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 HighMark-31 · Claude Skill · ★ 278
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is TRAE-Skills safe to install? View the security audit →
✨ The Ultimate AI Skill Library for Modern Development ✨ TRAE Skills Collection The Largest, Most Complete, and Popular Collection of TRAE Skills. A powerful collection of expert-level TRAE Skills, designed to standardize and elevate every stage of modern software development. These skills act as a knowledge base for agents, enabling them to generate production-ready code, follow best practices, and handle complex architectural tasks across multiple stacks. Perfect for developers, engineers, and teams seeking consistency, quality, and expert-level output in every interaction. [!WARNING] My TRAE repositories will unfortunately be updated less frequently. I am currently very busy and looking for a job (Customer / Technical Support or Developer) so I can afford my first home. Until I achieve this stability, updates will be limited. Thank you for your understanding! ❤️ 📍 Skill List
| Stars | 278 |
| Forks | 42 |
| Category | Claude Skill |
| Quality Score | 52.1695719333306/100 |
| Last Updated | 2026-08-04 |
| Created | 2026-01-26 |
| Platforms | claude-code |
| Est. Tokens | ~21k |
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TRAE-Skills is A curated collection of 150+ specialized AI Skills for software development, frontend, backend, automation, UI/UX, SEO, and DevOps. Each skill encapsulates a focused capability: generating code, temp. It is categorized as a Claude Skill with 278 GitHub stars.
You can find installation instructions and usage details in the TRAE-Skills GitHub repository at github.com/HighMark-31/TRAE-Skills. The project has 278 stars and 42 forks, indicating an active community.
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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: