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 · ★ 442
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is Swift-Testing-Agent-Skill safe to install? View the security audit →
Swift Testing Agent Skill for AI Coding Assistants An agent skill that helps AI coding assistants like Claude Code, Codex, Cursor, and Gemini write better tests using Swift Testing. Covers , , , parameterized testing, traits, exit tests, confirmations, and more, targeting the mistakes LLMs actually make. Also available: SwiftUI Pro SwiftData Pro Swift Concurrency Pro Find more agent skills for Swift and Apple platform development at Swift Agent Skills. Installing Swift Testing Pro Claude Code Add the Swift Testing Agent Skill marketplace, then install the plugin: Codex, Gemini, Cursor, and others bash npx skills a
| Stars | 442 |
| Forks | 19 |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 67.6662574238369/100 |
| Last Updated | 2026-05-17 |
| Created | 2026-03-11 |
| Platforms | claude-code, codex |
| Est. Tokens | ~2k |
These tools work well together with Swift-Testing-Agent-Skill for enhanced workflows:
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Swift-Testing-Agent-Skill is Swift Testing agent skill for Claude Code, Codex, and other AI tools.. It is categorized as a Claude Skill with 442 GitHub stars.
You can find installation instructions and usage details in the Swift-Testing-Agent-Skill GitHub repository at github.com/twostraws/Swift-Testing-Agent-Skill. The project has 442 stars and 19 forks, indicating an active community.
Swift-Testing-Agent-Skill is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to Swift-Testing-Agent-Skill on Agent Skills Hub include claude-codex-settings, digital-marketing-pro, life-sciences. 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: