Run the R code review protocol on R scripts. Checks code quality, reproducibility, domain correctness, and professional standards. Produces a report without editing files.
Scanned 9/3/2026
Install to Claude Code
Skills Directorynpx -y skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill review-r --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: review-r
description: Run the R code review protocol on R scripts. Checks code quality, reproducibility, domain correctness, and professional standards. Produces a report without editing files.
disable-model-invocation: true
argument-hint: "[filename or 'all' or 'LectureN']"
allowed-tools: ["Read", "Grep", "Glob", "Write", "Task"]
---
# 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 `LectureN`: review all R scripts matching that lecture
- If `$ARGUMENTS` is `all`: review all R scripts in `scripts/R/` and `Figures/*/`
2. **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`
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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