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Automation
Skill

/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. Make sure to use this skill whenever the user wants their existing R code evaluated or audited — not when

From plugin
auto-empirical-research-skills
3.3k200 skills146 agents
Install
$ npx -y skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill review-r --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/review-r

Context preview

The summary Claude sees to decide when to auto-load this skill.

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

SKILL.md

review-r.SKILL.md
name: review-r
description: >-
  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.
argument-hint: "[filename, 'all', or analysis name pattern]"
allowed-tools: ["Read", "Grep", "Glob", "Write", "Task", "AskUserQuestion"]

Review R Scripts

Run the comprehensive R code review protocol.

Steps

1. **Identify scripts to review:**

  • If `$ARGUMENTS` is a specific `.R` filename: review that file only
  • If `$ARGUMENTS` is a name pattern (e.g., `model_name`): glob for matching `.R` files. If multiple matches, use AskUserQuestion:
  • header: "Scripts"
  • question: "Multiple R scripts match that pattern. Which should I review?"
  • multiSelect: true
  • options: list up to 4 matched files (label: filename, description: path and last modified). User can select multiple.
  • If `$ARGUMENTS` is `all`: review all R scripts in `scripts/R/` and `Figures/*/`
  • If `$ARGUMENTS` is empty, glob for all `.R` files. If multiple found, use AskUserQuestion as above.

2. **For each script, launch the `r-reviewer` agent** with instructions to:

  • Follow the full protocol in the agent instructions
  • Read `rules/r-code-conventions.md` for current standards
  • Save report to `quality_reports/[script_name]_r_review.md`

3. **After all reviews complete**, present a summary:

  • Total issues found per script
  • Breakdown by severity (Critical / High / Medium / Low)
  • Top 3 most critical issues

4. **IMPORTANT: Do NOT edit any R source files.** Only produce reports. Fixes are applied after user review.

Read more
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📌 文档结构(2026-07-22 起): 本文件是中文默认入口 —— banner + badges + 信任面 + 9 阶段流水线速览 + 76 行合集总表。 每个合集的完整描述、按用途分组、精确数字、验证方法在 docs/CONTENT_ZH.md(扩展正文,总表行内的 → 直接跳转到对应锚点)。 English version: README-en.md · 中文扩展正文:docs/CONTENT_ZH.md · README-zh-CN.md 已弃用(重定向占位) 🌐 语言: English |

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