skills.rest
choi-jaehyun
choi-jaehyunCOMMUNITY
Explore all skills by this author →
GitHub

r-reviewer

Audit R scripts for reproducibility, correctness, and local style compliance.

Updated Feb 21, 2026
Search Tags:#r#quality-assurance#code-review#reproducibility#r-script#data.table
One-click install
npx skills add https://github.com/choi-jaehyun/jaehyun-claude-workflow --skill r-reviewer
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: r-reviewer
Source: https://github.com/choi-jaehyun/jaehyun-claude-workflow/tree/main/.agents/skills/r-reviewer
Command: npx skills add https://github.com/choi-jaehyun/jaehyun-claude-workflow --skill r-reviewer

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This skill provides a rigorous, report-only review of empirical R scripts to improve reproducibility and local style compliance without editing source files.

Core Features & Use Cases

  • Structure and header checks: validates script organization, inputs/outputs, and pipeline consistency.
  • Reproducibility and data.table conventions: ensures deterministic practices, proper data.table usage, and controlled randomness.
  • Domain correctness and documentation: assesses alignment with project standards and documents issues for fixes.

Quick Start

Run r-reviewer on an R script to produce a report detailing reproducibility, data.table conventions, and domain correctness without modifying the source.

Frequently Asked Questions about r-reviewer

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

FAQPage Schema
How do I review R scripts for reproducibility without modifying the source code?▼

You can review R scripts for reproducibility without modifying source code by applying a report-only review process that audits script structure, deterministic practices, and local style compliance, outputting a structured markdown report.

What is an R script reproducibility audit?▼

An R script reproducibility audit is a structured assessment that validates script organization, ensures deterministic practices and proper data.table usage, and checks domain correctness against local project conventions.

How do I check data.table conventions and pipeline consistency in R code?▼

You check data.table conventions and pipeline consistency in R code by running a referee-style review that validates script headers, inputs, outputs, and ensures proper data.table usage alongside controlled randomness.

Does the R code review process edit my source files?▼

The R code review process does not edit source files; it operates strictly as a report-only audit, documenting reproducibility, correctness, and style compliance issues in a generated markdown report.

When do I need a structured referee-style review for my R scripts?▼

You need a structured referee-style review for your R scripts after writing or modifying R code, ensuring data handling, figures, and documentation align with local standards before finalizing your project.

Related Skills

Explore More Education & Research Skills→
choi-jaehyunchoi-jaehyun

review-r

Review R scripts in code/ and generate per-script quality reports.

Community
Intermediate
choi-jaehyunchoi-jaehyun

r-code-conventions

Enforce repository-local R coding standards for here() and data.table pipelines.

Community
Intermediate
justanestajustanesta
2

optimizing-r

Profile and optimize R code by identifying bottlenecks and evaluating performance trade-offs.

Community
Advanced
liferayliferay
62

format-bash-source

Apply deterministic style rules to Bash source files.

Official
Advanced