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review-r

Evaluate R scripts for coding standards, reproducibility, and correctness.

5|1|Updated Mar 15, 2026
Search Tags:#code review#r#automated testing#quality report#script analysis
One-click install
npx skills add https://github.com/alohays/paper2pr --skill review-r-alohays
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: review-r
Source: https://github.com/alohays/paper2pr/tree/main/.claude/skills/review-r
Command: npx skills add https://github.com/alohays/paper2pr --skill review-r-alohays

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill streamlines the process of reviewing R scripts by automatically assessing code quality, reproducibility, and adherence to standards, generating detailed reports without manual edits.

Core Features & Use Cases

  • Automated Code Review: Launches agents to evaluate R scripts for correctness, style, and compliance with project rules.
  • Reproducibility Checks: Ensures R scripts can reliably produce consistent results in specified environments.
  • Use Case: A data analyst wants to validate multiple R scripts before publication, ensuring they meet coding standards and best practices, with comprehensive issue reports for each script.

Quick Start

Provide a filename, 'all', or a paper name as an argument to review corresponding R scripts and generate review reports.

Frequently Asked Questions about review-r

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

FAQPage Schema
How do I automate R code review for multiple scripts?▼

To automate R code review, provide a filename, 'all', or a paper name as an argument to evaluate R scripts for coding standards, reproducibility, and correctness, generating detailed issue reports automatically.

What does automated script analysis check for in R projects?▼

Automated script analysis evaluates R scripts for coding standards, reproducibility, domain correctness, and professional quality. It ensures consistent review protocols across project teams by leveraging predefined agent instructions and standards files.

Can I ensure R script reproducibility before publication?▼

Yes, you can ensure R script reproducibility before publication by running automated checks that verify scripts can reliably produce consistent results in specified environments, generating comprehensive issue reports for each script.

Do I need to manually edit the generated quality report?▼

No, you do not need to manually edit the generated quality report. The automated evaluation generates detailed reports regarding style, compliance, and correctness directly from the R scripts without manual edits.

What is the best way to validate coding standards in R scripts?▼

The best way to validate coding standards in R scripts is to launch automated agents that evaluate correctness, style, and compliance with project rules, producing a detailed quality report for each script.

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