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Agent Skill · 研究检索

code-review(代码审查)

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。

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,权限为调用外部服务;许可证为 MIT,暂无第三方扫描结果,按安装量在研究检索类的 73,675 个 Skill 里排第 72,323。

总安装 188周安装 8GitHub Stars 公开资料未说明下载 66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
MIT

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:code-review(代码审查)
来源仓库:https://github.com/dmdorta1111/jac-v1
仓库路径:skills/code-review
安装命令:
npx skills add dmdorta1111/jac-v1 --skill "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。

AgentSkills.tonpx skills
npx skills add dmdorta1111/jac-v1 --skill "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。

发现并安装 AI 代理的代码审查技能,用于技能检索和筛选。适用于 Codex、Claude、Cursor、Gemini CLI 中的代码质量检查场景。可结合任务线索快速定位候选技能结果。code-review 属于研究检索类 Skill,可作为该场景下的辅助能力补充。通过 github 安装,需确认权限和维护状态。

可能触发联网或文件读写,注意操作边界。

来源仓库内路径:skills/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 dmdorta1111/jac-v1 --skill "code-review";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

    它需要调用外部服务,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

code-review 怎么安装?

在终端执行 npx skills add dmdorta1111/jac-v1 --skill "code-review"。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

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。

code-review 需要什么权限?

权限级别是调用外部服务。该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

code-review 是免费的吗?

来源标注的许可证是 MIT。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

code-review 用的人多吗?

公开数据是累计安装 188 次,近一周安装 8 次,下载 66 次。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。

code-review 安全吗?

没有查到第三方扫描结果,安全性无法从公开资料判断,安装前请自行审查源码、依赖和命令行为。

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。
  • 许可证明确为 MIT,商用和分发边界好判断。

先想清楚的地方

  • 没有第三方扫描结果,安全性只能靠自己读源码判断。
  • 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。

不太适合

  • 要求有安全扫描结论才肯安装的团队。
  • 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
code-review

代码审查 · 本页

188—调用外部服务MIT未收录

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

name
code-review
description
Use when receiving code review feedback (especially if unclear or technically questionable), when completing tasks or major features requiring review before proceeding, or before making any completion/success claims. Covers three practices - receiving feedback with technical rigor over performative agreement, requesting reviews via code-reviewer subagent, and verification gates requiring evidence before any status claims. Essential for subagent-driven development, pull requests, and preventing false completion claims.

Code Review

Guide proper code review practices emphasizing technical rigor, evidence-based claims, and verification over performative responses.

Overview

Code review requires three distinct practices:

  1. Receiving feedback - Technical evaluation over performative agreement
  2. Requesting reviews - Systematic review via code-reviewer subagent
  3. Verification gates - Evidence before any completion claims

Each practice has specific triggers and protocols detailed in reference files.

Core Principle

Always honoring YAGNI, KISS, and DRY principles. Be honest, be brutal, straight to the point, and be concise.

Technical correctness over social comfort. Verify before implementing. Ask before assuming. Evidence before claims.

When to Use This Skill

Receiving Feedback

Trigger when:

  • Receiving code review comments from any source
  • Feedback seems unclear or technically questionable
  • Multiple review items need prioritization
  • External reviewer lacks full context
  • Suggestion conflicts with existing decisions

Reference: references/code-review-reception.md

Requesting Review

Trigger when:

  • Completing tasks in subagent-driven development (after EACH task)
  • Finishing major features or refactors
  • Before merging to main branch
  • Stuck and need fresh perspective
  • After fixing complex bugs

Reference: references/requesting-code-review.md

Verification Gates

Trigger when:

  • About to claim tests pass, build succeeds, or work is complete
  • Before committing, pushing, or creating PRs
  • Moving to next task
  • Any statement suggesting success/completion
  • Expressing satisfaction with work

Reference: references/verification-before-completion.md

Quick Decision Tree

SITUATION?
│
├─ Received feedback
│  ├─ Unclear items? → STOP, ask for clarification first
│  ├─ From human partner? → Understand, then implement
│  └─ From external reviewer? → Verify technically before implementing
│
├─ Completed work
│  ├─ Major feature/task? → Request code-reviewer subagent review
│  └─ Before merge? → Request code-reviewer subagent review
│
└─ About to claim status
   ├─ Have fresh verification? → State claim WITH evidence
   └─ No fresh verification? → RUN verification command first

Receiving Feedback Protocol

Response Pattern

READ → UNDERSTAND → VERIFY → EVALUATE → RESPOND → IMPLEMENT

Key Rules

  • ❌ No performative agreement: "You're absolutely right!", "Great point!", "Thanks for [anything]"
  • ❌ No implementation before verification
  • ✅ Restate requirement, ask questions, push back with technical reasoning, or just start working
  • ✅ If unclear: STOP and ask for clarification on ALL unclear items first
  • ✅ YAGNI check: grep for usage before implementing suggested "proper" features

Source Handling

  • Human partner: Trusted - implement after understanding, no performative agreement
  • External reviewers: Verify technically correct, check for breakage, push back if wrong

Full protocol: references/code-review-reception.md

Requesting Review Protocol

When to Request

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

Process

  1. Get git SHAs: BASE_SHA=$(git rev-parse HEAD~1) and HEAD_SHA=$(git rev-parse HEAD)
  2. Dispatch code-reviewer subagent via Task tool with: WHAT_WAS_IMPLEMENTED, PLAN_OR_REQUIREMENTS, BASE_SHA, HEAD_SHA, DESCRIPTION
  3. Act on feedback: Fix Critical immediately, Important before proceeding, note Minor for later

Full protocol: references/requesting-code-review.md

Verification Gates Protocol

The Iron Law

NO COMPLETION CLAIMS WITHOUT FRESH VERIFICATION EVIDENCE

Gate Function

IDENTIFY command → RUN full command → READ output → VERIFY confirms claim → THEN claim

Skip any step = lying, not verifying

Requirements

  • Tests pass: Test output shows 0 failures
  • Build succeeds: Build command exit 0
  • Bug fixed: Test original symptom passes
  • Requirements met: Line-by-line checklist verified

Red Flags - STOP

Using "should"/"probably"/"seems to", expressing satisfaction before verification, committing without verification, trusting agent reports, ANY wording implying success without running verification

Full protocol: references/verification-before-completion.md

Integration with Workflows

  • Subagent-Driven: Review after EACH task, verify before moving to next
  • Pull Requests: Verify tests pass, request code-reviewer review before merge
  • General: Apply verification gates before any status claims, push back on invalid feedback

Bottom Line

  1. Technical rigor over social performance - No performative agreement
  2. Systematic review processes - Use code-reviewer subagent
  3. Evidence before claims - Verification gates always

Verify. Question. Then implement. Evidence. Then claim.

平台分布

mcpjam

27.26%
按下载量换算18

Claude Code

24.36%
按下载量换算16

windsurf

16%
按下载量换算11

zencoder

12.61%
按下载量换算8

crush

6.83%
按下载量换算5

cline

2.9%
按下载量换算2

安全审计

暂无安全审计结果可展示。

权限和风险

调用外部服务

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

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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