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 samber · Codex Skill · ★ 204
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is cc-skills safe to install? View the security audit →
Agent Skills AI agent skills are reusable instruction sets that extend your assistant with domain-specific expertise, loaded on demand so they don't bloat your context. This repository covers marketing and engineering skills authored by @samber. For Golang-related skills, please visit cc-skills-golang. [!IMPORTANT] Bootstrapped with Claude. Edited, tested, reviewed and reworked by a human. No AI slop here. AI-made skills are useless. 🚀 How to use? Install with skills CLI (universal, works with any Agent Skills-compatible tool): Claude Code Openclaw Copy skills into the cross-client discovery directory: Gemini CLI
| Stars | 204 |
| Forks | 15 |
| Language | CSS |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 65.9523781996237/100 |
| Open Issues | 2 |
| Last Updated | 2026-09-07 |
| Created | 2026-03-21 |
| Platforms | claude-code, cli, codex, gemini |
| Est. Tokens | ~17k |
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cc-skills is 🧑🎨 A collection of agentic skills that works. It is categorized as a Codex Skill with 204 GitHub stars.
cc-skills is primarily written in CSS. It covers topics such as agent, agent-skills, ai.
You can find installation instructions and usage details in the cc-skills GitHub repository at github.com/samber/cc-skills. The project has 204 stars and 15 forks, indicating an active community.
cc-skills is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to cc-skills on Agent Skills Hub include agentsys, awesome-agent-skills, hcom. 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: