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review-r vs scikit-learn

review-r and scikit-learn are both developer tools skills. scikit-learn scores higher (89 vs 80 out of 100). scikit-learn has more GitHub stars (48k), and scikit-learn was updated more recently (today). The table compares them side by side.

review-rscikit-learn
Score80 / 10089 / 100
What it doesRead-only R code review protocol for `.R` scripts. Checks code quality, reproducibility, domain correctness, tidyverse idioms, and professional standards; produces a report without editing. Use when user says "review this R script", "check the R code", "audit the analysis code", "code review on the R", or when an R file is touched as part of a paper submission. NOT for running the code — pair with `/audit-reproducibility` for numeric verification.Machine learning in Python with scikit-learn. Use for classification, regression, clustering, model evaluation, and ML pipelines.
PublisherCommunity: pedrohcgsCommunity: sickn33
GradesMaintenance A, Licence A, Quality AMaintenance A, Licence A, Quality A
npm downloads a weekNot on npmNot on npm
RunsSkillSkill
Works withClaude Code, Claude appsClaude Code, Claude apps
GitHub stars1,66548,364
Last commit27 Sept 202623 Oct 2026
LicenceMITMIT
Listed since20 Oct 202622 Oct 2026
Install review-rInstall scikit-learn

Questions

Is review-r or scikit-learn more popular?

scikit-learn has more GitHub stars: 48,364.

Can I use review-r and scikit-learn together?

Yes. AI assistants can load several skills at once. Install both and the assistant picks the right one for each task.