Read-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.
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Use review-r to perform a read-only review of [R script], producing a severity-ranked quality and reproducibility report without changing the source file.
Required inputs
[R script]
User-approved starter prompt based on a pinned source version; check current skill requirements before running. Task evidence ↗
SKILL.md
name: review-rdescription: Read-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.argument-hint: "[filename or 'all' or 'LectureN']"allowed-tools: ["Read", "Grep", "Glob", "Write", "Agent", "Task"]disallowed-tools: ["Edit", "MultiEdit"]
Review R Scripts
Run the comprehensive R code review protocol.
Steps
Identify scripts to review:
If $ARGUMENTS is a specific .R filename: review that file only
If $ARGUMENTS is LectureN: review all R scripts matching that lecture
If $ARGUMENTS is all: review all R scripts in scripts/R/ and Figures/*/
For each script, launch the r-reviewer agent with instructions to:
Follow the full protocol in the agent instructions
Read .claude/rules/r-code-conventions.md for current standards
Return its report as its final response (ending with the findings json block); this skill saves it to quality_reports/[script_name]_r_review.md — the agent is read-only
After all reviews complete, present a summary:
Total issues found per script
Breakdown by severity (Critical / High / Medium / Low)
Top 3 most critical issues
Leave the R source files unchanged — the report goes to the user, who decides what to fix.
Only produce reports. Fixes are applied after user review.