social-science-analysis
social-science-analysis is a Statistical modelling skill for AI agents, published by beita6969 in the ScienceClaw repository on GitHub. Skillspace rates social-science-analysis D (68/100) and it passed the safety scan; the rating is based on static analysis only.
Social science research methods including survey design, qualitative analysis, content analysis, network analysis, psychometrics, and mixed methods. Covers sociology, psychology, political science, education, and communication studies. Use when user designs surveys, analyzes qualitative data, does content analysis, builds scales, or uses mixed methods. Triggers on "survey design", "qualitative analysis", "content analysis", "Likert scale", "thematic analysis", "grounded theory", "factor analysis", "SEM", "structural equation", "psychometrics", "interview coding".
- Grade
- D
- Quality
- 68 / 100
- Safety
- Passed
- GitHub stars
- 866
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 100 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 1 other repositories, in 1 collections
- Scope
- Portable: works in any project. General social science research methods; broadly reusable
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.