skill-kit: local-first analytics for AI agent skills

by crafter-station · Agent Tool · ★ 77

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

How to install skill-kit

npx @crafter/skillkit stats
npx skills add crafter-station/skills --skill skillkit

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 69/100

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.

agent-skillsanalyticsbunclaude-codeclideveloper-toolsobservabilityskillstypescript

Quick Facts

Stars77
Forks10
LanguageTypeScript
CategoryAgent Tool
Quality Score69/100
Open Issues5
Last Updated2026-08-31
Created2026-02-17
Platformsclaude-code, cli, node
Est. Tokens~15k

About skill-kit

skillkit Local-first analytics for AI agent skills. Track usage, measure context budget, and prune what you don't use. Auto-discovers your skills, indexes sessions, and shows what matters. No setup needed. Why AI coding agents load skills into their context window on every session. More skills = less room for your actual code.

Compatible Skills

These tools work well together with skill-kit for enhanced workflows:

  • cc-lens — semantic(0.40)+complementary+same_lang+similar_pop+shared_platform (64%)
  • Marketing-Skills — semantic(0.35)+complementary+same_lang+similar_pop+shared_platform (62%)

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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 Agent Tool tools