by vercel · Agent Tool · ★ 27.8k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
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 | 27,790 |
| Forks | 5,545 |
| Language | TypeScript |
| Category | Agent Tool |
| Quality Score | 70/100 |
| Open Issues | 1501 |
| Last Updated | 2026-11-07 |
| Created | 2023-05-23 |
| Platforms | gemini, node |
| Est. Tokens | ~15k |
AI SDK The AI SDK is a provider-agnostic TypeScript toolkit designed to help you build AI-powered applications and agents using popular UI frameworks like Next.js, React, Svelte, Vue, Angular, and runtimes like Node.js. To learn more about how to use the AI SDK, check out our API Reference and Documentation.
Looking for a ai alternative? If you're comparing ai with other agent tool tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
Local, open-source AI app builder for power users ✨ v0 / Lovable / Replit / Bolt alternative 🌟 Star if you li
📦 Repomix is a powerful tool that packs your entire repository into a single, AI-friendly file. Perfect for w
Sim is the collaborative workspace to build, deploy, and monitor AI agents and workflows. Used by 100,000+ bui
Open-source, secure environment with real-world tools for enterprise-grade agents.
Open-source Next.js template for building apps that are fully generated by AI. By E2B.
The Frontend Stack for Agents & Generative UI. React, Angular, Mobile, Slack, and more. Makers of the AG-UI P
Explore other popular agent tool tools:
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: