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test-executor测试执行者

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

309

周安装

13

GitHub Stars

21

下载量

108
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:test-executor(测试执行者)
来源仓库:https://github.com/matteocervelli/llms
仓库路径:skills/test-executor
安装命令:
npx skills add https://github.com/matteocervelli/llms --skill test-executor
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/matteocervelli/llms --skill test-executor

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。
  • 安装方式:github,需通过 npx skills add 命令从指定仓库添加。

SKILL.md

Test Executor Skill

Purpose

This skill provides systematic test execution capabilities across different test types (unit, integration, e2e) with proper configuration, parallel execution, test filtering, and comprehensive reporting.

When to Use

  • Running unit tests for a module or feature
  • Executing integration tests with external dependencies
  • Running full test suite before commit/PR
  • Debugging failing tests with verbose output
  • Checking test execution time and performance
  • Running tests in different environments (dev, CI/CD)

Test Execution Workflow

1. Test Discovery and Planning

Identify Test Scope:

# Discover all test files
pytest --collect-only

# Count tests by directory
pytest --collect-only tests/unit/
pytest --collect-only tests/integration/
pytest --collect-only tests/e2e/

# Show test structure
pytest --collect-only -q

Analyze Test Organization:

# List all test files
find tests/ -name "test_*.py" -o -name "*_test.py"

# Count tests by type
ls tests/unit/test_*.py | wc -l
ls tests/integration/test_*.py | wc -l

# Check for test markers
grep -r "@pytest.mark" tests/

Deliverable: Test inventory and execution plan


2. Unit Test Execution

Run All Unit Tests:

# Basic execution
pytest tests/unit/

# Verbose output with test names
pytest tests/unit/ -v

# Extra verbose with test details
pytest tests/unit/ -vv

# Show print statements
pytest tests/unit/ -s

# Fail fast (stop on first failure)
pytest tests/unit/ -x

# Run last failed tests only
pytest tests/unit/ --lf

Run Specific Tests:

# Run specific test file
pytest tests/unit/test_feature.py

# Run specific test function
pytest tests/unit/test_feature.py::test_function_name

# Run specific test class
pytest tests/unit/test_feature.py::TestClassName

# Run specific test method
pytest tests/unit/test_feature.py::TestClassName::test_method_name

# Run tests matching pattern
pytest tests/unit/ -k "test_create"
pytest tests/unit/ -k "test_create or test_update"
pytest tests/unit/ -k "not slow"

Run with Markers:

# Run only fast tests
pytest tests/unit/ -m "not slow"

# Run only smoke tests
pytest tests/unit/ -m "smoke"

# Run tests with multiple markers
pytest tests/unit/ -m "smoke and not slow"

# List available markers
pytest --markers

Deliverable: Unit test execution results


3. Integration Test Execution

Run Integration Tests:

# Run all integration tests
pytest tests/integration/ -v

# Run with longer timeout for external services
pytest tests/integration/ --timeout=300

# Run with specific environment
ENV=test pytest tests/integration/

# Skip slow integration tests
pytest tests/integration/ -m "not slow"

Run with Database/Services:

# Run with test database
pytest tests/integration/ --db-url=sqlite:///test.db

# Run with Docker containers (if using testcontainers)
pytest tests/integration/ --with-docker

# Run with mocked external services
pytest tests/integration/ --mock-external

# Run with real external services
pytest tests/integration/ --real-services

Deliverable: Integration test results


4. End-to-End Test Execution

Run E2E Tests:

# Run all E2E tests
pytest tests/e2e/ -v

# Run with specific browser (if web app)
pytest tests/e2e/ --browser=chrome
pytest tests/e2e/ --browser=firefox

# Run headless
pytest tests/e2e/ --headless

# Run with screenshots on failure
pytest tests/e2e/ --screenshot-on-failure

Deliverable: E2E test results


5. Parallel Test Execution

Run Tests in Parallel:

# Install pytest-xdist if not installed
pip install pytest-xdist

# Run with auto CPU detection
pytest tests/unit/ -n auto

# Run with specific number of workers
pytest tests/unit/ -n 4

# Run with load balancing
pytest tests/unit/ -n auto --dist=loadscope

# Run with worksteal for uneven test distribution
pytest tests/unit/ -n auto --dist=worksteal

Performance Optimization:

# Show slowest tests
pytest tests/unit/ --durations=10

# Show slowest 20 tests
pytest tests/unit/ --durations=20

# Profile test execution
pytest tests/unit/ --profile

# Run with timing
time pytest tests/unit/

Deliverable: Parallel execution metrics


6. Test Debugging

Debug Failing Tests:

# Show full diff on assertion failures
pytest tests/unit/ -vv

# Drop into debugger on failure
pytest tests/unit/ --pdb

# Drop into debugger on first failure
pytest tests/unit/ -x --pdb

# Show local variables in traceback
pytest tests/unit/ -l

# Show captured output on failure
pytest tests/unit/ --tb=short
pytest tests/unit/ --tb=long
pytest tests/unit/ --tb=native

Rerun Failed Tests:

# Rerun last failed tests
pytest tests/unit/ --lf

# Run failed first, then others
pytest tests/unit/ --ff

# Rerun failed tests with more verbosity
pytest tests/unit/ --lf -vv

# Clear cache and rerun
pytest tests/unit/ --cache-clear

Deliverable: Debug output and failure analysis


7. Test Reporting

Generate Test Reports:

# Generate JUnit XML report (for CI/CD)
pytest tests/ --junitxml=reports/junit.xml

# Generate HTML report
pip install pytest-html
pytest tests/ --html=reports/report.html --self-contained-html

# Generate JSON report
pip install pytest-json-report
pytest tests/ --json-report --json-report-file=reports/report.json

# Generate multiple reports
pytest tests/ \
  --junitxml=reports/junit.xml \
  --html=reports/report.html \
  --self-contained-html

Test Summary:

# Short summary
pytest tests/ -q

# Summary with reasons for skipped/failed tests
pytest tests/ -ra

# Summary for passed tests
pytest tests/ -rP

# Summary for failed tests
pytest tests/ -rf

# Summary for errors
pytest tests/ -rE

# Summary for all
pytest tests/ -rA

Deliverable: Test reports in multiple formats


8. CI/CD Integration

Run Tests in CI/CD Pipeline:

# Standard CI test run
pytest tests/ \
  --junitxml=reports/junit.xml \
  --cov=src \
  --cov-report=xml \
  --cov-report=html \
  -v

# With strict markers (fail on unknown markers)
pytest tests/ --strict-markers

# With warnings as errors
pytest tests/ -W error

# With maximum verbosity for CI logs
pytest tests/ -vv --tb=short

GitHub Actions Example:

# .github/workflows/test.yml
- name: Run tests
  run: |
    pytest tests/ \
      --junitxml=reports/junit.xml \
      --cov=src \
      --cov-report=xml \
      --cov-fail-under=80 \
      -v

Deliverable: CI/CD-ready test execution


Test Execution Patterns

Full Test Suite

# Complete test run with all checks
pytest tests/ \
  -v \
  --cov=src \
  --cov-report=html \
  --cov-report=term-missing \
  --junitxml=reports/junit.xml \
  --html=reports/report.html \
  --self-contained-html

Fast Feedback Loop

# Quick tests for development
pytest tests/unit/ \
  -x \
  --ff \
  --tb=short \
  -q

Pre-Commit Tests

# Run before committing changes
pytest tests/unit/ tests/integration/ \
  -v \
  --cov=src \
  --cov-fail-under=80

Nightly/Comprehensive Tests

# Full test suite including slow tests
pytest tests/ \
  -v \
  --cov=src \
  --cov-report=html \
  --durations=20 \
  --junitxml=reports/junit.xml

Test Configuration

pytest.ini Configuration

# pytest.ini
[pytest]
testpaths = tests
python_files = test_*.py *_test.py
python_classes = Test*
python_functions = test_*

# Markers
markers =
    slow: marks tests as slow (deselect with '-m "not slow"')
    integration: marks tests as integration tests
    e2e: marks tests as end-to-end tests
    smoke: marks tests as smoke tests

# Options
addopts =
    -v
    --strict-markers
    --tb=short
    --disable-warnings

# Coverage
[coverage:run]
source = src
omit = tests/*,*/__init__.py

[coverage:report]
exclude_lines =
    pragma: no cover
    def __repr__
    raise AssertionError
    raise NotImplementedError
    if __name__ == .__main__.:

pyproject.toml Configuration

# pyproject.toml
[tool.pytest.ini_options]
testpaths = ["tests"]
python_files = ["test_*.py", "*_test.py"]
addopts = [
    "-v",
    "--strict-markers",
    "--tb=short",
]
markers = [
    "slow: marks tests as slow",
    "integration: marks integration tests",
    "e2e: marks end-to-end tests",
]

[tool.coverage.run]
source = ["src"]
omit = ["tests/*", "*/__init__.py"]

[tool.coverage.report]
fail_under = 80
exclude_lines = [
    "pragma: no cover",
    "def __repr__",
    "raise NotImplementedError",
]

Test Execution Checklist

Pre-Execution

  • Virtual environment activated
  • Dependencies installed
  • Test database/services running (if needed)
  • Environment variables set
  • Previous test artifacts cleaned

Execution

  • Unit tests running and passing
  • Integration tests running and passing
  • E2E tests running and passing (if applicable)
  • No skipped tests (or justified)
  • No flaky tests detected

Post-Execution

  • All tests passed
  • Test reports generated
  • Coverage calculated (separate skill)
  • Performance metrics captured
  • Cleanup completed

Common Test Execution Commands

Quick Reference

# Fast unit tests
pytest tests/unit/ -x --ff -q

# All tests with coverage
pytest tests/ --cov=src --cov-report=term-missing

# CI/CD full run
pytest tests/ \
  --junitxml=reports/junit.xml \
  --cov=src \
  --cov-report=xml \
  --cov-fail-under=80 \
  -v

# Debug specific test
pytest tests/unit/test_feature.py::test_function -vv --pdb

# Parallel execution
pytest tests/unit/ -n auto

# Performance analysis
pytest tests/ --durations=10

# Rerun failures
pytest tests/ --lf -vv

Test Execution Troubleshooting

Tests Not Found

# Check test discovery
pytest --collect-only

# Verify pytest.ini configuration
cat pytest.ini

# Check file naming
ls tests/test_*.py

Import Errors

# Check PYTHONPATH
echo $PYTHONPATH

# Install package in development mode
pip install -e .

# Verify imports
python -c "import src.module"

Slow Tests

# Identify slow tests
pytest tests/ --durations=20

# Run in parallel
pytest tests/ -n auto

# Skip slow tests during development
pytest tests/ -m "not slow"

Flaky Tests

# Run tests multiple times
for i in {1..10}; do pytest tests/ || break; done

# Run in random order
pip install pytest-randomly
pytest tests/ --randomly-seed=1234

# Use pytest-rerunfailures
pip install pytest-rerunfailures
pytest tests/ --reruns 3

Integration with Test Runner Specialist

Input: Test execution request from specialist agent Process: Execute tests with appropriate configuration Output: Test results, execution logs, and metrics Next Step: Coverage analysis by coverage-analyzer skill


Test Execution Best Practices

Development

  • Run unit tests frequently (every few minutes)
  • Use -x --ff for fast feedback
  • Focus on relevant tests with -k pattern matching
  • Keep unit tests fast (< 1 minute total)

Pre-Commit

  • Run unit and integration tests
  • Verify coverage meets threshold
  • Check for flaky tests
  • Ensure all tests pass

CI/CD

  • Run full test suite
  • Generate reports for tracking
  • Fail on coverage below threshold
  • Run tests in parallel for speed
  • Archive test artifacts

Debugging

  • Use -vv for detailed output
  • Use --pdb to drop into debugger
  • Use -l to show local variables
  • Run single test in isolation

Supporting Resources

  • pytest documentation: https://docs.pytest.org
  • pytest-cov: Coverage plugin
  • pytest-xdist: Parallel execution plugin
  • pytest-html: HTML report generation

Success Metrics

  • All tests discovered and executed
  • Test execution time acceptable (unit < 1 min, full < 10 min)
  • Test reports generated successfully
  • No flaky tests detected
  • Tests pass consistently
  • Performance metrics captured

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

OpenCode

30.64%
按下载量换算33

Antigravity

20.43%
按下载量换算22

Claude Code

15.9%
按下载量换算17

Codex

11.77%
按下载量换算13

Gemini CLI

7.25%
按下载量换算8

github-copilot

3.49%
按下载量换算4

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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