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 apify · MCP Server · ★ 255
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is awesome-skills safe to install? View the security audit →
Awesome Apify Skills Community-driven agent skills for AI coding assistants Quick start • Skills • Contribute • For AI agents • Support Companion to apify/agent-skills, the home of
| Stars | 255 |
| Forks | 65 |
| Language | Python |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 70.4825047989278/100 |
| Open Issues | 41 |
| Last Updated | 2026-09-19 |
| Created | 2026-03-10 |
| Platforms | mcp, python |
| Est. Tokens | ~17k |
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awesome-skills is Community collection of Apify agent skills for AI coding assistants. It is categorized as a MCP Server with 255 GitHub stars.
awesome-skills is primarily written in Python. It covers topics such as actor, agent-skills, ai-agents.
You can find installation instructions and usage details in the awesome-skills GitHub repository at github.com/apify/awesome-skills. The project has 255 stars and 65 forks, indicating an active community.
awesome-skills is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to awesome-skills on Agent Skills Hub include awesome-ai-agent-skills, awesome-agent-skills, claudepro-directory. 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: