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 ZeroPointRepo · MCP Server · ★ 590
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is awesome-hermes-skills safe to install? View the security audit →
Awesome Hermes Skills A curated, install-ready directory of skills for Hermes Agent — the self-improving AI agent from Nous Research. Covers the 72 built-in skills and 101-skill optional catalog that ship with Hermes, plus 85 community skills, plugins, and tools vetted for quality. Hermes is the only agent with a real learning loop. It writes its own skills from your workflows, searches its own past conversations, and runs anywhere — a $5 VPS, a GPU cluster, serverless, or your laptop. But the agent is only as powerful as the skills you give it. This list is the shortcut. Pick three, install in a minute, and your agent is twice as useful by tonight. ⭐ Skill of the Week youtube-full — Get YouTube transcripts, search videos, browse channels, and
| Stars | 590 |
| Forks | 124 |
| Category | MCP Server |
| License | MIT |
| Quality Score | 65.5368897749709/100 |
| Open Issues | 39 |
| Last Updated | 2026-10-05 |
| Created | 2026-04-28 |
| Platforms | mcp |
| Est. Tokens | ~27k |
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awesome-hermes-skills is Hermes Agent skills and plugins: 350+ tools, memory providers, and guides for Nous Research's agent.. It is categorized as a MCP Server with 590 GitHub stars.
You can find installation instructions and usage details in the awesome-hermes-skills GitHub repository at github.com/ZeroPointRepo/awesome-hermes-skills. The project has 590 stars and 124 forks, indicating an active community.
awesome-hermes-skills is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to awesome-hermes-skills on Agent Skills Hub include awesome-hermes-agent, maestro, agent-plugins-spec. 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: