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 tddworks · Claude Skill · ★ 165
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is SkillsManager safe to install? View the security audit →
Skills Manager A macOS application for discovering, browsing, installing, and tagging skills for AI coding assistants. Manage skills for Claude Code and Codex from GitHub repositories or your local filesystem. Browse, install, and tag skills for Claude Code and Codex Features Browse Remote Skills - Discover skills from GitHub repositories like anthropics/skills Local Directory Support - Add skills from any local directory via URLs View Installed Skills - Filter by provider (Claude Code, Codex, or all) Multi-Repository Support - Add and manage multiple GitHub skill catalogs Install to Multiple Providers - Install skills to Claud
| Stars | 165 |
| Forks | 21 |
| Language | Swift |
| Category | Claude Skill |
| Quality Score | 74.4957847480011/100 |
| Open Issues | 2 |
| Last Updated | 2026-05-28 |
| Created | 2026-01-08 |
| Platforms | claude-code, codex |
| Est. Tokens | ~370k |
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SkillsManager is A macOS application for discovering, browsing, and installing skills for AI coding assistants. Manage skills for Claude Code and Codex from GitHub repositories or your local filesystem.. It is categorized as a Claude Skill with 165 GitHub stars.
SkillsManager is primarily written in Swift. It covers topics such as claude-code, codex, skills.
You can find installation instructions and usage details in the SkillsManager GitHub repository at github.com/tddworks/SkillsManager. The project has 165 stars and 21 forks, indicating an active community.
The top alternatives to SkillsManager on Agent Skills Hub include my-ai-tools, memorix, Overture. 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: