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 ConardLi · Agent Tool · ★ 12.6k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is garden-skills safe to install? View the security audit →
Garden Skills A curated collection of production-ready Agent Skills for Claude Code, Cursor, Codex, and other AI coding agents. web-video-presentation Web video / presentation web-design-engineer Design / frontend gpt-image-2 Image generation / prompting beautiful-article
| Stars | 12,579 |
| Forks | 1,513 |
| Language | CSS |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 61.2005711723555/100 |
| Open Issues | 18 |
| Last Updated | 2026-07-12 |
| Created | 2026-04-21 |
| Platforms | browser, claude-code |
| Est. Tokens | ~24k |
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garden-skills is ConardLi's open-source Skills collection, featuring web design, knowledge retrieval, image generation, and more.. It is categorized as a Agent Tool with 12.6k GitHub stars.
garden-skills is primarily written in CSS. It covers topics such as agent, claude, gpt-image-2.
You can find installation instructions and usage details in the garden-skills GitHub repository at github.com/ConardLi/garden-skills. The project has 12.6k stars and 1513 forks, indicating an active community.
garden-skills is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to garden-skills on Agent Skills Hub include FastGPT, Upsonic, casibase. 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: