awesome-hermes-agent: Independent directory of useful skills, plugins, memory providers, tools, surfaces, and guides for Nous

by 0xNyk · MCP Server · ★ 5.9k

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

Security audit verdict: SAFE · quality 56/100

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.

agent-skillsai-agentsai-toolsawesomeawesome-listhermes-agentmcpmemorynous-researchskills

Quick Facts

Stars5,909
Forks443
CategoryMCP Server
Quality Score56/100
Open Issues204
Last Updated2026-10-27
Created2026-03-23
Platformsmcp
Est. Tokens~22k

About awesome-hermes-agent

Awesome Hermes Agent A curated list of skills, tools, integrations, and resources for enhancing your Hermes Agent workflow — the self-improving AI agent built by Nous Research. Hermes Agent is the only agent with a built-in learning loop — it creates skills from experience, improves them during use, searches its own past conversations, and builds a deepening model of who you are across sessions.

Compatible Skills

These tools work well together with awesome-hermes-agent for enhanced workflows:

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How this security grade is produced

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:

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