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AndreaMentasti
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review-r

Review R scripts for quality, reproducibility, and professional standards.

1|Updated Mar 13, 2026
Search Tags:#quality assurance#code review#r#reproducibility#script analysis#r-reviewer
One-click install
npx skills add https://github.com/AndreaMentasti/tweet-election --skill review-r-andreamentasti
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: review-r
Source: https://github.com/AndreaMentasti/tweet-election/tree/main/.claude/skills/review-r
Command: npx skills add https://github.com/AndreaMentasti/tweet-election --skill review-r-andreamentasti

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill automates the process of reviewing R scripts for quality, reproducibility, and adherence to professional standards, ensuring code integrity without manual intervention.

Core Features & Use Cases

  • Automated Code Review: Analyzes R scripts against predefined conventions and best practices.
  • Comprehensive Reporting: Generates detailed reports on code quality, identifying issues by severity.
  • Use Case: A data science team can use this Skill to automatically check all new R scripts before they are merged into the main repository, ensuring consistency and reducing bugs.

Quick Start

Use the review-r skill to review all R scripts in the 'Lecture3' directory.

Frequently Asked Questions about review-r

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

FAQPage Schema
How do I perform an automated R code review for reproducibility?▼

Automated R code review analyzes scripts to assess quality, reproducibility, and adherence to professional standards. It targets individual files or directories and generates a detailed report categorizing issues by severity without modifying source files.

What is the best way to check R scripts for professional standards before merging?▼

Checking R scripts for professional standards involves running an automated code review protocol that evaluates quality and reproducibility. It generates a comprehensive report identifying issues by severity, ensuring consistency and reducing bugs before repository integration.

Can I review all R scripts in a specific directory at once?▼

You can review all R scripts within designated directories at once. The review process targets individual files, lecture-specific scripts, or entire directories, generating a detailed quality report that categorizes issues by severity without altering source files.

Does R script quality assurance modify my source files during analysis?▼

R script quality assurance does not modify source files during analysis. It executes a review protocol that assesses code quality and reproducibility, generating a detailed report categorizing issues by severity while leaving the original scripts untouched.

How are code issues categorized when analyzing R scripts for quality assurance?▼

When analyzing R scripts for quality assurance, code issues are categorized by severity in a detailed report. The review protocol assesses code quality, reproducibility, and adherence to professional standards, identifying issues without modifying the source files.

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