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Agent Skill · 研究检索

test-specialist(测试专家)

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。

test-specialist 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为操作浏览器;许可证为 MIT,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 10,367。

总安装 12,702周安装 524GitHub Stars 356下载 4,150核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT

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:test-specialist(测试专家)
来源仓库:https://github.com/ailabs-393/ai-labs-claude-skills
仓库路径:skills/test-specialist
安装命令:
npx skills add https://github.com/ailabs-393/ai-labs-claude-skills --skill test-specialist
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/ailabs-393/ai-labs-claude-skills --skill test-specialist

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

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,避免修改真实逻辑。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。安装方式:通过 npx skills add 命令从指定 GitHub 仓库添加。

来源仓库内路径:skills/test-specialist

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/ailabs-393/ai-labs-claude-skills --skill test-…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要操作浏览器,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

test-specialist 怎么安装?

在终端执行 npx skills add https://github.com/ailabs-393/ai-labs-claude-skills --skill test-specialist。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

test-specialist 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

test-specialist 需要什么权限?

权限级别是操作浏览器。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。

test-specialist 是免费的吗?

来源标注的许可证是 MIT。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

test-specialist 用的人多吗?

公开数据是累计安装 12,702 次,近一周安装 524 次,下载 4,150 次,GitHub 356 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

test-specialist 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 3 个目录同时收录,说明这个 Skill 流传比较广。
  • 许可证明确为 MIT,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
test-specialist

测试专家 · 本页

12,702356操作浏览器MIT通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Test Specialist

Overview

Apply systematic testing methodologies and debugging techniques to JavaScript/TypeScript applications. This skill provides comprehensive testing strategies, bug analysis frameworks, and automated tools for identifying coverage gaps and untested code.

Core Capabilities

1. Writing Test Cases

Write comprehensive tests covering unit, integration, and end-to-end scenarios.

Unit Testing Approach

Structure tests using the AAA pattern (Arrange-Act-Assert):

describe('ExpenseCalculator', () => {
  describe('calculateTotal', () => {
    test('sums expense amounts correctly', () => {
      // Arrange
      const expenses = [
        { amount: 100, category: 'food' },
        { amount: 50, category: 'transport' },
        { amount: 25, category: 'entertainment' }
      ];

      // Act
      const total = calculateTotal(expenses);

      // Assert
      expect(total).toBe(175);
    });

    test('handles empty expense list', () => {
      expect(calculateTotal([])).toBe(0);
    });

    test('handles negative amounts', () => {
      const expenses = [
        { amount: 100, category: 'food' },
        { amount: -50, category: 'refund' }
      ];
      expect(calculateTotal(expenses)).toBe(50);
    });
  });
});

Key principles:

  • Test one behavior per test
  • Cover happy path, edge cases, and error conditions
  • Use descriptive test names that explain the scenario
  • Keep tests independent and isolated
Integration Testing Approach

Test how components work together, including database, API, and service interactions:

describe('ExpenseAPI Integration', () => {
  beforeAll(async () => {
    await database.connect(TEST_DB_URL);
  });

  afterAll(async () => {
    await database.disconnect();
  });

  beforeEach(async () => {
    await database.clear();
    await seedTestData();
  });

  test('POST /expenses creates expense and updates total', async () => {
    const response = await request(app)
      .post('/api/expenses')
      .send({
        amount: 50,
        category: 'food',
        description: 'Lunch'
      })
      .expect(201);

    expect(response.body).toMatchObject({
      id: expect.any(Number),
      amount: 50,
      category: 'food'
    });

    // Verify database state
    const total = await getTotalExpenses();
    expect(total).toBe(50);
  });
});
End-to-End Testing Approach

Test complete user workflows using tools like Playwright or Cypress:

test('user can track expense from start to finish', async ({ page }) => {
  // Navigate to app
  await page.goto('/');

  // Add new expense
  await page.click('[data-testid="add-expense-btn"]');
  await page.fill('[data-testid="amount"]', '50.00');
  await page.selectOption('[data-testid="category"]', 'food');
  await page.fill('[data-testid="description"]', 'Lunch');
  await page.click('[data-testid="submit"]');

  // Verify expense appears in list
  await expect(page.locator('[data-testid="expense-item"]')).toContainText('Lunch');
  await expect(page.locator('[data-testid="total"]')).toContainText('$50.00');
});

2. Systematic Bug Analysis

Apply structured debugging methodology to identify and fix issues.

Five-Step Analysis Process
  1. Reproduction: Reliably reproduce the bug

- Document exact steps to trigger - Identify required environment/state - Note expected vs actual behavior

  1. Isolation: Narrow down the problem

- Binary search through code path - Create minimal reproduction case - Remove unrelated dependencies

  1. Root Cause Analysis: Determine underlying cause

- Trace execution flow - Check assumptions and preconditions - Review recent changes (git blame)

  1. Fix Implementation: Implement solution

- Write failing test first (TDD) - Implement the fix - Verify test passes

  1. Validation: Ensure completeness

- Run full test suite - Test edge cases - Verify no regressions

Common Bug Patterns

Race Conditions:

// Test concurrent operations
test('handles concurrent updates correctly', async () => {
  const promises = Array.from({ length: 100 }, () =>
    incrementExpenseCount()
  );

  await Promise.all(promises);
  expect(getExpenseCount()).toBe(100);
});

Null/Undefined Errors:

// Test null safety
test.each([null, undefined, '', 0, false])
  ('handles invalid input: %p', (input) => {
    expect(() => processExpense(input)).toThrow('Invalid expense');
  });

Off-by-One Errors:

// Test boundaries explicitly
describe('pagination', () => {
  test('handles empty list', () => {
    expect(paginate([], 1, 10)).toEqual([]);
  });

  test('handles single item', () => {
    expect(paginate([item], 1, 10)).toEqual([item]);
  });

  test('handles last page with partial items', () => {
    const items = Array.from({ length: 25 }, (_, i) => i);
    expect(paginate(items, 3, 10)).toHaveLength(5);
  });
});

3. Identifying Potential Issues

Proactively identify issues before they become bugs.

Security Vulnerabilities

Test for common security issues:

describe('security', () => {
  test('prevents SQL injection', async () => {
    const malicious = "'; DROP TABLE expenses; --";
    await expect(
      searchExpenses(malicious)
    ).resolves.not.toThrow();
  });

  test('sanitizes XSS in descriptions', () => {
    const xss = '<script>alert("xss")</script>';
    const expense = createExpense({ description: xss });
    expect(expense.description).not.toContain('<script>');
  });

  test('requires authentication for expense operations', async () => {
    await request(app)
      .post('/api/expenses')
      .send({ amount: 50 })
      .expect(401);
  });
});
Performance Issues

Test for performance problems:

test('processes large expense list efficiently', () => {
  const largeList = Array.from({ length: 10000 }, (_, i) => ({
    amount: i,
    category: 'test'
  }));

  const start = performance.now();
  const total = calculateTotal(largeList);
  const duration = performance.now() - start;

  expect(duration).toBeLessThan(100); // Should complete in <100ms
  expect(total).toBe(49995000);
});
Logic Errors

Use parameterized tests to catch edge cases:

test.each([
  // [input, expected, description]
  [[10, 20, 30], 60, 'normal positive values'],
  [[0, 0, 0], 0, 'all zeros'],
  [[-10, 20, -5], 5, 'mixed positive and negative'],
  [[0.1, 0.2], 0.3, 'decimal precision'],
  [[Number.MAX_SAFE_INTEGER], Number.MAX_SAFE_INTEGER, 'large numbers'],
])('calculateTotal(%p) = %p (%s)', (amounts, expected, description) => {
  const expenses = amounts.map(amount => ({ amount, category: 'test' }));
  expect(calculateTotal(expenses)).toBeCloseTo(expected);
});

4. Test Coverage Analysis

Use automated tools to identify gaps in test coverage.

Finding Untested Code

Run the provided script to identify source files without tests:

python3 scripts/find_untested_code.py src

The script will:

  • Scan source directory for all code files
  • Identify which files lack corresponding test files
  • Categorize untested files by type (components, services, utils, etc.)
  • Prioritize files that need testing most

Interpretation:

  • API/Services: High priority - test business logic and data operations
  • Models: High priority - test data validation and transformations
  • Hooks: Medium priority - test stateful behavior
  • Components: Medium priority - test complex UI logic
  • Utils: Low priority - test as needed for complex functions
Analyzing Coverage Reports

Run the coverage analysis script after generating coverage:

# Generate coverage (using Jest example)
npm test -- --coverage

# Analyze coverage gaps
python3 scripts/analyze_coverage.py coverage/coverage-final.json

The script identifies:

  • Files below coverage threshold (default 80%)
  • Statement, branch, and function coverage percentages
  • Priority files to improve

Coverage targets:

  • Critical paths: 90%+ coverage
  • Business logic: 85%+ coverage
  • UI components: 75%+ coverage
  • Utilities: 70%+ coverage

5. Test Maintenance and Quality

Ensure tests remain valuable and maintainable.

Test Code Quality Principles

DRY (Don't Repeat Yourself):

// Extract common setup
function createTestExpense(overrides = {}) {
  return {
    amount: 50,
    category: 'food',
    description: 'Test expense',
    date: new Date('2024-01-01'),
    ...overrides
  };
}

test('filters by category', () => {
  const expenses = [
    createTestExpense({ category: 'food' }),
    createTestExpense({ category: 'transport' }),
  ];
  // ...
});

Clear test data:

// Bad: Magic numbers
expect(calculateDiscount(100, 0.15)).toBe(85);

// Good: Named constants
const ORIGINAL_PRICE = 100;
const DISCOUNT_RATE = 0.15;
const EXPECTED_PRICE = 85;
expect(calculateDiscount(ORIGINAL_PRICE, DISCOUNT_RATE)).toBe(EXPECTED_PRICE);

Avoid test interdependence:

// Bad: Tests depend on execution order
let sharedState;
test('test 1', () => {
  sharedState = { value: 1 };
});
test('test 2', () => {
  expect(sharedState.value).toBe(1); // Depends on test 1
});

// Good: Independent tests
test('test 1', () => {
  const state = { value: 1 };
  expect(state.value).toBe(1);
});
test('test 2', () => {
  const state = { value: 1 };
  expect(state.value).toBe(1);
});

Workflow Decision Tree

Follow this decision tree to determine the testing approach:

  1. Adding new functionality?

- Yes → Write tests first (TDD) - Write failing test - Implement feature - Verify test passes - Refactor - No → Go to step 2

  1. Fixing a bug?

- Yes → Apply bug analysis process - Reproduce the bug - Write failing test demonstrating bug - Fix the implementation - Verify test passes - No → Go to step 3

  1. Improving test coverage?

- Yes → Use coverage tools - Run find_untested_code.py to identify gaps - Run analyze_coverage.py on coverage reports - Prioritize critical paths - Write tests for untested code - No → Go to step 4

  1. Analyzing code quality?

- Yes → Systematic review - Check for security vulnerabilities - Test edge cases and error handling - Verify performance characteristics - Review error handling

Testing Frameworks and Tools

Recommended Stack

Unit/Integration Testing:

  • Jest or Vitest for test runner
  • Testing Library for React components
  • Supertest for API testing
  • MSW (Mock Service Worker) for API mocking

E2E Testing:

  • Playwright or Cypress
  • Page Object Model pattern

Coverage:

  • Istanbul (built into Jest/Vitest)
  • Coverage reports in JSON format

Running Tests

# Run all tests
npm test

# Run with coverage
npm test -- --coverage

# Run specific test file
npm test -- ExpenseCalculator.test.ts

# Run in watch mode
npm test -- --watch

# Run E2E tests
npm run test:e2e

Reference Documentation

For detailed patterns and techniques, refer to:

  • references/testing_patterns.md - Comprehensive testing patterns, best practices, and code examples
  • references/bug_analysis.md - In-depth bug analysis framework, common bug patterns, and debugging techniques

These references contain extensive examples and advanced techniques. Load them when:

  • Dealing with complex testing scenarios
  • Need specific pattern implementations
  • Debugging unusual issues
  • Seeking best practices for specific situations

Scripts

analyze_coverage.py

Analyze Jest/Istanbul coverage reports to identify gaps:

python3 scripts/analyze_coverage.py [coverage-file]

Automatically finds common coverage file locations if not specified.

Output:

  • Files below coverage threshold
  • Statement, branch, and function coverage percentages
  • Priority files to improve

find_untested_code.py

Find source files without corresponding test files:

python3 scripts/find_untested_code.py [src-dir] [--pattern test|spec]

Output:

  • Total source and test file counts
  • Test file coverage percentage
  • Untested files categorized by type (API, services, components, etc.)
  • Recommendations for prioritization

Best Practices Summary

  1. Write tests first (TDD) when adding new features
  2. Test behavior, not implementation - tests should survive refactoring
  3. Keep tests independent - no shared state between tests
  4. Use descriptive names - test names should explain the scenario
  5. Cover edge cases - null, empty, boundary values, error conditions
  6. Mock external dependencies - tests should be fast and reliable
  7. Maintain high coverage - 80%+ for critical code
  8. Fix failing tests immediately - never commit broken tests
  9. Refactor tests - apply same quality standards as production code
  10. Use tools - automate coverage analysis and gap identification

平台分布

Claude Code

29.15%
按下载量换算1,210

OpenCode

22.25%
按下载量换算923

Antigravity

17.48%
按下载量换算725

Codex

12.02%
按下载量换算499

Cursor

7.09%
按下载量换算294

Gemini CLI

3.59%
按下载量换算149

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。

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