skillscout: Find the skills your coding agents load, see which agents can use each one, and count how often you use them

by flaviocopes · Codex Skill · ★ 55

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

Security audit verdict: SAFE · quality 61/100

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.

agent-skillsai-agentsclaude-codecodexcursordeveloper-toolsmacosswiftswiftui

Quick Facts

Stars55
Forks4
LanguageSwift
CategoryCodex Skill
LicenseMIT
Quality Score61/100
Open Issues1
Last Updated2026-10-05
Created2026-09-30
Platformsclaude-code, codex
Est. Tokens~20k

About skillscout

Skillscout is a Mac app for the skills your coding agents load. It finds every skill on your Mac, shows which agents can see each one, and counts how often you use them. It knows 8 agents: Cursor, Claude Code, Codex, Gemini CLI, OpenCode, Droid, Pi and Amp. Each one reads skills from its own folders, and some also read the folders of the others.

Compatible Skills

These tools work well together with skillscout for enhanced workflows:

  • loadout — semantic(0.44)+complementary+same_lang+similar_pop+shared_platform (65%)
  • Janus — semantic(0.33)+complementary+same_lang+similar_pop+shared_platform (62%)

skillscout alternative? Top 6 similar tools

Looking for a skillscout alternative? If you're comparing skillscout with other codex skill 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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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:

View on GitHub → Browse Codex Skill tools