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 luongnv89 · Claude Skill · ★ 41.7k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is claude-howto safe to install? View the security audit →
Claude How To A visual, example-driven guide to Claude Code — from basic concepts to advanced agents, with copy-paste templates that bring immediate value. Why This Guide? This project complements Anthropic's official documentation with a different approach: What you'll find here: Mermaid diagrams explaining how each feature works Ready-to-use configurations you can copy into your project Real-world examples with context and best practices Clear progression from to building custom agents Troubleshooting guides based on common issues Table of Contents Why This Guide? Feature Catalog [Quick Naviga
| Stars | 41,720 |
| Forks | 5,121 |
| Language | Python |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 75.4446219825065/100 |
| Open Issues | 30 |
| Last Updated | 2026-09-30 |
| Created | 2025-11-07 |
| Platforms | claude-code, python |
| Est. Tokens | ~20k |
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claude-howto is A visual, example-driven guide to Claude Code — from basic concepts to advanced agents, with copy-paste templates that bring immediate value.. It is categorized as a Claude Skill with 41.7k GitHub stars.
claude-howto is primarily written in Python. It covers topics such as claude-code, guide, tutorial.
You can find installation instructions and usage details in the claude-howto GitHub repository at github.com/luongnv89/claude-howto. The project has 41.7k stars and 5121 forks, indicating an active community.
claude-howto is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to claude-howto on Agent Skills Hub include learn-claude-code, serena, ai-guide. 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: