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 xixu-me · Agent Tool · ★ 72
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is skills safe to install? View the security audit →
Agent Skills 汉语 [!TIP] 欢迎加入“Xget 开源与 AI 交流群”，一起交流开源项目、AI 应用、工程实践、效率工具和独立开发；如果你也在做产品、写代码、折腾项目或者对开源和 AI 感兴趣，欢迎进群认识更多认真做事、乐于分享的朋友。 Agent Skills maintained by me for practical engineering work. This repository is continuously updated. How To Use You can use these skills in two ways: Restore a reviewed baseline with Skills Vault and . Add a source repository directly with or . [!TIP] If you want a ready-to-use manifest of common skills, start with . Its is maintained as a reviewed baseline for a broader set of commonly used skills. Option 1: Use Skills Vault Back up and restore through Skills Vault: This is the best option if you want a portable baseline that can be reapplied across machines. Option 2: Add Repositories Directly Install this repository as a skill source: or: Skills Catalog The table below lists the skills maintained in this repository. | Nam
| Stars | 72 |
| Forks | 7 |
| Language | JavaScript |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 66.8017772440196/100 |
| Last Updated | 2026-08-19 |
| Created | 2026-03-27 |
| Platforms | node |
| Est. Tokens | ~13k |
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skills is Agent Skills maintained by me for practical engineering work. It is categorized as a Agent Tool with 72 GitHub stars.
skills is primarily written in JavaScript. It covers topics such as agent-skills.
You can find installation instructions and usage details in the skills GitHub repository at github.com/xixu-me/skills. The project has 72 stars and 7 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 zypher-agent, canvas-mcp, claudepro-directory. 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: