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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.
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Baseado na classificação ocupacional SOC
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| name | review-r |
| description | 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. |
| when_to_use | review R script, check R code, replication-ready, audit R file, follow conventions, will this reproduce, check analysis script, code review, review-r, quality feedback on .R file |
| argument-hint | [filename, 'all', or analysis name pattern] |
| allowed-tools | ["Read","Grep","Glob","Write","Task","AskUserQuestion"] |
Run the comprehensive R code review protocol.
Identify scripts to review:
$ARGUMENTS is a specific .R filename: review that file only$ARGUMENTS is a name pattern (e.g., model_name): glob for matching .R files. If multiple matches, use AskUserQuestion:
$ARGUMENTS is all: review all R scripts in scripts/R/ and Figures/*/$ARGUMENTS is empty, glob for all .R files. If multiple found, use AskUserQuestion as above.For each script, launch the r-reviewer agent with instructions to:
${CLAUDE_PLUGIN_ROOT}/rules/r-code-conventions.md for current standardsquality_reports/[script_name]_r_review.mdAfter all reviews complete, present a summary:
IMPORTANT: Do NOT edit any R source files. Only produce reports. Fixes are applied after user review.