What specific statistical checks does it perform?

It checks for regression specifications common in economics, such as fixed effects (TWFE) using fixest, clustered standard errors, and explicit missing value handling.

How does it help with reproducibility?

It flags hardcoded paths, missing seeds for random processes, and scattered library calls that often break reproducibility in research workflows.

Can it handle Quarto (.qmd) chapters?

Yes, it includes a dedicated Quarto dimension that validates chunk labels, captions, cross-references, and narrative flow.

Does this skill modify my R scripts directly?

No, this skill is designed to report issues by severity without editing your files, allowing you to review and implement changes manually.

R Economics Code Review

Name: R Economics Code Review
Author: naj2r

bynaj2r

0•

データサイエンスとML

Performs automated code reviews on R scripts and Quarto documents to ensure reproducibility and statistical correctness in economics research.

This skill provides a specialized review protocol for R and Quarto (.qmd) files, tailored specifically for the rigorous standards of empirical economics research. It evaluates scripts across four dimensions: reproducibility, statistical correctness, coding conventions, and Quarto-specific formatting. By identifying issues like missing seeds, incorrect fixed-effect specifications, and improper join logic, it helps researchers maintain high-quality, reproducible codebases for paper submissions and collaborative projects.

主な機能

010 GitHub stars

02Statistical correctness checks for regressions and data joins

03Quarto-specific validation for labels, captions, and cross-references

04Categorized reporting by severity including Error, Warning, Style, and Note

05Reproducibility auditing for seeds, paths, and library loading

06Enforcement of modern R conventions like fixest and native pipes

ユースケース

01Debugging reproducibility issues in large-scale data processing scripts

02Pre-submission quality checks for empirical research papers

03Standardizing R coding style across research teams

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add naj2r/claude-econ-paper-template review-r

For use in Claude.ai and ChatGPT

主な機能

010 GitHub stars

02Statistical correctness checks for regressions and data joins

03Quarto-specific validation for labels, captions, and cross-references

04Categorized reporting by severity including Error, Warning, Style, and Note

05Reproducibility auditing for seeds, paths, and library loading

06Enforcement of modern R conventions like fixest and native pipes

ユースケース

01Debugging reproducibility issues in large-scale data processing scripts

02Pre-submission quality checks for empirical research papers

03Standardizing R coding style across research teams

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add naj2r/claude-econ-paper-template review-r

For use in Claude.ai and ChatGPT