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 BuilderIO · AI Tool · ★ 4.5k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is skills safe to install? View the security audit →
Skills for coding agents Small, composable skills for coding agents. Quick install recommended skills See the full CLI docs below. Skills At A Glance - Turn text plans into rich visual plans. - Turn diffs into interactive visual recaps. - Open a running local app for visual editing. - Recover recent local screen context through Clips Desktop. - Audit another agent's work. - Compare competing plans and choose a direction. - Keep working through ordinary ambiguity. - Orchestrate Fable with cheaper helper agents. - Preserve high-cost models for judgment. - Track usage limits before long-running work. - End work with a clear status signal. - Check authoritative docs before guessing. Skill Details Open a running local app in Design as URL-backed iframe screens for visual inspection, route-state exploration, and source-backed editing. Unlike a static mockup, the canvas stays connected to the app's real routes and the
| Stars | 4,525 |
| Forks | 227 |
| Language | JavaScript |
| Category | AI Tool |
| License | MIT |
| Quality Score | 60.3523777755909/100 |
| Open Issues | 6 |
| Last Updated | 2026-10-03 |
| Created | 2026-06-10 |
| Platforms | node |
| Est. Tokens | ~15k |
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skills is Skills for agents. It is categorized as a AI Tool with 4.5k GitHub stars.
skills is primarily written in JavaScript. It covers topics such as skills.
You can find installation instructions and usage details in the skills GitHub repository at github.com/BuilderIO/skills. The project has 4.5k stars and 227 forks, indicating an active community.
skills is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to skills on Agent Skills Hub include memU, mcp-use, AI-Infra-Guard. 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: