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 callstackincubator · Agent Tool · ★ 1.7k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is agent-skills safe to install? View the security audit →
Agent Skills A collection of agent-optimized skills for AI coding assistants. The repo ships raw Agent Skills for assistants that can read directly, plus marketplace metadata for both Claude Code and Codex plugin workflows. Available Skills React Native Best Practices Performance optimization skills based on [The Ultimate Guide to React Native Optimization](https://www.callstac
| Stars | 1,665 |
| Forks | 117 |
| Language | Shell |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 64.3543526320398/100 |
| Open Issues | 8 |
| Last Updated | 2026-10-08 |
| Created | 2026-01-14 |
| Platforms | cli |
| Est. Tokens | ~13k |
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General-purpose Playwright automation for coding agents
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agent-skills is A collection of agent-optimized React Native skills for AI coding assistants.. It is categorized as a Agent Tool with 1.7k GitHub stars.
agent-skills is primarily written in Shell.
You can find installation instructions and usage details in the agent-skills GitHub repository at github.com/callstackincubator/agent-skills. The project has 1.7k stars and 117 forks, indicating an active community.
agent-skills is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to agent-skills on Agent Skills Hub include notebooklm-skill, agent-skills, excalidraw-diagram-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: