by KhazP · Agent Tool · ★ 3.1k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
Featured in: Open-Source Vibe Coding Tools
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.
One of 14 tools we ran end to end on the same task for our Open-Source Vibe Coding Tools page (2026-10-27).
Our pick (If you would rather not be asked anything): Every check on both apps without stopping to ask once, in 9.3 minutes in all, at 2.4 times the usage of no tool.
Result: one-sentence page: 4 of 4 checks · family ledger: 8 of 8 · opens by double-click · never stopped to ask · 2.7 + 6.6 min, 2.4× the usage of no tool
| Stars | 3,126 |
| Forks | 386 |
| Language | TypeScript |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 72/100 |
| Last Updated | 2026-10-04 |
| Created | 2025-04-14 |
| Platforms | claude-code, gemini, node |
| Est. Tokens | ~18k |
A practical AI workflow for shipping MVPs Turn an idea into an MVP with structured prompts, agent docs, and AI-assisted coding workflows. Used on projects like vibeworkflow.app, moneyvisualiser.com, caglacabaoglu.com, and RealDex App. <img src="https://img.shields.io/badge/Claude-Anthropic-orange?style=flat-square&logo=anthropic" al
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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: