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 happycapy-ai · Claude Skill · ★ 137
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is Happycapy-skills safe to install? View the security audit →
Happycapy Skills The skill-native collection for Claude Code Curated, production-ready skills for coding, design, documents, media, research, and automation in Happycapy and Claude Code. Quick Start | Featured Collections | Featured Skills | Skill Catalog | Create Your Own Skill | Contributing <img src="./assets/product-hunt-badge.svg" alt="Happycapy - The agent-native computer, for the rest o
| Stars | 137 |
| Forks | 30 |
| Language | HTML |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 67.576385341408/100 |
| Open Issues | 9 |
| Last Updated | 2026-09-03 |
| Created | 2026-02-04 |
| Platforms | claude-code |
| Est. Tokens | ~19k |
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Happycapy-skills is A curated collection of high-quality Claude Code skills to enhance your development workflow. It is categorized as a Claude Skill with 137 GitHub stars.
Happycapy-skills is primarily written in HTML.
You can find installation instructions and usage details in the Happycapy-skills GitHub repository at github.com/happycapy-ai/Happycapy-skills. The project has 137 stars and 30 forks, indicating an active community.
Happycapy-skills is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to Happycapy-skills on Agent Skills Hub include life-sciences, claude-ai-mcp, skyll. 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: