social-data-analysis: Claude Code plugins for quantitative and qualitative sociological research

by nealcaren · AI Tool · ★ 90

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

How to install social-data-analysis

/plugin marketplace add nealcaren/social-data-analysis
/plugin install r-analyst@social-data-analysis

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

Security audit verdict: SAFE · quality 63/100

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

Stars90
Forks9
CategoryAI Tool
LicenseMIT
Quality Score63/100
Open Issues2
Last Updated2026-08-29
Created2026-01-17
Platformsclaude-code
Est. Tokens~18k

About social-data-analysis

Sociology Analysis Agents for Claude Code A Claude Code plugin marketplace with skills for rigorous quantitative and qualitative analysis in sociology and related social sciences. These skills guide you through systematic, publication-ready research workflows, each with mandatory pauses between phases for user review.

Compatible Skills

These tools work well together with social-data-analysis for enhanced workflows:

  • cc-marketplace — semantic(0.43)+complementary+similar_pop+shared_platform (55%)
  • claude-plugins — semantic(0.43)+complementary+similar_pop+shared_platform (55%)

social-data-analysis alternative? Top 4 similar tools

Looking for a social-data-analysis alternative? If you're comparing social-data-analysis with other ai tool tools, these 4 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

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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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