awesome-claude-skills: Explore high-quality Claude skills focused on business analysis and content creation, enhancing your AI

by Mann1988 · Claude Skill · ★ 67

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

Security audit verdict: SAFE · quality 58/100

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.

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Quick Facts

Stars67
Forks18
LanguagePython
CategoryClaude Skill
LicenseMIT
Quality Score58/100
Last Updated2026-10-05
Created2025-11-21
Platformsclaude-code, cli, codex, gemini, python
Est. Tokens~14k

About awesome-claude-skills

🌟 awesome-claude-skills - Enhance Your Productivity with AI 📖 Description awesome-claude-skills offers tools designed specifically for brain-workers. Created by Fleury, a former McKinsey analyst and current AI product manager, this application helps enhance daily productivity through intelligent features.

Compatible Skills

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

  • awesome-claude-skills — semantic(0.49)+complementary+same_lang+similar_pop+shared_platform (62%)
  • Claude_api — semantic(0.33)+complementary+rare_topics+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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