regression-modeler
regression-modeler is a Statistical modelling skill for AI agents, published by zebbern in the claude-code-guide repository on GitHub. Skillspace rates regression-modeler C (74/100) and it passed the safety scan; a judge model has also reviewed it.
Run regression analysis (OLS or logistic) on uploaded CSV/Excel data, generating coefficients, R², p-values, VIF, and plain-language interpretation. Triggered by requests for regression modeling, fitting data, testing significance, checking multicollinearity, or keywords like OLS, logit, coefficient, p-value, or R-squared.
- Grade
- C
- Quality
- 74 / 100
- Safety
- Passed
- GitHub stars
- 4,620
Placed #4 of 6 in the judged category final for Statistical modelling.
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
- Not declared. Check the repository before reusing it.
Judge review
Placed #4 of 6 in the judged category final for Statistical modelling.
- Trigger
80 80 - Instructions
82 82 - Specificity
85 85 - Safety
88 88 - Disclosure
78 78 - Maintenance
65 65
Clean, well-documented CLI wrapper with a precise parameter table and output schema, though dependency versions are left unpinned.
Not checked yet
- Category is a classifier prediction; no model has read this skill yet
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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