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cccskills
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review-r

Review existing R scripts for code quality, reproducibility, domain correctness, and coding standards. Produce a separate report for each script, plus a severity-based summary of findings and the three most critical issues, without changing source files.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

원문원문 설명 보기

Run the R code review protocol on R scripts. Checks code quality, reproducibility, domain correctness, and professional standards. Produces a report without editing files. Make sure to use this skill whenever the user wants their existing R code evaluated or audited — not when they want new analysis written. Triggers include: "review my R script", "check my R code", "is my code replication-ready", "audit this R file", "does this code follow conventions", "will this reproduce", "check my analysis script", "code review", "review-r", or when the user has an existing .R file and wants quality feedback rather than new code.

실행 점수 미검증

설치 방법 보기

이럴 때 유용합니다

  • Checking whether an analysis script is reproducible
  • Reviewing R code against coding conventions
  • Auditing several related R scripts
  • Prioritizing issues before making code changes

포함된 파일(1)

  • SKILL.md2.1 KB

SKILL.md(원문)

설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.

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 a name pattern (e.g., model_name): glob for matching .R files. 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 $ARGUMENTS is all: review all R scripts in scripts/R/ and Figures/*/
    • If $ARGUMENTS is empty, glob for all .R files. If multiple found, use AskUserQuestion as above.
  2. For each script, launch the r-reviewer agent with instructions to:

    • Follow the full protocol in the agent instructions
    • Read 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.

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