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review-r

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不碰外部(只输出文字)无严重或高危命中brycewang-stanford/Auto-Empirical-Research-Skills

它会碰到什么

扫了多少1 个文本文件,2 KB
它会碰到什么不碰外部(只输出文字)
命中总数0 处
命中统计严重 0 · 高 0 · 中 0 · 低 0

这一栏是扫描器报的事实,不是结论。命中多不等于有毒(安全工具、规则库、示例脚本本来就会包含危险写法),命中少也不等于干净。它和你手上的凭据、文件、网络有什么关系,需要你自己看。

技能内容

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.
  1. 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
  1. After all reviews complete, present a summary:
  • Total issues found per script
  • Breakdown by severity (Critical / High / Medium / Low)
  • Top 3 most critical issues
  1. IMPORTANT: Do NOT edit any R source files.

Only produce reports. Fixes are applied after user review.

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本站把开放许可(MIT / Apache 等)的技能按仓库打包整理到网盘,点一下转存到你自己的网盘,不用一个个从 GitHub 拉。许可未声明的技能只给原始仓库链接,不打包。

同名技能的其他版本

有 5 个不同仓库或目录里都有叫 review-r 的技能。它们内容并不相同,别混用: