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qa-expert质量保证专家

Agent Skill

qa-expert 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

10,992

周安装

458

GitHub Stars

47

下载量

3,664
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:qa-expert(质量保证专家)
来源仓库:https://github.com/charon-fan/agent-playbook
仓库路径:skills/qa-expert
安装命令:
npx skills add https://github.com/charon-fan/agent-playbook --skill qa-expert
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/charon-fan/agent-playbook --skill qa-expert

简介

qa-expert 提供基于风险的质量保证策略,涵盖测试金字塔分配、自动化优先级和安全门禁设计。

  • 适合在开发周期中建立系统化的测试体系,尤其关注核心功能和高风险模块的覆盖完整性。
  • 可生成单元测试、集成测试和端到端测试方案,并根据失败日志定位回归问题。
  • 使用时应结合项目现有测试框架,避免为通过测试而破坏业务逻辑的真实性。
  • qa-expert 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

QA Expert

Quality assurance specialist for developing comprehensive testing strategies and quality gates.

When This Skill Activates

Activates when you:

  • Ask for QA strategy
  • Need quality gates
  • Want to improve test coverage
  • Plan testing approach

Quality Assurance Strategy

1. Risk-Based Testing

Prioritize testing based on risk:

Risk LevelTesting Approach
Critical (Money, Security, Data)100% automation, chaos testing
High (Core features)Full E2E, integration, unit
Medium (Secondary features)Integration, unit
Low (Edge features)Unit tests only

2. Testing Pyramid Allocation

Level% of TestsFocus
E2E10%Critical user journeys
Integration30%API interactions
Unit60%Business logic, utilities

3. Quality Gates

Pre-Commit

- Lint: npm run lint
- Format check: npm run format:check
- Type check: npm run type-check
- Unit tests: npm run test:unit

Pre-Merge

- All tests: npm test
- Coverage threshold: > 80%
- Security scan: npm audit
- License check: npm run check:licenses

Pre-Production

- Full test suite: npm run test:all
- E2E tests: npm run test:e2e
- Performance tests: npm run test:perf
- Security audit: npm audit --audit-level high

Test Categories

Functional Testing

Purpose: Verify features work as specified

  • Happy path testing
  • Edge case testing
  • Boundary value analysis
  • Error handling

Non-Functional Testing

Performance

  • Response time < 200ms (p95)
  • Throughput > 1000 req/s
  • Memory usage stable
  • No memory leaks

Security

  • OWASP Top 10 coverage
  • Penetration testing
  • Dependency vulnerability scan
  • Secrets detection

Compatibility

  • Browser testing (Chrome, Firefox, Safari, Edge)
  • Device testing (Mobile, Desktop, Tablet)
  • OS testing (Windows, macOS, Linux)
  • Version testing (N-1 browser versions)

Regression Testing

  • Previous bugs don't reappear
  • New features don't break existing features
  • Performance doesn't degrade

Exploratory Testing

  • Find unexpected issues
  • Test edge cases
  • User experience issues

Test Planning

Test Plan Template

# Test Plan: [Feature Name]

## Overview
[Feature description]

## Scope
[In scope / Out of scope]

## Test Cases

### Functional
- [ ] TC001: [Description]
- [ ] TC002: [Description]

### Integration
- [ ] TC101: [Description]

### E2E
- [ ] TC201: [Description]

## Test Data
[Required test data]

## Environment
[Test environment setup]

## Schedule
[Testing timeline]

## Exit Criteria
[Definition of done]

Quality Metrics

Code Quality

  • Test Coverage: > 80%
  • Cyclomatic Complexity: < 10 per function
  • Code Duplication: < 5%
  • Technical Debt Ratio: < 5%

Defect Metrics

  • Defect Density: < 1 defect per 1000 LOC
  • Critical Defects: 0
  • High Defects: 0
  • Medium Defects: < 3

Test Metrics

  • Test Pass Rate: > 95%
  • Flaky Tests: 0
  • Test Execution Time: < 10 minutes

Automation Strategy

Automate When

  • Test is run frequently
  • Test has deterministic results
  • Test is stable
  • ROI justifies automation cost

Don't Automate When

  • Test requires human judgment
  • Test is exploratory
  • Test is one-time only
  • Test changes frequently

Bug Report Template

## Bug Summary
[One-line summary]

## Severity
Critical / High / Medium / Low

## Steps to Reproduce
1.
2.
3.

## Expected Behavior
[What should happen]

## Actual Behavior
[What actually happens]

## Environment
- OS:
- Browser:
- Version:

## Attachments
[Screenshots, logs, etc.]

Scripts

Generate test plan:

python scripts/generate_test_plan.py <feature>

Analyze test coverage:

python scripts/coverage_analysis.py

References

  • references/strategy.md - Testing strategies
  • references/gates.md - Quality gate definitions
  • references/metrics.md - QA metrics and KPIs

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

Claude Code

30.11%
按下载量换算1,103

OpenCode

24.25%
按下载量换算889

Codex

18.88%
按下载量换算692

Antigravity

11.15%
按下载量换算409

Gemini CLI

7.56%
按下载量换算277

windsurf

3.04%
按下载量换算111

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

操作浏览器

该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

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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