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code-quality代码质量

Agent Skill

code-quality 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

760

周安装

32

GitHub Stars

7

下载量

266
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/d-o-hub/rust-self-learning-memory
仓库路径:skills/code-quality
安装命令:
npx skills add https://github.com/d-o-hub/rust-self-learning-memory --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/d-o-hub/rust-self-learning-memory --skill code-quality

简介

统一管理 Rust 项目的代码质量与安全检查。

  • 提供格式化、clippy lint、安全审计与覆盖率检测脚本。
  • 质量门禁要求 >90% 测试覆盖率且零警告通过。
  • 所有提交前必须通过 ./scripts/quality-gates.sh 验证。
  • code-quality 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 Quality

Unified skill for Rust code quality and clean code development. Use scripts as primary interface.

Quick Commands

# Format check
./scripts/code-quality.sh fmt

# Lint with clippy
./scripts/code-quality.sh clippy --workspace

# Security audit
./scripts/code-quality.sh audit

# Run all quality gates
./scripts/code-quality.sh check

# Full quality gates (coverage threshold 90%)
./scripts/quality-gates.sh

Quality Gates

CheckCommandTarget
Format./scripts/code-quality.sh fmt100% compliant
Lint./scripts/code-quality.sh clippy --workspaceZero warnings
Auditcargo auditNo known vulnerabilities
Coveragecargo llvm-cov --html>=90%
Docscargo doc --no-depsAll public APIs

Rust Quality Dimensions

DimensionFocusTarget
StructureFiles <500 LOC, clear modules<500 LOC per file
Error HandlingCustom Error, Result, no unwrap? operator, thiserror
Async Patternsspawn_blocking for CPU workNo blocking in async
Testing>=90% coverage, AAA patterncargo nextest + doctests
DocumentationPublic APIs documentedcargo doc passes
SecurityParameterized SQL, env varsNo hardcoded secrets

Clean Code Principles

SOLID

  • Single Responsibility: One reason to change per module
  • Open-Closed: Extend via traits, not modification
  • Liskov Substitution: Subtypes substitutable for base types
  • Interface Segregation: Small, focused interfaces
  • Dependency Inversion: Depend on abstractions, inject deps

DRY/KISS/YAGNI

  • DRY: Extract common code, single source of truth
  • KISS: Simple solutions, avoid over-engineering
  • YAGNI: Build what's needed now, defer complexity

Anti-Patterns

Rust-Specific

  • Excessive clone -> Use borrowing or Arc
  • Unnecessary unwrap -> Use ? operator
  • Deep nesting -> Extract methods
  • Large functions -> Split (<50 LOC)
  • Deadlocks -> Release locks before .await

General Code Smells

  • Long methods -> Break into smaller
  • Duplicate code -> Extract reusable functions
  • God class -> Reduce responsibilities
  • Feature envy -> Move methods to appropriate classes

Best Practices Checklist

DO

  • Files <500 LOC, clear module hierarchy
  • Custom Error enum with Result
  • No unwrap() in production (tests only)
  • async fn for IO, spawn_blocking for CPU
  • =90% test coverage
  • Public APIs documented
  • SOLID principles applied
  • No code duplication (DRY)

DON'T

  • Violate SOLID principles
  • Duplicate code "for now"
  • Functions >50 lines without justification
  • Skip static analysis warnings
  • Over-engineer simple problems
  • Create tight coupling

Code Review Output Format

# Code Quality Report

## Summary
- Score: X/100
- Critical Issues: N
- Warnings: M

## By Dimension
- Structure: [Status]
- Error Handling: [Status]
- Async Patterns: [Status]
- Testing: [Status]
- Documentation: [Status]

## Critical Issues
1. [Issue] - File:line - Fix: [Recommendation]

## Action Items
- [ ] High: Fix critical issues
- [ ] Medium: Address warnings

Dependency Monitoring

# Count duplicate dependencies (target: <100)
cargo tree -d | grep -cE "^[a-z]"

# Find unused dependencies
cargo machete && cargo shear

References

  • Detailed dimensions: quality-dimensions.md (in this directory)
  • ADR-036: Dependency Deduplication
  • ADR-032: Disk Space Optimization

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

37.68%
按下载量换算100

Claude

31.05%
按下载量换算83

Cursor

20.64%
按下载量换算55

Gemini CLI

8.57%
按下载量换算23

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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