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Qa/Test Execution

Community
echoVic
qa/test-execution

测试执行方法,包含测试框架检测、测试运行、结果解析

Overview

PublisherechoVic
Repositoryboss-skill
Skill nameqa/test-execution
Stars
562
Forks
51
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by echoVic on GitHub. Read the source before you install it.

Installation

Install the Qa/Test Execution AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/echoVic/boss-skill/tree/main/skill/skills/qa/test-execution
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/echoVic/boss-skill.git /tmp/boss-skill
mkdir -p .claude/skills
cp -r /tmp/boss-skill/skill/skills/qa/test-execution .claude/skills/echovic-qa-test-execution
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Qa/Test Execution in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Qa/Test Execution on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Qa/Test Execution is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

测试执行方法

强制要求:真实执行测试

你必须真正执行测试,禁止生成 Mock 数据!

测试执行流程

  1. 检测项目类型和测试框架
  2. 根据项目类型执行测试
  3. 执行 E2E / 集成测试
  4. 解析测试输出(总数、通过数、失败数、覆盖率)

测试框架检测

JavaScript/TypeScript

  • Jest: jest.config.js, "jest" in package.json
  • Vitest: vitest.config.js, "vitest" in package.json
  • Playwright: playwright.config.js
  • Cypress: cypress.json

Python

  • pytest: pytest.ini, "pytest" in dependencies
  • unittest: 内置

Go

  • *_test.go 文件

测试命令

语言单元测试E2E测试
Node.jsnpm testnpx playwright test
Pythonpytestpytest tests/e2e
Gogo test ./...-

Playwright E2E 执行细节

完整方法论:详见 Skill(skill: "qa/e2e-playwright")

检测 Playwright 项目

检查以下标志确认项目使用 Playwright:

  • playwright.config.ts 或 playwright.config.js 存在
  • package.json 中包含 @playwright/test 依赖
  • e2e/ 或 tests/e2e/ 目录存在

执行命令

bash
# 安装浏览器(首次或 CI 环境)
npx playwright install --with-deps

# 运行全部 E2E 测试
npx playwright test

# 仅 critical 标签(门禁加速)
npx playwright test --grep @critical

# 指定浏览器
npx playwright test --project=chromium

# JSON 报告(门禁解析用)
npx playwright test --reporter=json

结果解析

Playwright JSON 报告关键字段:

字段说明
stats.expected通过的测试数
stats.unexpected失败的测试数
stats.flaky重试后通过的测试数
stats.skipped跳过的测试数

失败排查

bash
# 查看 trace(失败时自动生成)
npx playwright show-trace <trace.zip路径>

# 打开 HTML 报告
npx playwright show-report

Frequently asked questions

What does the Qa/Test Execution AI skill do?

测试执行方法,包含测试框架检测、测试运行、结果解析

Why use Qa/Test Execution on TypingMind?

Because you install it once and use it with any model. Qa/Test Execution is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Qa/Test Execution in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/echoVic/boss-skill/tree/main/skill/skills/qa/test-execution. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Qa/Test Execution?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Qa/Test Execution?

As many as you like. As long as a model supports skills, you can use Qa/Test Execution with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Qa/Test Execution AI skill free?

Yes. It is published on GitHub by echoVic under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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