statistical-analysis
statistical-analysis is a Statistical modelling skill for AI agents, published by K-Dense-AI in the scientific-agent-skills repository on GitHub. Skillspace rates statistical-analysis B (87/100) and it passed the safety scan; a judge model has also reviewed it.
Guided statistical analysis for research data - test selection, assumption checking, effect sizes, power analysis, Bayesian alternatives, and APA-formatted reporting. Use whenever a user wants to compare groups, test a hypothesis, analyze experimental or survey data, check statistical assumptions, compute required sample sizes, or write up results - even if they never name a specific test. Covers t-tests, ANOVA, chi-square, correlation, regression, non-parametric and Bayesian methods. For low-level model APIs, see the statsmodels and pymc skills.
- Grade
- B
- Quality
- 87 / 100
- Safety
- Passed
- GitHub stars
- 30,973
Placed #1 of 6 in the judged category final for Statistical modelling.
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
- Packaged: licensed, with a version or references
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 6 other repositories, in 5 collections
- Scope
- Portable: works in any project. General statistical test selection and APA reporting guidance
Judge review
Placed #1 of 6 in the judged category final for Statistical modelling.
- Trigger
82 82 - Instructions
92 92 - Specificity
92 92 - Safety
85 85 - Disclosure
85 85 - Maintenance
92 92
Dated, version-specific library gotchas (pingouin column renames, ArviZ's default CI change) and explicit anti-p-hacking discipline suggest this was refined against real analyses.
Not checked yet
- No blind task eval yet
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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