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 · Codex Skill · ★ 391
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is SwiftData-Agent-Skill safe to install? View the security audit →
SwiftData Agent Skill for AI Coding Assistants An agent skill that helps AI coding assistants like Claude Code, Codex, Cursor, and Gemini write better SwiftData code. Covers , , predicates, indexes, migrations, relationships, iCloud sync, and more, targeting the mistakes LLMs actually make. Also available: SwiftUI Pro Swift Concurrency Pro Swift Testing Pro Find more agent skills for Swift and Apple platform development at Swift Agent Skills. Installing SwiftData Pro You can install this skill into Claude Code, Codex, Gemini, Cursor, and more by using : If y
| Stars | 391 |
| Forks | 17 |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 63.6551040255786/100 |
| Open Issues | 2 |
| Last Updated | 2026-03-11 |
| Created | 2026-03-11 |
| Platforms | claude-code, codex |
| Est. Tokens | ~1k |
These tools work well together with SwiftData-Agent-Skill for enhanced workflows:
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开源了Codex Skills等集合，大部分是自己实际需要搞得，需要的自取。欢迎star
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SwiftData-Agent-Skill is SwiftData agent skill for Claude Code, Codex, and other AI tools.. It is categorized as a Codex Skill with 391 GitHub stars.
You can find installation instructions and usage details in the SwiftData-Agent-Skill GitHub repository at github.com/twostraws/SwiftData-Agent-Skill. The project has 391 stars and 17 forks, indicating an active community.
SwiftData-Agent-Skill is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to SwiftData-Agent-Skill on Agent Skills Hub include nano-banana-pro-prompts-recommend-skill, skillkit, Skills-Manager. 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: