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Agent Skill · 开发

reviewdeck(reviewdeck 命令行)

reviewdeck 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

reviewdeck 是开发类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为操作浏览器;许可证信息还不明确,第三方扫描有提醒项,按安装量在开发类的 21,746 个 Skill 里排第 17,575。

总安装 396周安装 16GitHub Stars 27下载 124核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:reviewdeck(reviewdeck 命令行)
来源仓库:https://github.com/neutree-ai/reviewdeck
仓库路径:skills/reviewdeck
安装命令:
npx skills add https://github.com/neutree-ai/reviewdeck --skill reviewdeck
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/neutree-ai/reviewdeck --skill reviewdeck

这个 Skill 是做什么的

开发类 Skill 面向写代码、改代码和排查问题,一般会读写仓库文件,部分还会执行构建或测试命令。

用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息。适合围绕仓库状态、代码变更或协作事项进行整理。通过 npx skills add 命令安装,需结合原始 README 核验具体用法。安装前建议确认权限范围、维护状态及是否触发联网或文件读写操作。

reviewdeck 属于开发类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/reviewdeck

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/neutree-ai/reviewdeck --skill reviewdeck;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要操作浏览器,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

reviewdeck 怎么安装?

在终端执行 npx skills add https://github.com/neutree-ai/reviewdeck --skill reviewdeck。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

reviewdeck 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

reviewdeck 需要什么权限?

权限级别是操作浏览器。该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

reviewdeck 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

reviewdeck 用的人多吗?

公开数据是累计安装 396 次,近一周安装 16 次,下载 124 次,GitHub 27 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

reviewdeck 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理开发类任务、又不想每次都手写提示词的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

开发类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
skill-vetter

技能审查员 · OpenClaw

8,779,018986操作浏览器MIT-0通过
ontology

本体论 · OpenClaw

6,636,960576只读MIT-0通过
entra-app-registration

内部应用程序注册 · Codex、Claude

6,631,872764接触敏感数据未明确通过
entra-app-registration

内部应用程序注册 · Codex、Claude

3,757,680201接触敏感数据未明确通过
nano-banana-pro

纳米香蕉专业版 · OpenClaw

3,526,898364接触敏感数据MIT-0有提醒
reviewdeck

reviewdeck 命令行 · 本页

39627操作浏览器未明确有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Reviewdeck

You help a code reviewer turn a large PR diff into an ordered review deck, then hand it off for human review.

Default posture:

  • If the user wants PR review help, do not stop after split. Continue into render unless the user explicitly says they only want split output.
  • Do not substitute your own autonomous review for the human review step unless the user explicitly asks you to review the code yourself.
  • When invoking the CLI via npx, use npx reviewdeck@^0.5.0....

Main Path

1. Get the diff

Use the cheapest path that already matches the user's situation:

  • If the user already provided a .diff, use it directly.
  • If the user is reviewing a GitHub PR, run:
gh pr diff 123 > pr.diff
  • If the user is in a local git repo and wants the current branch vs main, run:
git diff main...HEAD > pr.diff

Other common fallbacks:

# Specific PR in another repo
gh pr diff 123 --repo owner/repo > pr.diff

# Between two commits
git diff <commit-a> <commit-b> > pr.diff

# Staged changes
git diff --cached > pr.diff

2. Index changes

npx reviewdeck@^0.5.0 index pr.diff

This prints a numbered list of changed lines. Those indices are the units you group in the split metadata.

3. Choose a review pattern

Before generating split metadata, decide whether the user has already expressed a preferred review flow.

  • If the user already implies a preferred flow, follow it.
  • If the user does not express a clear preference and interactive guidance would help, briefly offer these patterns:

- deps-first (recommended): order groups so earlier groups introduce context and dependencies needed by later groups. - tests/docs-first: review tests or docs that define expected behavior before the implementation that satisfies them.

  • If the user does not choose, continue without blocking. Default to deps-first.

Use tests/docs-first only when tests or docs materially explain the expected behavior. If the tests are trivial or only mirror the implementation, stay with deps-first.

If you need more detail about the patterns or how to choose between them, read references/split.md.

4. Generate split metadata

Output a single JSON object:

{
  "groups": [
    {
      "description": "Add version selection plumbing so later upgrade flows have a stable input",
      "changes": ["0-2", 5, 6]
    }
  ]
}

Default rules:

  • Every change index must appear exactly once.
  • Choose the number of groups based on reviewability. Keep tightly related changes together, and split only when doing so makes the review sequence clearer.
  • Choose an ordering that matches the selected review pattern.
  • Under deps-first, put prerequisite changes before changes that rely on them when possible.
  • Under tests/docs-first, put behavior-defining tests or docs before the implementation they explain when that improves reviewability.
  • description should help a reviewer navigate the sequence, not just restate filenames or labels.
  • When equivalent, prefer compact range syntax such as "0-23" over enumerating many individual indices to save tokens.
  • draftComments is optional. Add it only for concrete reviewer-worthy concerns you can already support from the diff.
  • Each draft comment must anchor to a change that belongs to the same group.

If you need heavier guidance for grouping, description writing, or draft comment quality, then read references/split.md.

5. Split and verify

echo '<meta JSON>' | npx reviewdeck@^0.5.0 split pr.diff -

Or write files:

echo '<meta JSON>' | npx reviewdeck@^0.5.0 split pr.diff - -o output/

This validates the metadata, generates sub-patches, and verifies that they compose back to the original diff.

If split fails, read the error, fix the metadata JSON, and retry.

6. Hand off to human review

After split succeeds, the default next step is live review:

npx reviewdeck@^0.5.0 render output/

Or from stdin:

echo '<meta JSON>' | npx reviewdeck@^0.5.0 split pr.diff - | npx reviewdeck@^0.5.0 render -

The server opens a browser, blocks until submission, and prints a review submission JSON object to stdout.

Default behavior:

  • Prefer to actually launch render and wait for submission when the user wants PR review help.
  • Do not stop at “split succeeded” if a live local review session is possible.
  • Treat comments as the final human-approved payload.
  • Treat draftComments as provenance for which agent drafts were accepted, rejected, or left pending.

7. Submit comments back to source

After render completes:

  • Summarize accepted/rejected/pending draft comment outcomes.
  • If there are final comments, ask whether the user wants them submitted back to the source review system.
  • If the target is already explicit in context, such as a specific PR or review thread, continue there instead of asking again.
  • When submitting, use comments, not raw draftComments.
  • If there are no final comments, say so clearly and stop.
  • Ask first when the target review system or PR/thread is not explicit.

平台分布

Codex

35.5%
按下载量换算44

Claude

31.28%
按下载量换算39

Cursor

20.53%
按下载量换算25

Gemini CLI

10.23%
按下载量换算13

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

操作浏览器

该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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