data-analytics-skills: A comprehensive list of Claude & Codex skills for a wide range of data analytics tasks

by nimrodfisher · Codex Skill · ★ 451

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

Security audit verdict: SAFE · quality 64/100

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.

claude-codecodexdata-analyticsskills

Quick Facts

Stars451
Forks80
LanguagePython
CategoryCodex Skill
LicenseMIT
Quality Score64/100
Last Updated2026-09-25
Created2026-01-11
Platformsclaude-code, codex, python
Est. Tokens~16k

About data-analytics-skills

Data Analytics Skills for Claude 31 portable AI-powered skills that turn Claude into a hands-on analytics partner No setup required · Works for any company or industry       What's in this repo? A structured library of skills (reusable instruction sets) that Claude activates on demand to help with every stage of the analyst workflow: from data quality checks and deep-dive analysis,...

Compatible Skills

These tools work well together with data-analytics-skills for enhanced workflows:

  • claude-prompt-engineering-guide — semantic(0.17)+complementary+same_lang+similar_pop+shared_platform (56%)
  • Ludus-FastMCP — semantic(0.26)+complementary+same_lang+similar_pop+shared_platform (54%)
  • FirstData — semantic(0.21)+complementary+same_lang+similar_pop+shared_platform (52%)
  • metabase-mcp — semantic(0.21)+complementary+same_lang+similar_pop+shared_platform (52%)

data-analytics-skills alternative? Top 6 similar tools

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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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