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code-review代码审查

Agent Skill

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。

总安装

588

周安装

24

GitHub Stars

公开资料未说明

下载量

188
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT

最后核验

2026-05-01

来源状态

来源可访问

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/fredrikaverpil/dotfiles
仓库路径:skills/code-review
安装命令:
npx skills add fredrikaverpil/dotfiles --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 fredrikaverpil/dotfiles --skill "code-review"

简介

code-review 辅助审查代码风格、逻辑错误与安全风险。

  • 适用于 Pull Request 合并前的质量门禁检查。
  • 提供格式化建议、复杂度分析与潜在 Bug 提示。
  • 不能替代人工深度评审,高危变更必须二次确认。
  • 适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

SKILL.md

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

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

Related Skills

When reviewing code, also invoke these skills if applicable:

  • golang-style: For Go code reviews, ensure happy path coding, error wrapping, sentinel errors, and godoc-style comments
  • aip: For API design reviews, verify compliance with Google API Improvement Proposals

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.

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

04

需要参考平台分布和安装热度时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Claude Code

30.43%
按下载量换算57

windsurf

21.54%
按下载量换算40

OpenCode

20.52%
按下载量换算39

Codex

12.99%
按下载量换算24

Antigravity

7.56%
按下载量换算14

Gemini CLI

3.54%
按下载量换算7

安全审计

暂无安全审计结果可展示。

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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