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review-r

Review R scripts for quality and reproducibility issues.

1|1|Updated Apr 30, 2026
Search Tags:#software engineering#code review#reproducibility#R#research workflow
One-click install
npx skills add https://github.com/xashgg/claude-code-my-workflow-codex --skill review-r-xashgg
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: review-r
Source: https://github.com/xashgg/claude-code-my-workflow-codex/tree/main/.codex/skills/review-r
Command: npx skills add https://github.com/xashgg/claude-code-my-workflow-codex --skill review-r-xashgg

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

Automates the process of reviewing R code quality and reproducibility, providing detailed feedback without altering the source code.

Core Features & Use Cases

  • Quality Check: Identifies and reports issues related to code quality and tidiness.
  • Reproducibility Assessment: Verifies the code's ability to run in different environments.
  • Use Case: A researcher can request a review of an R script and get a report outlining critical, high, medium, and low-level issues, which they can then address manually.

Quick Start

Ask for an R code review using "Please review my R script 'scriptname.R'."

Frequently Asked Questions about review-r

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I check R code quality and reproducibility without altering my source files?▼

Automated R code review analyzes scripts to assess quality and reproducibility without modifying source files. It generates a detailed report identifying critical to low-level issues for manual correction.

What is the best way to review an R script for professional research workflow standards?▼

An automated R script review evaluates code against professional standards by processing files via glob patterns. It outputs a categorized report detailing reproducibility and quality issues to help align your research workflow.

Can I review multiple R scripts at once using glob patterns?▼

Yes, you can review multiple R scripts at once. The review process accepts user arguments or glob patterns to identify files, processing them together to output comprehensive quality and reproducibility reports.

Do I need to install any external dependencies to perform an automated R code review?▼

No external dependencies are required to perform the automated R code review. It operates using only local files and native agents, ensuring a reproducibility assessment without needing additional package installations.

How does automated reproducibility assessment work for local R scripts?▼

Automated reproducibility assessment for local R scripts works by analyzing the code structure without executing it. The review reports on the code's ability to run in different environments based on professional software engineering standards.

What types of issues are reported in an R code quality review?▼

An R code quality review reports issues categorized by severity: critical, high, medium, and low-level. This helps researchers prioritize manual code improvements for better reproducibility and tidiness.

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