Claude-Code-Quest: Claude Code guide in three levels, Beginner to Advanced

by wesammustafa · MCP Server · ★ 3.6k

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

Security audit verdict: CAUTION · quality 61/100

Flagged: reads agent memory. 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-skillsagentic-codingai-agentsanthropicanthropic-claudebest-practicesclaudeclaude-aiclaude-codeclaude-code-guide

Quick Facts

Stars3,619
Forks415
LanguageTypeScript
CategoryMCP Server
Quality Score61/100
Open Issues1
Last Updated2026-11-06
Created2025-08-17
Platformsclaude-code, mcp, node
Est. Tokens~19k

About Claude-Code-Quest

Claude Code Quest Learn Claude Code by doing it, one small step at a time, with Pip cheering you on. How it works  ·  The three levels  ·  Every page Meet Pip Claude Code Quest opens in your browser, beside your terminal. Read a step, try it in Claude Code, and the app checks your work. When it passes, Pip cheers.

Compatible Skills

These tools work well together with Claude-Code-Quest for enhanced workflows:

  • leaked-claude-code — semantic(0.41)+complementary+same_lang+similar_pop+shared_platform (64%)
  • abide — semantic(0.40)+complementary+same_lang+similar_pop+shared_platform (64%)
  • claude-code — semantic(0.39)+complementary+same_lang+similar_pop+shared_platform (64%)

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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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