claude-education-skills: An open-source library of evidence-based Claude skills for educators

by GarethManning · MCP Server · ★ 209

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

How to install claude-education-skills

/plugin install GarethManning/claude-education-skills

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 72/100

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.

adaptive-learningagentic-workflowai-agentai-educationclaudecompetency-based-educationcurriculum-designedtecheducationevidence-based-education

Quick Facts

Stars209
Forks42
LanguageTypeScript
CategoryMCP Server
Quality Score72/100
Last Updated2026-05-07
Created2026-03-01
Platformsclaude-code, mcp, node
Est. Tokens~238k

About claude-education-skills

Claude Education Skills Library An open-source library of 108 evidence-based pedagogical skills for curriculum design, lesson planning, and assessment — usable today by any educator with access to Claude, and engineered for AI agent orchestration. I'm an educator — start here No setup required. Install the plugin and start teaching.

Compatible Skills

These tools work well together with claude-education-skills for enhanced workflows:

  • human-skill-tree — semantic(0.38)+rare_topics+same_lang+similar_pop+shared_platform (57%)
  • OpenMAIC — semantic(0.36)+complementary+same_lang+shared_platform (47%)
  • gen-mentor — semantic(0.23)+complementary+rare_topics+similar_pop (47%)

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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:

View on GitHub → Browse MCP Server tools