stat-modeling-tools
stat-modeling-tools is a Statistical modelling skill for AI agents, published by DrugClaw in the DrugClaw repository on GitHub. Skillspace rates stat-modeling-tools C (74/100) and it passed the safety scan; the rating is based on static analysis only.
Statistical modeling workflow guide for hypothesis tests, effect-size reporting, statsmodels regression, diagnostics, and structured result export. Use when the user asks for statistical test selection, OLS or logistic regression, coefficient tables, inference, or reproducible statistical summaries for scientific datasets.
- Grade
- C
- Quality
- 74 / 100
- Safety
- Passed
- GitHub stars
- 126
Unproven: rated by static analysis only, not yet compared head-to-head.
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
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- Apache-2.0
- Adoption
- Adopted by 0 other repositories, in 0 collections
- Scope
- Portable: works in any project. general statistical modeling and reporting workflow
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
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