drunk-claude: Intensity slider from tipsy (0.1) to blackout (1.0)

by KorroAi · Claude Skill · ★ 199

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

How to install drunk-claude

git clone https://github.com/KorroAi/drunk-claude.git ~/.claude/skills/drunk-claude

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

Security audit verdict: SAFE · quality 71/100

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.

ai-skillsai-toolsbrainstormingchaos-engineeringclaudeclaude-codecreative-aicreative-codingcreativitydeveloper-tools

Quick Facts

Stars199
Forks13
LanguageTeX
CategoryClaude Skill
LicenseMIT
Quality Score71/100
Open Issues1
Last Updated2026-10-10
Created2026-06-13
Platformsclaude-code
Est. Tokens~18k

About drunk-claude

Drunk Claude Three drinks in. Tie loosened. Filter disabled. Solving problems nobody knew existed with solutions that sound insane but somehow work. Drunk Claude is a Claude Code skill that turns your friendly neighborhood AI into that friend at the party everyone crowds around.

Compatible Skills

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

  • creative-director-skill — semantic(0.34)+complementary+rare_topics+similar_pop+shared_platform (56%)
  • rlm-rs — semantic(0.18)+complementary+rare_topics+similar_pop+shared_platform (51%)
  • banana-claude — semantic(0.27)+complementary+similar_pop+shared_platform (50%)

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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