Review r

Skill brycewang-stanford/Auto-Empirical-Research-Skills/skills/14-luischanci-claude-code-research-starter/dot-claude/skills/review-r

Run the R code review protocol on R scripts. Checks code quality, reproducibility, domain correctness, and professional standards. Produces a report without editing files.From its SKILL.md

Install

npx -y skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill review-r

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

no licenseNo license file was found in the repository. Code published without one is not open source by default, so using it at work is a question for whoever answers licensing questions where you are.

SKILL.md

1.3 KB, 232 tokens by cl100k_base, as published. Nobody here has run it

Review R Code

Run a comprehensive R code review on the specified script(s). Do NOT edit any R source files -- produce a report only.

Steps

Identify target: Use $ARGUMENTS to find the R file(s). If all, scan all .R files in scripts/ and project subdirectories.
Launch r-reviewer agent following the full protocol from .claude/agents/r-reviewer.md.
Read standards from .claude/rules/r-code-conventions.md.
Check 10 categories: Structure & Header, Console Output Hygiene, Reproducibility, Function Design, Domain Correctness, Figure Quality, RDS Data Pattern, Comment Quality, Error Handling, Professional Polish.
Save report to quality_reports/[script_name]_r_review.md.
Present summary: Total issues per script, severity breakdown (Critical/High/Medium/Low), top 3 critical issues.

Important

NEVER edit source files. Report only.
Prioritize correctness over style.

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.