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code-quality代码质量

Agent Skill

code-quality 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

279

周安装

12

GitHub Stars

1

下载量

98
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-quality(代码质量)
来源仓库:https://github.com/tai-ch0802/skills-bundle
仓库路径:skills/code-quality
安装命令:
npx skills add https://github.com/tai-ch0802/skills-bundle --skill code-quality
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/tai-ch0802/skills-bundle --skill code-quality

简介

  • 不要
  • 直接写代码
  • 写教程
  • 让代码自文档化
  • 添加明显的评论
  • 立即修复错误
  • 首先解释一下修复方法
  • 内嵌小东西
  • 创建不必要的文件
  • 清楚地命名事物
  • 使用缩写
  • 保持函数较小
  • 编写100+行函数
  • 请记住:用户想要的是工作代码,而不是编程课程。
  • 每周安装量
  • 12
  • 存储库
  • tai-ch0802/技能包
  • GitHub 之星
  • 1
  • 第一次看到
  • 2026 年 3 月 1 日
  • 安全审计
  • Gen Agent Trust Hub 通行证
  • 套接字通行证
  • 斯尼克通行证

SKILL.md

Code Quality — Standards & Review

CRITICAL SKILL — Be concise, direct, and solution-focused.

Core Principles

PrincipleRule
SRPSingle Responsibility — each function/class does ONE thing
DRYDon't Repeat Yourself — extract duplicates, reuse
KISSKeep It Simple — simplest solution that works
YAGNIYou Aren't Gonna Need It — don't build unused features
Boy ScoutLeave code cleaner than you found it

Naming Rules

ElementConvention
VariablesReveal intent: userCount not n
FunctionsVerb + noun: getUserById() not user()
BooleansQuestion form: isActive, hasPermission, canEdit
ConstantsSCREAMING_SNAKE: MAX_RETRY_COUNT
Rule: If you need a comment to explain a name, rename it.

Function Rules

RuleDescription
SmallMax 20 lines, ideally 5-10
One ThingDoes one thing, does it well
One LevelOne level of abstraction per function
Few ArgsMax 3 arguments, prefer 0-2
No Side EffectsDon't mutate inputs unexpectedly

Code Structure

PatternApply
Guard ClausesEarly returns for edge cases
Flat > NestedAvoid deep nesting (max 2 levels)
CompositionSmall functions composed together
ColocationKeep related code close

Code Review Checklist

Correctness

  • Code does what it's supposed to do
  • Edge cases handled
  • Error handling in place
  • No obvious bugs

Security

  • Input validated and sanitized
  • No SQL/NoSQL injection vulnerabilities
  • No XSS or CSRF vulnerabilities
  • No hardcoded secrets or sensitive credentials
  • AI-Specific: Protection against Prompt Injection (if applicable)
  • AI-Specific: Outputs are sanitized before being used in critical sinks

Performance

  • No N+1 queries
  • No unnecessary loops
  • Appropriate caching
  • Bundle size impact considered

Testing

  • Unit tests for new code
  • Edge cases tested
  • Tests readable and maintainable

Documentation

  • Complex logic commented
  • Public APIs documented
  • README updated if needed

AI & LLM Review Patterns (2025)

Logic & Hallucinations

  • Chain of Thought: Does the logic follow a verifiable path?
  • Edge Cases: Did the AI account for empty states, timeouts, and partial failures?
  • External State: Is the code making safe assumptions about file systems or networks?

Prompt Engineering Review

// ❌ Vague prompt in code
const response = await ai.generate(userInput);

// ✅ Structured & Safe prompt
const response = await ai.generate({
  system: "You are a specialized parser...",
  input: sanitize(userInput),
  schema: ResponseSchema
});

Anti-Patterns

❌ Pattern✅ Fix
Comment every lineDelete obvious comments
Helper for one-linerInline the code
Factory for 2 objectsDirect instantiation
utils.ts with 1 functionPut code where used
"First we import..."Just write code
Deep nestingGuard clauses
Magic numbersNamed constants
God functionsSplit by responsibility
any typeProper types
Long functions (100+ lines)Small, focused functions

Review Comments Guide

// Blocking issues use 🔴
🔴 BLOCKING: SQL injection vulnerability here

// Important suggestions use 🟡
🟡 SUGGESTION: Consider using useMemo for performance

// Minor nits use 🟢
🟢 NIT: Prefer const over let for immutable variable

// Questions use ❓
❓ QUESTION: What happens if user is null here?

AI Coding Style

SituationAction
User asks for featureWrite it directly
User reports bugFix it, don't explain
No clear requirementAsk, don't assume

🔴 Before Editing ANY File (THINK FIRST!)

QuestionWhy
What imports this file?They might break
What does this file import?Interface changes
What tests cover this?Tests might fail
Is this a shared component?Multiple places affected
🔴 Rule: Edit the file + all dependent files in the SAME task. 🔴 Never leave broken imports or missing updates.

🔴 Self-Check Before Completing (MANDATORY)

CheckQuestion
Goal met?Did I do exactly what user asked?
Files edited?Did I modify all necessary files?
Code works?Did I test/verify the change?
No errors?Lint and TypeScript pass?
Nothing forgotten?Any edge cases missed?
🔴 Rule: If ANY check fails, fix it before completing.

Summary

DoDon't
Write code directlyWrite tutorials
Let code self-documentAdd obvious comments
Fix bugs immediatelyExplain the fix first
Inline small thingsCreate unnecessary files
Name things clearlyUse abbreviations
Keep functions smallWrite 100+ line functions
Remember: The user wants working code, not a programming lesson.

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

36.69%
按下载量换算36

Claude

30.25%
按下载量换算30

Cursor

19.61%
按下载量换算19

Gemini CLI

9.45%
按下载量换算9

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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