claude-code-toolkit: A collection of custom skills that extend Claude's capabilities with specialized workflows, methods

by robertguss · Claude Skill · ★ 116

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

How to install claude-code-toolkit

git clone https://github.com/robertguss/claude-code-toolkit.git

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 75/100

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.

claudeclaude-aiclaude-codeclaude-skillsskills

Quick Facts

Stars116
Forks21
LanguagePython
CategoryClaude Skill
LicenseMIT
Quality Score75/100
Last Updated2026-09-16
Created2025-12-29
Platformsclaude-code, python
Est. Tokens~14k

About claude-code-toolkit

Claude Code Toolkit Extend Claude Code with specialized workflows, automatic formatting, and better defaults. Skills give Claude domain expertise—brainstorming methods, documentation generation, book writing pipelines. Hooks automate repetitive tasks—format code after edits, summarize changes at session end. Templates configure how Claude works with you.

Compatible Skills

These tools work well together with claude-code-toolkit for enhanced workflows:

  • ai-marketing-claude-code-skills — semantic(0.35)+complementary+same_lang+similar_pop+shared_platform (62%)
  • skills — semantic(0.39)+complementary+same_lang+similar_pop+shared_platform (59%)
  • tutor-skills — semantic(0.35)+complementary+same_lang+similar_pop+shared_platform (57%)
  • codex-settings — semantic(0.18)+complementary+same_lang+similar_pop+shared_platform (56%)

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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 Claude Skill tools