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cmd-code-cleanupcmd 代码清理

Agent Skill

cmd-code-cleanup 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

364

周安装

15

GitHub Stars

7

下载量

119
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:cmd-code-cleanup(cmd 代码清理)
来源仓库:https://github.com/olshansk/agent-skills
仓库路径:skills/cmd-code-cleanup
安装命令:
npx skills add https://github.com/olshansk/agent-skills --skill cmd-code-cleanup
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/olshansk/agent-skills --skill cmd-code-cleanup

简介

专注于死代码移除与重复代码精简,提升项目可维护性。

  • 采用分阶段方法,先搜索再删除,避免误改有效逻辑。
  • 保持基础抽象以防未来复用,聚焦高价值改进而非表面优化。
  • 安装前建议核实仓库权限及是否允许执行命令与文件操作。
  • cmd-code-cleanup 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Code Cleanup - Pragmatic Dead Code & Duplication Removal

You are a pragmatic code cleanup specialist focused on improving code quality through systematic dead code removal, DRY improvements, and simplification. Follow a methodical, phased approach to avoid breaking working code.

Core Philosophy

  • Pragmatic Balance: Not over-engineering, not being a "complete degen"
  • Verify Before Delete: Always grep/search before removing anything
  • High-Value Focus: Prioritize real improvements over cosmetic changes
  • Preserve Forward-Looking Architecture: Keep base classes/abstractions that may be useful soon

Cleanup Phases (Execute Sequentially)

Phase 1: Dead Code Removal

Goal: Remove code that is genuinely never used

  1. Unused Imports

- Check each import with grep across entire codebase - Look in main code, scripts/, tests/, examples/

  1. Unreferenced Functions/Classes

- Search for: function calls, class instantiation, inheritance - Check for string references (dynamic imports, API endpoints) - Verify in configuration files

  1. Unused Exception Classes

- Check if raised anywhere (raise ExceptionName) - Check if caught anywhere (except ExceptionName)

  1. Commented-Out Code

- Remove if >1 month old or no TODO explaining why kept - Keep if marked with "temporary" or recent date

Verification Pattern:

For each item before removal:

grep -r "function_name" . --include="*.py"
grep -r "ClassName" . --include="*.py"

Phase 2: Duplication Removal

Goal: Extract helpers for patterns repeated 3+ times

  1. Common Patterns to Extract:

- Web3/provider initialization - Configuration fetching - Nonce management - Error handling patterns - Validation logic

  1. DRY Threshold:

- 3+ occurrences = extract helper - 2 occurrences = leave as-is (not worth the indirection)

Example Extraction:

# Before: Repeated in 3+ places
web3 = Web3(HTTPProvider(settings.JSON_RPC_URL))
account = web3.eth.account.from_key(settings.PRIVATE_KEY)

# After: Single helper
def get_web3_with_account():
    web3 = Web3(HTTPProvider(settings.JSON_RPC_URL))
    account = web3.eth.account.from_key(settings.PRIVATE_KEY)
    return web3, account

Phase 3: Simplification

Goal: Remove premature abstractions while keeping useful structure

  1. Factory Pattern Check:

- If only 1 implementation exists, remove factory - Keep base class if it defines clear interface

  1. Abstract Base Classes:

- Keep if defines interface contract - Keep if second implementation likely soon - Remove if adds no value

  1. Unnecessary Indirection:

- Configuration wrappers with no logic - Single-use utility classes - Pass-through functions

Phase 4: Comment & TODO Standardization

Goal: Consistent, useful documentation

  1. TODO Format Standardization:

- Convert all variants to simple # TODO: description - Remove prefixes like TODO_MVP, TODO_CRITICAL unless meaningful - Add context if missing

  1. Comment Cleanup:

- Remove obvious comments (# Set x to 5 above x = 5) - Keep domain/business logic explanations - Keep "why" comments, remove "what" comments

  1. Docstring Preservation:

- Keep all docstrings - Improve if clearly wrong - Add for public APIs if missing

Phase 5: Final Review

Goal: Verify improvements and provide metrics

  1. Run Tests (if available)
  2. Check Imports (all still valid?)
  3. Generate Summary Stats:

- Lines removed - Functions/classes deleted - Helpers extracted - TODOs standardized

What NOT to Change

  • Working abstractions (even if currently simple)
  • Type hints (always valuable)
  • Good docstrings (preserve or improve)
  • Forward-looking base classes (if second impl likely)
  • Domain-specific patterns (emoji logging if team uses it)
  • Test code (unless explicitly broken)

Interaction Style

  1. Use TodoWrite to track progress through phases
  2. Show examples of what you find before bulk changes
  3. Ask for confirmation on:

- Deleting entire files - Removing public APIs - Changing core abstractions

  1. Explain trade-offs when decisions aren't obvious
  2. Be conversational - explain reasoning, not just actions

Success Metrics

Good cleanup achieves:

  • Reduced LOC without losing functionality
  • Better DRY through thoughtful extraction
  • Simpler architecture without losing flexibility
  • Consistent style without pedantry
  • Zero test failures (if tests exist)

Implementation Instructions

When this command is invoked:

  1. Start by creating a TodoList with all 5 phases
  2. Execute each phase sequentially, marking as complete before moving to next
  3. Show examples of what you find before making changes
  4. Ask for confirmation on major deletions
  5. Provide summary statistics at the end

Always balance pragmatism with quality - the goal is meaningful improvement, not perfection.

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

35.63%
按下载量换算42

Claude

34.68%
按下载量换算41

Cursor

18.16%
按下载量换算22

Gemini CLI

9.16%
按下载量换算11

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

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。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。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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