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 twostraws · Claude Skill · ★ 4.8k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is SwiftUI-Agent-Skill safe to install? View the security audit →
SwiftUI Agent Skill for AI Coding Assistants An agent skill that helps AI coding assistants write smarter, simpler, and more modern SwiftUI, including guidance on API usage, design, performance, and accessibility. Covers navigation, layout, animations, state management, VoiceOver, deprecated API, and more, targeting the mistakes LLMs actually make. Also available: SwiftData Pro Swift Concurrency Pro Swift Testing Pro Find more agent skills for Swift and Apple platform development at Swift Agent Skills. The skill builds upon my existing AGENTS.md file, meaning that you can bring years of knowledge and practical experience into your coding ag
| Stars | 4,808 |
| Forks | 174 |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 64.8100434599302/100 |
| Open Issues | 11 |
| Last Updated | 2026-04-20 |
| Created | 2026-03-05 |
| Platforms | claude-code, codex |
| Est. Tokens | ~5k |
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SwiftUI-Agent-Skill is SwiftUI agent skill for Claude Code, Codex, and other AI tools.. It is categorized as a Claude Skill with 4.8k GitHub stars.
You can find installation instructions and usage details in the SwiftUI-Agent-Skill GitHub repository at github.com/twostraws/SwiftUI-Agent-Skill. The project has 4.8k stars and 174 forks, indicating an active community.
SwiftUI-Agent-Skill is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to SwiftUI-Agent-Skill on Agent Skills Hub include claude-scientific-skills, awesome-claude-skills, AI-Research-SKILLs. 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: