claude-code-now: The World's Fastest Claude Code Launcher Make Claude Code launching simpler Click Dock to launch, or start

by orange2ai · AI Skill · ★ 629

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

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.

agentsai-codingclaude-codelauncher

Quick Facts

Stars629
Forks38
LanguageShell
CategoryAI Skill
Quality Score71/100
Open Issues14
Last Updated2026-03-13
Created2025-09-24
Platformsclaude-code, cli
Est. Tokens~174k

About claude-code-now

🖥 Claude Code Now Launch Claude Code in 3 seconds, save 5 minutes daily ⚡ English 日本語 "Finally, no more typing commands in terminal every time!" ⭐ Chosen by 5,000+ users | GitHub Stars 🎯 What Does It Do? Your current workflow: With Claude Code Now: 💡 Side-by-side comparison: Launch 10 times daily = Save 5 minutes = 30 hours saved yearly 🎉 🌟 Why It's Special 💡 The Power of Context Claude...

Compatible Skills

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

  • ai-marketing-claude-code-skills — semantic(0.21)+complementary+same_lang+similar_pop+shared_platform (57%)
  • skills — semantic(0.21)+complementary+same_lang+similar_pop+shared_platform (52%)
  • learning-opportunities — semantic(0.19)+complementary+same_lang+similar_pop+shared_platform (52%)
  • skills — semantic(0.19)+complementary+same_lang+similar_pop+shared_platform (52%)
  • smart-ralph — semantic(0.17)+complementary+same_lang+similar_pop+shared_platform (51%)

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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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