skills/15-Felpix-Studios-social-science-research/skills/review-r/SKILL.md
Run the R code review protocol on R scripts. Checks code quality, reproducibility, domain correctness, and professional standards. Produces a report without editing files. Make sure to use this skill whenever the user wants their existing R code evaluated or audited — not when they want new analysis written. Triggers include: "review my R script", "check my R code", "is my code replication-ready", "audit this R file", "does this code follow conventions", "will this reproduce", "check my analysis script", "code review", "review-r", or when the user has an existing .R file and wants quality feedback rather than new code.
npx skillsauth add brycewang-stanford/Awesome-Agent-Skills-for-Empirical-Research review-rInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Run the comprehensive R code review protocol.
Identify scripts to review:
$ARGUMENTS is a specific .R filename: review that file only$ARGUMENTS is a name pattern (e.g., model_name): glob for matching .R files. If multiple matches, use AskUserQuestion:
$ARGUMENTS is all: review all R scripts in scripts/R/ and Figures/*/$ARGUMENTS is empty, glob for all .R files. If multiple found, use AskUserQuestion as above.For each script, launch the r-reviewer agent with instructions to:
rules/r-code-conventions.md for current standardsquality_reports/[script_name]_r_review.mdAfter all reviews complete, present a summary:
IMPORTANT: Do NOT edit any R source files. Only produce reports. Fixes are applied after user review.
tools
Autonomous multi-round research review loop using MiniMax API. Use when you want to use MiniMax instead of Codex MCP for external review. Trigger with "auto review loop minimax" or "minimax review".
tools
Autonomous research review loop using any OpenAI-compatible LLM API. Configure via llm-chat MCP server or environment variables. Trigger with "auto review loop llm" or "llm review".
tools
Autonomous multi-round research review loop using MiniMax API. Use when you want to use MiniMax instead of Codex MCP for external review. Trigger with "auto review loop minimax" or "minimax review".
tools
Autonomous research review loop using any OpenAI-compatible LLM API. Configure via llm-chat MCP server or environment variables. Trigger with "auto review loop llm" or "llm review".