skills-management: A CLI tool to manage and synchronize AI coding agent skills

by nnnggel · Agent Tool · ★ 129

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

Featured in: Skill & Agent Management

How to install skills-management

npm install -g skills-management
git clone https://github.com/nnnggel/skills-management.git

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 63/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

🧪 Tested by Agent Skills Hub

One of 14 tools we ran end to end on the same task for our Skill & Agent Management page (2026-10-09).

Result: Installed a skill with a curl | sh script without a word · removes skills cleanly · syncs to Codex · +396 tokens per session for 20 skills

See the run → · See the whole test →

Quick Facts

Stars129
Forks5
LanguageTypeScript
CategoryAgent Tool
Quality Score63/100
Last Updated2026-01-29
Created2026-01-27
Platformscli, node
Est. Tokens~28k

About skills-management

Skills Management CLI (skm) 简体中文 | English is a powerful CLI tool designed to manage and synchronize "skills" (prompt libraries, instruction sets, or capability modules) across various AI coding agents and projects. It serves as a central hub to add skills from GitHub or local directories and selectively link them into your local AI project configurations.

skills-management alternative? Top 1 similar tools

Looking for a skills-management alternative? If you're comparing skills-management with other agent tool tools, these 1 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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:

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