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m15-anti-patternm15 反纹

Agent Skill

m15-anti-pattern 用于记录任务执行中的错误、用户纠正、经验和能力缺口,适合在 Codex、Claude、Cursor、Gemini CLI 中希望让 Agent 持续沉淀问题、修正和最佳实践时使用。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

131,016

周安装

5,314

GitHub Stars

1,106

下载量

41,128
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

3

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:m15-anti-pattern(m15 反纹)
来源仓库:https://github.com/zhanghandong/rust-skills
仓库路径:skills/m15-anti-pattern
安装命令:
npx skills add https://github.com/zhanghandong/rust-skills --skill m15-anti-pattern
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。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/zhanghandong/rust-skills --skill m15-anti-pattern

简介

在审查期间识别并解决常见的 Rust 代码反模式。

  • 涵盖八种主要的反模式,并提供解释和惯用的替代方案,包括过度克隆、生产中展开以及对抗借用检查器
  • 提供一个思维框架来区分症状和根本原因,并将问题追溯到潜在的设计问题
  • 包括针对初学者错误、代码异味、常见错误模式以及已弃用的方法和修复的快速参考表
  • 将反模式与相关技能(所有权、错误处理、性能)联系起来以加深理解

SKILL.md

Anti-Patterns

Layer 2: Design Choices

Core Question

Is this pattern hiding a design problem?

When reviewing code:

  • Is this solving the symptom or the cause?
  • Is there a more idiomatic approach?
  • Does this fight or flow with Rust?

Anti-Pattern → Better Pattern

Anti-PatternWhy BadBetter
.clone() everywhereHides ownership issuesProper references or ownership
.unwrap() in productionRuntime panics?, expect, or handling
Rc when single ownerUnnecessary overheadSimple ownership
unsafe for convenienceUB riskFind safe pattern
OOP via DerefMisleading APIComposition, traits
Giant match armsUnmaintainableExtract to methods
String everywhereAllocation waste&str, Cow<str>
Ignoring #[must_use]Lost errorsHandle or let _ =

Thinking Prompt

When seeing suspicious code:

  1. Is this symptom or cause?

- Clone to avoid borrow? → Ownership design issue - Unwrap "because it won't fail"? → Unhandled case

  1. What would idiomatic code look like?

- References instead of clones - Iterators instead of index loops - Pattern matching instead of flags

  1. Does this fight Rust?

- Fighting borrow checker → restructure - Excessive unsafe → find safe pattern


Trace Up ↑

To design understanding:

"Why does my code have so many clones?"
    ↑ Ask: Is the ownership model correct?
    ↑ Check: m09-domain (data flow design)
    ↑ Check: m01-ownership (reference patterns)
Anti-PatternTrace ToQuestion
Clone everywherem01-ownershipWho should own this data?
Unwrap everywherem06-error-handlingWhat's the error strategy?
Rc everywherem09-domainIs ownership clear?
Fighting lifetimesm09-domainShould data structure change?

Trace Down ↓

To implementation (Layer 1):

"Replace clone with proper ownership"
    ↓ m01-ownership: Reference patterns
    ↓ m02-resource: Smart pointer if needed

"Replace unwrap with proper handling"
    ↓ m06-error-handling: ? operator
    ↓ m06-error-handling: expect with message

Top 5 Beginner Mistakes

RankMistakeFix
1Clone to escape borrow checkerUse references
2Unwrap in productionPropagate with ?
3String for everythingUse &str
4Index loopsUse iterators
5Fighting lifetimesRestructure to own data

Code Smell → Refactoring

SmellIndicatesRefactoring
Many .clone()Ownership unclearClarify data flow
Many .unwrap()Error handling missingAdd proper handling
Many pub fieldsEncapsulation brokenPrivate + accessors
Deep nestingComplex logicExtract methods
Long functionsMultiple responsibilitiesSplit
Giant enumsMissing abstractionTrait + types

Common Error Patterns

ErrorAnti-Pattern CauseFix
E0382 use after moveCloning vs ownershipProper references
Panic in productionUnwrap everywhere?, matching
Slow performanceString for all text&str, Cow
Borrow checker fightsWrong structureRestructure
Memory bloatRc/Arc everywhereSimple ownership

Deprecated → Better

DeprecatedBetter
Index-based loops.iter(), .enumerate()
collect::<Vec<_>>() then iterateChain iterators
Manual unsafe cellCell, RefCell
mem::transmute for castsas or TryFrom
Custom linked listVec, VecDeque
lazy_static!std::sync::OnceLock

Quick Review Checklist

  • No .clone() without justification
  • No .unwrap() in library code
  • No pub fields with invariants
  • No index loops when iterator works
  • No String where &str suffices
  • No ignored #[must_use] warnings
  • No unsafe without SAFETY comment
  • No giant functions (>50 lines)

Related Skills

WhenSee
Ownership patternsm01-ownership
Error handlingm06-error-handling
Mental modelsm14-mental-model
Performancem10-performance

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

能力 5

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

OpenCode

27.46%
按下载量换算11,294

Claude Code

20.76%
按下载量换算8,538

Codex

17.13%
按下载量换算7,045

Gemini CLI

11.89%
按下载量换算4,890

Cursor

7.41%
按下载量换算3,048

Antigravity

3.42%
按下载量换算1,407

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。

来源信息

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