skillhub-desktop: One desktop to manage your agent skills

by skillhub-club · Agent Tool · ★ 601

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

Security audit verdict: SAFE · quality 74/100

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. Full audit →

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.

agentskillsaidesktop-appproductivity

Quick Facts

Stars601
Forks27
LanguageTypeScript
CategoryAgent Tool
Quality Score74/100
Open Issues6
Last Updated2026-03-07
Created2026-01-16
Platformsnode
Est. Tokens~14k

About skillhub-desktop

SkillHub Desktop A desktop application for managing AI coding skills across multiple tools. Browse, install, and sync skills between Claude Code, Cursor, OpenCode, and more. www.skillhub.club Supported by SkillHub.club - The community-driven platform for AI Agent skills Website • Browse Skills • Documentation Features Discover Skills - Browse and search AI coding skills from the SkillHub catalog...

Compatible Skills

These tools work well together with skillhub-desktop for enhanced workflows:

  • wandesk — semantic(0.39)+complementary+same_lang+similar_pop+shared_platform (64%)
  • connectors — semantic(0.35)+complementary+same_lang+similar_pop+shared_platform (62%)
  • skills-manage — semantic(0.33)+complementary+same_lang+similar_pop+shared_platform (61%)
  • skillkit — semantic(0.31)+complementary+same_lang+similar_pop+shared_platform (61%)
  • pawwork — semantic(0.30)+complementary+same_lang+similar_pop+shared_platform (61%)

skillhub-desktop alternative? Top 6 similar tools

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  • skillkit by rohitg00 · ⭐ 1.5k

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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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