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review-staged-changes审查阶段性变更

Agent Skill

review-staged-changes 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。

总安装

333

周安装

14

GitHub Stars

公开资料未说明

下载量

116
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:review-staged-changes(审查阶段性变更)
来源仓库:https://github.com/lichens-innovation/ai-dev-tools
仓库路径:skills/review-staged-changes
安装命令:
npx skills add https://github.com/lichens-innovation/ai-dev-tools --skill review-staged-changes
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/lichens-innovation/ai-dev-tools --skill review-staged-changes

简介

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。
  • review-staged-changes 属于前端设计类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Review Staged Changes

Reviews staged git changes to ensure they improve code quality, maintainability, and readability without introducing regressions.

Workflow

When reviewing staged changes:

  1. Get the staged diff: git diff --cached or git diff --staged
  2. Analyze each change against the four criteria below
  3. Provide structured feedback using the template in this skill: templates/review-summary.md (relative to the skill directory)

Review Criteria

1. Contextual Sense

Verify changes align with the stated purpose:

  • Do the modifications address the intended goal?
  • Are related changes grouped logically?
  • Is the scope appropriate (not too broad, not too narrow)?
  • Are any unrelated changes included that should be in a separate commit?

2. Regression Prevention

Identify potential breaking changes:

  • Behavior changes: Does the code behave differently than before?
  • API changes: Are function signatures, props, or interfaces modified?
  • Side effects: Could changes affect other parts of the codebase?
  • Dependencies: Are imports, dependencies, or external integrations affected?
  • Edge cases: Are existing edge cases still handled correctly?

Red flags:

  • Removing error handling without replacement
  • Changing return types or function signatures
  • Modifying shared utilities without checking usages
  • Removing validation or checks
  • Changing default values that other code might depend on

3. Maintainability & Evolvability

Assess long-term code health:

  • Structure: Is code better organized (extracted functions, clearer modules)?
  • Complexity: Is cyclomatic complexity reduced?
  • Coupling: Are dependencies reduced or better managed?
  • Testability: Is code easier to test (pure functions, dependency injection)?
  • Documentation: Are complex parts documented?
  • Patterns: Are established patterns followed consistently?

Signs of improvement:

  • Extracting reusable utilities
  • Reducing nested conditionals
  • Breaking large functions into smaller ones
  • Using consistent naming conventions
  • Following project architecture patterns

4. Readability

Evaluate code clarity:

  • Naming: Are variables, functions, and types clearly named?
  • Structure: Is code flow easy to follow?
  • Comments: Are comments helpful (explain "why", not "what")?
  • Formatting: Is code consistently formatted?
  • Magic numbers: Are constants extracted and named?

Signs of improvement:

  • More descriptive variable names
  • Reduced nesting levels
  • Clearer control flow
  • Better type annotations
  • Consistent code style

Common Patterns to Check

Refactoring Patterns

Good refactoring:

  • Extract function → Verify all call sites updated
  • Rename variable → Verify all references updated
  • Move code → Verify imports and dependencies updated

Risky refactoring:

  • Changing shared utilities without checking all usages
  • Modifying type definitions without updating consumers
  • Removing "unused" code that might be used dynamically

Code Quality Improvements

Verify improvements are real:

  • Not just moving code around
  • Actually reducing complexity
  • Actually improving readability
  • Making code more testable, not just prettier

Readability Improvements

Ensure clarity gains:

  • Names are actually more descriptive
  • Structure is genuinely easier to follow
  • Comments add value, not noise

When to Flag Issues

Flag changes if:

  • Critical: Changes break existing functionality or introduce bugs
  • Warning: Changes might cause issues or reduce maintainability
  • Suggestion: Changes could be improved but aren't problematic

Provide specific examples from the diff when flagging issues.

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

35.19%
按下载量换算41

Claude

33.89%
按下载量换算39

Cursor

17.72%
按下载量换算21

Gemini CLI

9.15%
按下载量换算11

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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