agent-skill-manager — security grade SAFE, quality 70/100

Security audit verdict: SAFE · quality 70/100

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 luongnv89 · Agent Tool · ★ 113

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

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About agent-skill-manager

One tool to manage every AI agent's skills Stop juggling skill directories across Claude Code, Codex, Cursor, Windsurf, and 10+ other AI agents. agent-skill-manager (asm) gives you a single

agentsaiaiagentscodingskills

Quick Facts

Stars113
Forks4
LanguageTypeScript
CategoryAgent Tool
LicenseMIT
Quality Score70.1147379404583/100
Open Issues12
Last Updated2026-03-23
Created2026-03-11
Platformsnode
Est. Tokens~201k

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Looking for a agent-skill-manager alternative? If you're comparing agent-skill-manager with other agent tool tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

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Frequently Asked Questions

What is agent-skill-manager?

agent-skill-manager is The universal skill manager for AI coding agents.. It is categorized as a Agent Tool with 113 GitHub stars.

What programming language is agent-skill-manager written in?

agent-skill-manager is primarily written in TypeScript. It covers topics such as agents, ai, aiagents.

How do I install or use agent-skill-manager?

You can find installation instructions and usage details in the agent-skill-manager GitHub repository at github.com/luongnv89/agent-skill-manager. The project has 113 stars and 4 forks, indicating an active community.

What license does agent-skill-manager use?

agent-skill-manager is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to agent-skill-manager?

The top alternatives to agent-skill-manager on Agent Skills Hub include agents, remind, lavra. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

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