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 Dimillian · Codex Skill · ★ 4.0k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is Skills safe to install? View the security audit →
Skills Public A collection of reusable development skills for Apple platforms, GitHub workflows, refactoring, diff review swarms, bug investigation swarms, code review, React performance work, and skill curation. Overview This repository contains focused, self-contained skills that help with recurring engineering tasks such as generating App Store release notes, debugging iOS apps, improving SwiftUI and React code, packaging macOS apps, running multi-agent diff reviews and bug hunts, reviewing and simplifying code changes, orchestrating larger refactors, and auditing what new skills a project actually needs. Install: place these skill folders under Skills This repo currently includes 16 skills: Uses XcodeBuildMCP to build, launch, and debug the current iOS app on a booted simulator, including UI inspection, in
| Stars | 3,974 |
| Forks | 205 |
| Language | Shell |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 54.637119434949/100 |
| Open Issues | 11 |
| Last Updated | 2026-03-29 |
| Created | 2025-12-30 |
| Platforms | cli, codex |
| Est. Tokens | ~8k |
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Skills is My Codex Skills. It is categorized as a Codex Skill with 4.0k GitHub stars.
Skills is primarily written in Shell.
You can find installation instructions and usage details in the Skills GitHub repository at github.com/Dimillian/Skills. The project has 4.0k stars and 205 forks, indicating an active community.
Skills is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to Skills on Agent Skills Hub include superset, refly, Claude-to-IM-skill. 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: