claude-code-setup: My full Claude Code configuration — agents, skills, hooks, plugins, and global instructions

by tomascortereal · Claude Skill · ★ 62

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

How to install claude-code-setup

git clone https://github.com/tomascortereal/claude-code-setup.git

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

Security audit verdict: SAFE · quality 59/100

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.

Quick Facts

Stars62
Forks25
LanguageJavaScript
CategoryClaude Skill
Quality Score59/100
Last Updated2026-04-08
Created2026-04-08
Platformsclaude-code, node
Est. Tokens~14k

About claude-code-setup

Claude Code Setup My full Claude Code configuration — agents, skills, hooks, plugins, and global instructions. How It Works Interactive diagram: docs/architecture.drawio (open in diagrams.net). What's Included Quick Install Then edit to fill in your personal values (API URL, OTEL endpoint, etc.). Plugins Official (claude-plugins-official) — 12 plugins Semantic code navigation (LSP-b

Compatible Skills

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

  • ai-max — semantic(0.47)+complementary+shared_fw(playwright)+same_lang+similar_pop+shared_platform (74%)
  • everything-openai-codex — semantic(0.18)+complementary+shared_fw(openai)+same_lang+similar_pop+shared_platform (64%)
  • claude-code-zero — semantic(0.30)+complementary+same_lang+similar_pop+shared_platform (61%)

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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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