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 YYH211 · Claude Skill · ★ 274
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is Claude-meta-skill safe to install? View the security audit →
Claude Skills Repository A curated collection of reusable skills for Claude Code. Pick the skills you need and add them to your project to enhance Claude's capabilities. 🎯 What is This? This repository provides ready-to-use skills that extend Claude Code's functionality. Each skill is a self-contained module that teaches Claude how to perform specific tasks or follow particular workflows in your projects. 📦 Available Skills | [deep-reading-ana
| Stars | 274 |
| Forks | 28 |
| Language | Python |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 63.4609643073231/100 |
| Open Issues | 1 |
| Last Updated | 2026-05-15 |
| Created | 2025-10-31 |
| Platforms | claude-code, python |
| Est. Tokens | ~67k |
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Claude-meta-skill is A curated collection of reusable skills for Claude Code. Enhance Claude's capabilities with ready-to-use skill modules including comprehensive guides, templates, and best practices for creating your o. It is categorized as a Claude Skill with 274 GitHub stars.
Claude-meta-skill is primarily written in Python.
You can find installation instructions and usage details in the Claude-meta-skill GitHub repository at github.com/YYH211/Claude-meta-skill. The project has 274 stars and 28 forks, indicating an active community.
Claude-meta-skill is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to Claude-meta-skill on Agent Skills Hub include claude-codex-settings, digital-marketing-pro, life-sciences. 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: