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Agent Skill · 研究检索

requesting-code-review(代码审查请求)

requesting-code-review 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。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。

requesting-code-review 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为只读;许可证信息还不明确,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 48,934。

总安装 672周安装 28GitHub Stars 25下载 224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:requesting-code-review(代码审查请求)
来源仓库:https://github.com/oimiragieo/agent-studio
仓库路径:skills/requesting-code-review
安装命令:
npx skills add https://github.com/oimiragieo/agent-studio --skill requesting-code-review
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/oimiragieo/agent-studio --skill requesting-code-review

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

requesting-code-review 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中快速定位候选结果。适用于代码审查流程、协作规范与反馈机制相关任务。通过 npx skills add 命令从 GitHub 仓库安装并使用。

安装前需确认权限范围、维护状态及是否触发联网或文件操作。建议结合原始 README 核验具体用法和功能边界。

来源仓库内路径:skills/requesting-code-review

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/oimiragieo/agent-studio --skill requesting-cod…;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

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

requesting-code-review 怎么安装?

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

requesting-code-review 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。

requesting-code-review 需要什么权限?

权限级别是只读。该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

requesting-code-review 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。

requesting-code-review 用的人多吗?

公开数据是累计安装 672 次,近一周安装 28 次,下载 224 次,GitHub 25 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。

requesting-code-review 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

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。
  • 第三方扫描已通过,常见的高风险行为没有命中。
  • 标注为只读权限,试用阶段不容易误改本地文件。

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。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。
  • 只想先试试效果、不希望它改动本地文件的人。

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。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
requesting-code-review

代码审查请求 · 本页

67225只读未明确通过

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

Requesting Code Review

Dispatch code-reviewer subagent to catch issues before they cascade.

Core principle: Review early, review often.

When to Request Review

Mandatory:

  • After each task in subagent-driven development
  • After completing major feature
  • Before merge to main

Optional but valuable:

  • When stuck (fresh perspective)
  • Before refactoring (baseline check)
  • After fixing complex bug

How to Request

1. Get git SHAs:

BASE_SHA=$(git rev-parse HEAD~1)  # or origin/main
HEAD_SHA=$(git rev-parse HEAD)

2. Dispatch code-reviewer subagent:

Use Task tool with code-reviewer type, fill template at code-reviewer.md

Placeholders:

  • {WHAT_WAS_IMPLEMENTED} - What you just built
  • {PLAN_OR_REQUIREMENTS} - What it should do
  • {BASE_SHA} - Starting commit
  • {HEAD_SHA} - Ending commit
  • {DESCRIPTION} - Brief summary

3. Act on feedback:

  • Fix Critical issues immediately
  • Fix Important issues before proceeding
  • Note Minor issues for later
  • Push back if reviewer is wrong (with reasoning)

Example

[Just completed Task 2: Add verification function]

You: Let me request code review before proceeding.

BASE_SHA=$(git log --oneline | grep "Task 1" | head -1 | awk '{print $1}')
HEAD_SHA=$(git rev-parse HEAD)

[Dispatch code-reviewer subagent]
  WHAT_WAS_IMPLEMENTED: Verification and repair functions for conversation index
  PLAN_OR_REQUIREMENTS: Task 2 from docs/plans/deployment-plan.md
  BASE_SHA: a7981ec
  HEAD_SHA: 3df7661
  DESCRIPTION: Added verifyIndex() and repairIndex() with 4 issue types

[Subagent returns]:
  Strengths: Clean architecture, real tests
  Issues:
    Important: Missing progress indicators
    Minor: Magic number (100) for reporting interval
  Assessment: Ready to proceed

You: [Fix progress indicators]
[Continue to Task 3]

Task Tool Template

Task({
  task_id: 'task-1',
  subagent_type: 'general-purpose',
  model: 'sonnet',
  description: 'Code review for {DESCRIPTION}',
  prompt: `You are the CODE-REVIEWER agent.

## Instructions
1. Read your agent definition: .claude/agents/specialized/code-reviewer.md
2. Read memory: .claude/context/memory/learnings.md

## Review Request

### What Was Implemented
{WHAT_WAS_IMPLEMENTED}

### Requirements/Plan
{PLAN_OR_REQUIREMENTS}

### Git Range to Review
**Base:** {BASE_SHA}
**Head:** {HEAD_SHA}

Run these commands to see the changes:
\`\`\`bash
git diff --stat {BASE_SHA}..{HEAD_SHA}
git diff {BASE_SHA}..{HEAD_SHA}
\`\`\`

## Memory Protocol
Record findings to .claude/context/memory/learnings.md when done.
`,
});

Integration with Workflows

Subagent-Driven Development:

  • Review after EACH task
  • Catch issues before they compound
  • Fix before moving to next task

Executing Plans:

  • Review after each batch (3 tasks)
  • Get feedback, apply, continue

Ad-Hoc Development:

  • Review before merge
  • Review when stuck

Red Flags

Never:

  • Skip review because "it's simple"
  • Ignore Critical issues
  • Proceed with unfixed Important issues
  • Argue with valid technical feedback

If reviewer wrong:

  • Push back with technical reasoning
  • Show code/tests that prove it works
  • Request clarification

See template at: requesting-code-review/code-reviewer.md

Iron Laws

  1. ALWAYS capture BASE_SHA and HEAD_SHA before dispatching a review — without the exact commit range, the reviewer cannot produce accurate diff analysis.
  2. NEVER skip code review because a change "seems simple" — small changes introduce the same classes of bugs as large ones; the author cannot see their own blind spots.
  3. ALWAYS fix Critical issues before proceeding to the next task — unfixed critical issues compound and become harder to isolate as more code is layered on top.
  4. NEVER argue with technically correct reviewer feedback — push back only when you have codebase evidence showing the reviewer lacks context or is factually wrong.
  5. ALWAYS request review at every mandatory checkpoint (after each subagent task, after major features, before merge) — review requested too late cannot prevent compounding errors.

Anti-Patterns

Anti-PatternWhy It FailsCorrect Approach
Skipping review for "small" changesSmall changes introduce the same classes of bugs as large ones; "simple" is subjective and unreliableRequest review at every mandatory checkpoint regardless of perceived complexity
Dispatching reviewer without git SHAsReviewer cannot produce an accurate diff without a commit range; the review is inaccurate or incompleteCapture BASE_SHA and HEAD_SHA before every review dispatch
Proceeding past Critical issuesCritical issues compound; later tasks build on broken foundations that are expensive to fix retroactivelyFix all Critical issues before advancing to the next task
Treating reviewer feedback as optionalOptional review degrades code quality over time and compounds technical debt that can't be tracedFollow severity escalation: Critical → fix now, Important → fix before next task, Minor → note for later
Requesting review after batches of tasks instead of after each taskErrors from Task 1 contaminate Tasks 2–N; reviewers cannot isolate which task introduced which issueReview after each individual task before starting the next one

Memory Protocol (MANDATORY)

Before starting: Read .claude/context/memory/learnings.md

After completing:

  • New pattern -> .claude/context/memory/learnings.md
  • Issue found -> .claude/context/memory/issues.md
  • Decision made -> .claude/context/memory/decisions.md
ASSUME INTERRUPTION: If it's not in memory, it didn't happen.

平台分布

Codex

38.9%
按下载量换算87

Claude

31.07%
按下载量换算70

Cursor

16.76%
按下载量换算38

Gemini CLI

9.43%
按下载量换算21

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

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。目前只有一个公开来源,建议同时核对源仓库。

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