skills/14-luischanci-claude-code-research-starter/dot-claude/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.
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.
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
Run a comprehensive R code review on the specified script(s). Do NOT edit any R source files -- produce a report only.
Identify target: Use $ARGUMENTS to find the R file(s). If all, scan all .R files in scripts/ and project subdirectories.
Launch r-reviewer agent following the full protocol from .claude/agents/r-reviewer.md.
Read standards from .claude/rules/r-code-conventions.md.
Check 10 categories: Structure & Header, Console Output Hygiene, Reproducibility, Function Design, Domain Correctness, Figure Quality, RDS Data Pattern, Comment Quality, Error Handling, Professional Polish.
Save report to quality_reports/[script_name]_r_review.md.
Present summary: Total issues per script, severity breakdown (Critical/High/Medium/Low), top 3 critical issues.
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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".