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 GuDaStudio · Agent Tool · ★ 2.0k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is skills safe to install? View the security audit →
Agent Skills 集合 —— 让 Claude 与多模型/工具无缝协作 ⭐ 在 GitHub 上给我们点星您的支持对我们意义重大！ 🙏😊 English | 简体中文 一、项目简介 Agent Skills 是 Anthropic 推出的模块化能力扩展机制，让 LLM 能够按需加载专业领域知识与工作流。本仓库收录了 GudaStudio 开发的 Agent Skills 集合，实现 Claude 与其他 AI 模型、工具的无缝协作。 展开查看已收录的 Skills | [collaborating-with
| Stars | 2,025 |
| Forks | 100 |
| Language | PowerShell |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 61.0633204188898/100 |
| Open Issues | 12 |
| Last Updated | 2025-12-23 |
| Created | 2025-12-16 |
| Platforms | claude-code |
| Est. Tokens | ~145k |
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skills is This repository contains a collection of Agent Skills developed by GudaStudio, enabling seamless collaboration between Claude and other AI models and tools.. It is categorized as a Agent Tool with 2.0k GitHub stars.
skills is primarily written in PowerShell.
You can find installation instructions and usage details in the skills GitHub repository at github.com/GuDaStudio/skills. The project has 2.0k stars and 100 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 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: