AI Agent Skill HUB

review-r

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

857 stars
bypedrohcgs
View on GitHubInstallation ↓

Best use case

review-r is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

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

Teams using review-r should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/review-r/SKILL.md --create-dirs "https://raw.githubusercontent.com/pedrohcgs/claude-code-my-workflow/main/.claude/skills/review-r/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/review-r/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How review-r Compares

Feature / Agentreview-rStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

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

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

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SKILL.md Source

# 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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