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 ShipWithAI · MCP Server · ★ 94
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is claude-code-mastery safe to install? View the security audit →
Claude Code Mastery The most comprehensive, free course on mastering Claude Code — Anthropic's AI coding agent. Not another Getting Started guide — this is a structured, senior-level curriculum. 16 Phases · 55 Modules · 136 Lessons · English + Tiếng Việt Live Course · Twitter · Telegram The Problem Most Claude Code tutorials teach individual features in isolation. But real productivity comes from combining features into workflows — and knowing which patterns to use (and avoid) in production. That's what this course teaches. 📋 Full Course Roadmap (16 Phases) Course Roadmap Installation, interfaces & modes, context wi
| Stars | 94 |
| Forks | 22 |
| Language | MDX |
| Category | MCP Server |
| License | MIT |
| Quality Score | 65.5988954839537/100 |
| Open Issues | 10 |
| Last Updated | 2026-09-19 |
| Created | 2026-03-28 |
| Platforms | claude-code, mcp |
| Est. Tokens | ~17k |
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claude-code-mastery is The most comprehensive free Claude Code course — 16 phases, 55 modules, EN + VI 🚀. It is categorized as a MCP Server with 94 GitHub stars.
claude-code-mastery is primarily written in MDX. It covers topics such as ai-agent, ai-coding, ai-course.
You can find installation instructions and usage details in the claude-code-mastery GitHub repository at github.com/ShipWithAI/claude-code-mastery. The project has 94 stars and 22 forks, indicating an active community.
claude-code-mastery is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to claude-code-mastery on Agent Skills Hub include .claude, cc-skills, claude-code-open. 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: