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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

318

周安装

13

GitHub Stars

380

下载量

103
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

unknown

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/kdcokenny/opencode-workspace
仓库路径:skills/code-review
安装命令:
npx skills add https://github.com/kdcokenny/opencode-workspace --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。

skills.shnpx skills
npx skills add https://github.com/kdcokenny/opencode-workspace --skill code-review

简介

code-review 用于查找、检索和筛选相关信息。

  • 适合在 Codex、Claude、Cursor、Gemini CLI 中根据关键词、任务场景或来源线索快速定位候选结果。
  • 通过 npx skills add 命令从指定 GitHub 仓库安装,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,以及是否会触发联网、命令执行或文件读写。
  • 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 Philosophy

TL;DR

Systematic code review across 4 layers with severity classification. Only report findings with ≥80% confidence. Include file:line references for all issues.

When to Use This Skill

  • Before reporting implementation completion
  • When explicitly asked to review code
  • When using the /review command
  • As an independent audit after code changes

The 4 Review Layers

Layer 1: Correctness

  • Logic errors and edge cases
  • Error handling completeness
  • Type safety and null checks
  • Algorithm correctness
  • Off-by-one errors

Layer 2: Security

  • No hardcoded secrets or API keys
  • Input validation and sanitization
  • Injection vulnerability prevention (SQL, XSS, command)
  • Authentication and authorization checks
  • Sensitive data not logged
  • OWASP Top 10 awareness

Layer 3: Performance

  • No N+1 query patterns
  • Appropriate caching strategies
  • No unnecessary re-renders (React/frontend)
  • Lazy loading where appropriate
  • Memory leak prevention
  • Algorithmic complexity concerns

Layer 4: Style & Maintainability

  • Adherence to project conventions (check AGENTS.md)
  • Code duplication (DRY violations)
  • Complexity management (cyclomatic complexity)
  • Documentation completeness
  • Test coverage gaps

Severity Classification

SeverityIconCriteriaAction Required
Critical🔴Security vulnerabilities, crashes, data loss, corruptionMust fix before merge
Major🟠Bugs, performance issues, missing error handlingShould fix
Minor🟡Code smells, maintainability issues, test gapsNice to fix
Nitpick🟢Style preferences, naming suggestions, documentationOptional

Confidence Threshold

Only report findings with ≥80% confidence.

If uncertain about an issue:

  • State the uncertainty explicitly: "Potential issue (70% confidence):..."
  • Suggest investigation rather than assert a problem
  • Prefer false negatives over false positives (reduce noise)

Review Process

  1. Initial Scan - Identify all files in scope, understand the change
  2. Deep Analysis - Apply all 4 layers systematically to each file
  3. Context Evaluation - Consider surrounding code, project patterns, existing conventions
  4. Philosophy Check - Verify against code-philosophy (5 Laws) if applicable
  5. Synthesize Findings - Group by severity, deduplicate, prioritize

Output Format

Structure your review as:

  1. Files Reviewed - List all files analyzed
  2. Overall Assessment - APPROVE | REQUEST_CHANGES | NEEDS_DISCUSSION
  3. Summary - 2-3 sentence overview
  4. Critical Issues (🔴) - With file:line references
  5. Major Issues (🟠) - With file:line references
  6. Minor Issues (🟡) - With file:line references
  7. Positive Observations (🟢) - What's done well (always include at least one)
  8. Philosophy Compliance - Checklist results if applicable

What NOT to Do

  • Do NOT report low-confidence findings as definite issues
  • Do NOT provide vague feedback without file:line references
  • Do NOT skip any of the 4 layers
  • Do NOT forget to note positive observations
  • Do NOT modify any files during review
  • Do NOT approve without completing the full review process

Adherence Checklist

Before completing a review, verify:

  • All 4 layers analyzed (Correctness, Security, Performance, Style)
  • Severity assigned to each finding
  • Confidence ≥80% for all reported issues (or uncertainty stated)
  • File names and line numbers included for all findings
  • Positive observations noted
  • Output follows the standard format

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

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

展示第三方安全扫描或审计结果

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

Codex

36.1%
按下载量换算37

Claude

29.28%
按下载量换算30

Cursor

16.21%
按下载量换算17

Gemini CLI

9.27%
按下载量换算10

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

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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