human-skill-tree: AI-Powered Skill Tree for Lifelong Human Learning

by 24kchengYe · MCP Server · ★ 564

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

How to install human-skill-tree

git clone https://github.com/24kchengYe/human-skill-tree.git

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

Security audit verdict: SAFE · quality 65/100

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-educationai-learningai-tutorchatgptclaude-codeclaude-skillscognitive-sciencecopilotcursor

Quick Facts

Stars564
Forks29
LanguageTypeScript
CategoryMCP Server
Quality Score65/100
Open Issues21
Last Updated2026-03-25
Created2026-03-07
Platformsclaude-code, gemini, mcp, node
Est. Tokens~441k

About human-skill-tree

🌳 Human Skill Tree The Operating System for Human Learning in the Age of AI AI got superpowers through Skills and MCPs. What about humans? English · 中文 The Question In 2025, AI agents gained the ability to manipulate the real world — through Skills, MCP servers, and tool use. Claude can now run code, query databases, control browsers, and execute complex scientific 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:

View on GitHub → Browse MCP Server tools