No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by vercel-labs · Agent Tool · ★ 30.6k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is agent-skills safe to install? View the security audit →
Agent Skills A collection of skills for AI coding agents. Skills are packaged instructions and scripts that extend agent capabilities. Skills follow the Agent Skills format. Available Skills react-best-practices React and Next.js performance optimization guidelines from Vercel Engineering. Contains 40+ rules across 8 categories, prioritized by impact. Use when: Writing new React components or Next.js pages Implementing data fetching (client or server-side) Reviewing code for performance issues Optimizing bundle size or load times Categories covered: Eliminating waterfalls (Critical) Bundle size optimization (Critical) Server-side performance (High) Client-side data fetching (Medium-High) Re-render optimization (Medium) Rendering performance (Medium) JavaScript micro-optimizations (Low-Medium) web-design-guidelines Review UI code for compliance with web interface best practices. Audits your code for 100+ rules covering accessibility, performance, and UX.
| Stars | 30,591 |
| Forks | 2,726 |
| Language | JavaScript |
| Category | Agent Tool |
| Quality Score | 66.7969308579913/100 |
| Open Issues | 173 |
| Last Updated | 2026-08-28 |
| Created | 2025-12-08 |
| Platforms | node |
| Est. Tokens | ~14k |
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agent-skills is Vercel's official collection of agent skills. It is categorized as a Agent Tool with 30.6k GitHub stars.
agent-skills is primarily written in JavaScript.
You can find installation instructions and usage details in the agent-skills GitHub repository at github.com/vercel-labs/agent-skills. The project has 30.6k stars and 2726 forks, indicating an active community.
The top alternatives to agent-skills on Agent Skills Hub include awesome-claude-code, open-saas, notebooklm-skill. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. 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: