by brennercruvinel · Claude Skill · ★ 2.8k
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Featured in: Claude Code Skills
git clone https://github.com/brennercruvinel/CCPlugins.gitTaken from the project's README on GitHub. Check the security audit before running it.
None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.
| Stars | 2,779 |
| Forks | 165 |
| Language | Python |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 73/100 |
| Last Updated | 2026-06-26 |
| Created | 2025-07-25 |
| Platforms | claude-code, cli, python |
| Est. Tokens | ~13k |
🚨 V2 in Development CCPlugins V2 is currently in active development due to recent Anthropic updates (SDK improvements, native subagents, context memory, and enhanced CLI capabilities). Several slash commands have become redundant as Claude Code CLI now handles them natively. V2 will be a complete architectural redesign focusing on what Claude Code still can't do efficiently.
These tools work well together with CCPlugins for enhanced workflows:
Looking for a CCPlugins alternative? If you're comparing CCPlugins with other claude skill tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
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Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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: