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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.

Published by brycewang-stanford ↗brycewang-stanford/Auto-Empirical-Research-Skills

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review-r

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Use review-r to run the code review protocol on [filename_or_all].

Required inputs

  • [filename_or_all]

User-approved starter prompt based on a pinned source version; check current skill requirements before running. Task evidence ↗

SKILL.md

name: review-rdescription: Run the R code review protocol on R scripts. Checks code quality, reproducibility, domain correctness, and professional standards. Produces a report without editing files.disable-model-invocation: trueargument-hint: "[filename or 'all' or 'LectureN']"allowed-tools: ["Read", "Grep", "Glob", "Write", "Task"]

Review R Scripts

Run the comprehensive R code review protocol.

Steps

  1. 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/*/

  2. 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
    • Save report to quality_reports/[script_name]_r_review.md

  3. After all reviews complete, present a summary:

    • Total issues found per script
    • Breakdown by severity (Critical / High / Medium / Low)
    • Top 3 most critical issues

  4. IMPORTANT: Do NOT edit any R source files. Only produce reports. Fixes are applied after user review.