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 analyticalrohit · Claude Skill · ★ 379
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is awesome-vibe-coding-guide safe to install? View the security audit →
Awesome Vibe Coding Guide Become a 10x Vibe Coder with this awesome guide to vibe coding. This repository compiles best practices, and tips for efficient and controlled AI-assisted coding, drawing from experiences with tools like Cursor. Vibe coding emphasizes a intuitive flow between human developers and AI, ensuring productivity without losing control. <p align="
| Stars | 379 |
| Forks | 71 |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 59.7055631854686/100 |
| Open Issues | 16 |
| Last Updated | 2026-01-06 |
| Created | 2025-07-20 |
| Platforms | claude-code, cli, gemini |
| Est. Tokens | ~247k |
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awesome-vibe-coding-guide is Become 10x Vibe Coder. Awesome Vibe Coding guide, best practices, and tips for efficient and controlled AI assisted coding.. It is categorized as a Claude Skill with 379 GitHub stars.
You can find installation instructions and usage details in the awesome-vibe-coding-guide GitHub repository at github.com/analyticalrohit/awesome-vibe-coding-guide. The project has 379 stars and 71 forks, indicating an active community.
awesome-vibe-coding-guide is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to awesome-vibe-coding-guide on Agent Skills Hub include ccmanager, system-prompts-and-models-of-ai-tools-chinese, system-prompts-and-models-of-ai-tools-chinese. 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: