorer is a tool for evaluating the quality of web code generated by Large Language Models (LLMs). You can use this tool to make evidence-based decisions relating to AI-generated code. For example: 🔄 Iterate on a system prompt to find most effective instructions for your project. ⚖️ Compare the code quality of code produced by different models.
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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: