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review-r

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UpdatedFebruary 12, 2026 at 10:47

Run the R code review protocol on R scripts. Checks code quality, reproducibility, data.table conventions, domain correctness, and professional standards. Produces a report without editing files.

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coadywing

coadywing/T32_oneill

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Software Quality Assurance Analysts and TestersComputer and Mathematical Occupations·SOC 15-1253

SKILL.md

readonly

name	review-r
description	Run the R code review protocol on R scripts. Checks code quality, reproducibility, data.table conventions, domain correctness, and professional standards. Produces a report without editing files.
disable-model-invocation	true
argument-hint	[filename or 'all']

Review R Scripts

Run the comprehensive R code review protocol.

Steps

Identify scripts to review:
- If $ARGUMENTS is a specific .r filename: review that file only
- If $ARGUMENTS is all: review all R scripts in code/
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
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.

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name	review-r
description	Run the R code review protocol on R scripts. Checks code quality, reproducibility, data.table conventions, domain correctness, and professional standards. Produces a report without editing files.
disable-model-invocation	true
argument-hint	[filename or 'all']

Review R Scripts

Run the comprehensive R code review protocol.

Steps

Identify scripts to review:
- If $ARGUMENTS is a specific .r filename: review that file only
- If $ARGUMENTS is all: review all R scripts in code/
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
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.