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qa-testing-mobile手机质量保证测试

Agent Skill

用于辅助测试设计、自动化测试、用例整理和回归验证。它适合让 Agent 编写单元测试、端到端测试、测试计划或根据失败日志定位问题。使用时需要确认项目测试框架、运行命令和夹具数据,避免为了通过测试而改坏真实逻辑;涉及浏览器或外部服务时,应区分本地模拟、测试环境和生产环境。

总安装

3,958

周安装

170

GitHub Stars

60

下载量

1,387
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-testing-mobile(手机质量保证测试)
来源仓库:https://github.com/vasilyu1983/ai-agents-public
仓库路径:skills/qa-testing-mobile
安装命令:
npx skills add https://github.com/vasilyu1983/ai-agents-public --skill qa-testing-mobile
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/vasilyu1983/ai-agents-public --skill qa-testing-mobile

简介

用于辅助测试设计、自动化测试、用例整理和回归验证。

  • 适合编写单元测试、端到端测试、测试计划或根据失败日志定位问题。
  • 使用时需确认项目测试框架、运行命令和夹具数据,避免为通过测试而改坏真实逻辑。
  • 涉及浏览器或外部服务时,应区分本地模拟、测试环境和生产环境。
  • 安装前建议确认权限范围和维护状态,以及是否会触发联网或文件读写。

SKILL.md

QA Mobile Testing

Design and execute reliable, cost-aware mobile testing across iOS and Android (native + cross-platform).

Quick Start

  • Fill assets/mobile-test-plan.md to define risk, layers, and gates.
  • Fill assets/device-matrix.md from analytics to pick Tier 1/2/3 coverage.
  • Use references/framework-comparison.md to choose automation frameworks.
  • Use references/flake-management.md to set a flake budget, reruns, and quarantine rules.

Scope

  • Define mobile test strategy across iOS and Android.
  • Plan device matrix, OS coverage, and risk tiers.
  • Choose automation frameworks and CI + device lab setup.
  • Address performance, network/offline, backgrounding, and permissions.
  • Define pre-release gates, staged rollout, and store readiness checks.

When NOT to Use

Inputs

  • Platforms, supported OS versions, and device targets.
  • App type (native, cross-platform, hybrid/webview).
  • Critical user flows and risk areas.
  • Distribution channels and release cadence.
  • Existing test tooling, CI, and device lab access (Firebase Test Lab, BrowserStack, AWS Device Farm).
  • Observability and rollout controls (Crashlytics/Sentry, performance/RUM, feature flags, staged rollout).
  • Test data strategy (seed/reset, test accounts, environment parity).

Workflow

  1. Define quality risks and SLIs (crash-free, ANR, startup time, key flow success).
  2. Build a device matrix from analytics; keep PR gates emulator/simulator-first.
  3. Choose frameworks (default: XCUITest + Espresso/Compose; add cross-platform only when it reduces total cost).
  4. Build test layers: unit, integration/contract, UI smoke, targeted E2E on real devices.
  5. Add mobile-specific coverage: permissions, background/foreground, deep links, offline/poor network.
  6. Add performance checks (startup, scrolling/jank, memory) and accessibility checks.
  7. Set flake budget, rerun limits, quarantine policy, and failure triage (artifacts + reproducibility).
  8. Define release gates + store readiness; ship via staged rollout with monitoring + rollback.

Outputs

  • Mobile test strategy and device matrix.
  • Automation plan and framework selection.
  • Test case inventory with priorities.
  • Release readiness checklist.
  • CI pipeline and reporting plan.

Quality Checks

  • Keep UI tests focused on critical flows; keep suites small and fast.
  • Separate device specific bugs from logic regressions.
  • Track flake rate per test/device; quarantine and fix top offenders.
  • Verify permissions, notifications, and background behavior.
  • Prefer stable selectors (accessibility IDs/test tags), not localized text.

Templates

  • assets/device-matrix.md for OS and device coverage.
  • assets/mobile-test-plan.md for test scope and automation.
  • assets/release-readiness-checklist.md for release gates.

Resources

  • references/framework-comparison.md for choosing between XCUITest, Espresso/Compose, Appium, Detox, Maestro, and Flutter testing.
  • references/flake-management.md for flake control guidance.
  • references/device-farm-strategies.md for cloud device farm selection and cost optimization.
  • references/mobile-performance-testing.md for startup, jank, memory, and battery testing.
  • references/cross-platform-test-patterns.md for React Native, Flutter, and KMP testing patterns.
  • data/sources.json for curated documentation and device lab links.

Related Skills

Fact-Checking

  • Use web search/web fetch to verify current external facts, versions, pricing, deadlines, regulations, or platform behavior before final answers.
  • Prefer primary sources; report source links and dates for volatile information.
  • If web access is unavailable, state the limitation and mark guidance as unverified.

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

25.28%
按下载量换算351

Cursor

19.79%
按下载量换算274

OpenCode

18.63%
按下载量换算258

Antigravity

13.23%
按下载量换算184

Codex

8.43%
按下载量换算117

Gemini CLI

3.22%
按下载量换算45

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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