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Review r

Skill brycewang-stanford/Auto-Empirical-Research-Skills/skills/12-pedrohcgs-claude-code-my-workflow/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

1.2 KB, 233 tokens by cl100k_base, as published. Nobody here has run it

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.

What ships with it

Read from the repository

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

Keep looking

Skills are one crate of 325,949. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.