Review r
Skill Felpix-Studios/social-science-research/skills/review-r
R code review on existing scripts. Checks quality, reproducibility, domain correctness, professional standards. Produces report without editing files. Use when evaluating or auditing existing R code, not writing new analysis.From its SKILL.md
npx -y skills add Felpix-Studios/social-science-research --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
- 8 stars8 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
SKILL.md
1.9 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
$ARGUMENTSis a name pattern (e.g.,model_name): glob for matching.Rfiles. If multiple matches, use AskUserQuestion:- header: "Scripts"
- question: "Multiple R scripts match that pattern. Which should I review?"
- multiSelect: true
- options: list up to 4 matched files (label: filename, description: path and last modified). User can select multiple.
- If
$ARGUMENTSisall: review all R scripts inscripts/R/andFigures/*/ - If
$ARGUMENTSis empty, glob for all.Rfiles. If multiple found, use AskUserQuestion as above.
- If
-
For each script, launch the
r-revieweragent with instructions to:- Follow the full protocol in the agent instructions
- Read
${CLAUDE_PLUGIN_ROOT}/rules/r-code-conventions.mdfor current standards - Save report to
quality_reports/[script_name]_r_review.md
-
After all reviews complete, present a summary:
- Total issues found per script
- Breakdown by severity (Critical / High / Medium / Low)
- Top 3 most critical issues
-
IMPORTANT: Do NOT edit any R source files. Only produce reports. Fixes are applied after user review.