Awesome-Agent-Skills-for-Empirical-Research review-r

Run the R code review protocol on R scripts. Checks code quality, reproducibility, domain correctness, and professional standards. Produces a report without editing files.

install

source · Clone the upstream repo

git clone https://github.com/brycewang-stanford/Awesome-Agent-Skills-for-Empirical-Research

Claude Code · Install into ~/.claude/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/brycewang-stanford/Awesome-Agent-Skills-for-Empirical-Research "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/14-luischanci-claude-code-research-starter/dot-claude/skills/review-r" ~/.claude/skills/brycewang-stanford-awesome-agent-skills-for-empirical-research-review-r-ea2c5e && rm -rf "$T"

manifest: skills/14-luischanci-claude-code-research-starter/dot-claude/skills/review-r/SKILL.md

source content

Review R Code

Run a comprehensive R code review on the specified script(s). Do NOT edit any R source files -- produce a report only.

Steps

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.

Important

NEVER edit source files. Report only.
Prioritize correctness over style.