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 Microck · Claude Skill · ★ 323
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is ordinary-claude-skills safe to install? View the security audit →
a massive local repository of official and community-built claude skills, organized by category. quickstart there are two ways to consume this library. the civilized way (search & browse) go to the static site. i have indexed everything with search and categories. it is much easier than digging through folders. the developer way (raw files) clone the repo to map these skills into your own mcp servers or agents. clone the repo bash git clone https://github.com/Microck/ordinary-claude-skills.git
| Stars | 323 |
| Forks | 45 |
| Language | Python |
| Category | Claude Skill |
| Quality Score | 72.1419121705401/100 |
| Last Updated | 2026-07-03 |
| Created | 2025-12-01 |
| Platforms | claude-code, python |
| Est. Tokens | ~15k |
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ordinary-claude-skills is An unappealing collection of Claude Skills and resources.. It is categorized as a Claude Skill with 323 GitHub stars.
ordinary-claude-skills is primarily written in Python. It covers topics such as claude, claude-code, claude-skills.
You can find installation instructions and usage details in the ordinary-claude-skills GitHub repository at github.com/Microck/ordinary-claude-skills. The project has 323 stars and 45 forks, indicating an active community.
The top alternatives to ordinary-claude-skills on Agent Skills Hub include ios-simulator-skill, claude-elixir-phoenix, tutor-skills. 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: