Review r
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npx -y skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill review-rAssembled 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.
What its author says it does
Copied from the file, not written here
Run the R code review protocol on R scripts. Checks code quality, reproducibility, domain correctness, and professional standards. Produces a report without editing files.
SKILL.md
1.2 KB, as published. Nobody here has run it
Review R Scripts
Run the comprehensive R code review protocol.
Steps
-
Identify scripts to review:
- If
$ARGUMENTSis a specific.Rfilename: review that file only - If
$ARGUMENTSisLectureN: review all R scripts matching that lecture - If
$ARGUMENTSisall: review all R scripts inscripts/R/andFigures/*/
- If
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For each script, launch the
r-revieweragent with instructions to:- Follow the full protocol in the agent instructions
- Read
.claude/rules/r-code-conventions.mdfor current standards - Save report to
quality_reports/[script_name]_r_review.md
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After all reviews complete, present a summary:
- Total issues found per script
- Breakdown by severity (Critical / High / Medium / Low)
- Top 3 most critical issues
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IMPORTANT: Do NOT edit any R source files. Only produce reports. Fixes are applied after user review.