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 mode-io · Codex Skill · ★ 114
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is skill-manager safe to install? View the security audit →
skill-manager A local-first control center for AI extensions. Use, review, and discover Skills, MCP servers, slash commands, and CLI tools across agent harnesses. Why it exists AI extensions are scattered across harness-specific folders, MCP config files, slash
| Stars | 114 |
| Forks | 13 |
| Language | TypeScript |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 73.7105584152399/100 |
| Open Issues | 9 |
| Last Updated | 2026-07-30 |
| Created | 2026-04-07 |
| Platforms | claude-code, cli, codex, node |
| Est. Tokens | ~16k |
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skill-manager is Manage skills across Codex CLI, Claude Code, Cursor, OpenCode, and OpenClaw from one local app.. It is categorized as a Codex Skill with 114 GitHub stars.
skill-manager is primarily written in TypeScript. It covers topics such as agent-tools, claude-code, codex-cli.
You can find installation instructions and usage details in the skill-manager GitHub repository at github.com/mode-io/skill-manager. The project has 114 stars and 13 forks, indicating an active community.
skill-manager is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to skill-manager on Agent Skills Hub include code-notify, skill-manager, HarnessKit. 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: