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 · ★ 499
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is Swift-Concurrency-Agent-Skill safe to install? View the security audit →
Swift Concurrency Agent Skill for AI Coding Assistants An agent skill that helps AI coding assistants like Claude Code, Codex, Cursor, and Gemini write better Swift concurrency code. Covers /, actors, , task groups, , structured concurrency, and more, targeting the mistakes LLMs actually make. Also available: SwiftUI Pro SwiftData Pro Swift Testing Pro Find more agent skills for Swift and Apple platform development at Swift Agent Skills. Installing Swift Concurrency Pro Claude Code Add the Swift Concurrency Agent Skill marketplace, then install the plugin: /plugin marketplace add twostraws/Swift-Concurrency-Agent-Skill /plugin insta
| Stars | 499 |
| Forks | 20 |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 67.3289044885363/100 |
| Last Updated | 2026-05-17 |
| Created | 2026-03-11 |
| Platforms | claude-code, codex |
| Est. Tokens | ~5k |
These tools work well together with Swift-Concurrency-Agent-Skill for enhanced workflows:
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Swift-Concurrency-Agent-Skill is Swift Concurrency agent skill for Claude Code, Codex, and other AI tools.. It is categorized as a Claude Skill with 499 GitHub stars.
You can find installation instructions and usage details in the Swift-Concurrency-Agent-Skill GitHub repository at github.com/twostraws/Swift-Concurrency-Agent-Skill. The project has 499 stars and 20 forks, indicating an active community.
Swift-Concurrency-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-Concurrency-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: