Audit R code for methodological flaws in econometric research.
npx skills add https://github.com/mgaldino/agents-workflow --skill review-r-mgaldino
Please help me install this Agent Skill. Skill: review-r Source: https://github.com/mgaldino/agents-workflow/tree/main/skills-docs/review-r Command: npx skills add https://github.com/mgaldino/agents-workflow --skill review-r-mgaldino
Audit R code used in academic political science and econometrics research to detect methodological flaws and improve reliability.
Run a structured review of the provided R code file and deliver a report covering methodological correctness, code quality, reproducibility, performance, and result presentation.
High-intent search queries and answers about installing and using this skill.
To audit R code for econometrics research, you review scripts to detect methodological flaws and improve reliability. This process evaluates econometric specifications, robustness checks, and reproducible workflows to ensure correctness.
Checking reproducibility in political science R scripts involves evaluating documentation, data handling, and project structure. A structured review ensures clear result presentation and verifies that analyses can be reliably reproduced.
Yes, you can review R notebooks for theses and academic publications. The review process is applicable to scripts and notebooks across research projects, assessing code quality, error handling, and packaging practices.
To evaluate if R code meets tidyverse and tidymodels conventions, assess code quality, style, and readability. A structured review checks alignment with these conventions to improve overall script reliability.
A structured R code review for econometric specifications covers methodological correctness, code quality, reproducibility, performance, and result presentation. It identifies flaws in data preprocessing and analysis workflows.
jkitchinReview multi-language codebases across six dimensions and output prioritized remediation recommendations.
jackspaceAutomate end-to-end scientific research workflows from data analysis to LaTeX publication.
impact-initiativesStandardize R code with snake_case naming, tidyverse-style piping, and cli::cli_abort error handling.
Weiwei-MaoGenerates structured peer-review reports for manuscripts and grant proposals.
