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 AwesomeJun · Claude Skill · ★ 51
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is awesome-claude-plugins safe to install? View the security audit →
⚡ Awesome Statusline A beautiful statusline for Claude Code — context, usage limits, cost & reasoning , all at a glance. One line to install on macOS, Linux & Windows. 🇰🇷 한국어 · Quick Install · Presets · What it shows · FAQ ▶ Interactive live demo 🆕 What's new Built to keep pace with Claude Code — recent updates: Opus 4.8 support · reasoning effort (//) + thinking indic
| Stars | 51 |
| Forks | 9 |
| Language | Shell |
| Category | Claude Skill |
| Quality Score | 63.7396292994167/100 |
| Open Issues | 1 |
| Last Updated | 2026-04-01 |
| Created | 2026-01-18 |
| Platforms | claude-code, cli |
| Est. Tokens | ~1444k |
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awesome-claude-plugins is A curated collection of awesome plugins for Claude Code by awesomejun. It is categorized as a Claude Skill with 51 GitHub stars.
awesome-claude-plugins is primarily written in Shell. It covers topics such as anthropic, awesome, catppuccin.
You can find installation instructions and usage details in the awesome-claude-plugins GitHub repository at github.com/AwesomeJun/awesome-claude-plugins. The project has 51 stars and 9 forks, indicating an active community.
The top alternatives to awesome-claude-plugins on Agent Skills Hub include claude-usage-monitor, navigator, luxor-claude-marketplace. 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: