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Agent Skill · 研究检索

test-executor(测试执行者)

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-executor 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 63,891。

总安装 309周安装 13GitHub Stars 21下载 108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-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

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。

来源仓库内路径:skills/test-executor

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/matteocervelli/llms --skill test-executor;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-executor 怎么安装?

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

test-executor 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-executor 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-executor 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-executor 用的人多吗?

公开数据是累计安装 309 次,近一周安装 13 次,下载 108 次,GitHub 21 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-executor 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-executor

测试执行者 · 本页

30921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 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

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。

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