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automation-testing-protocol自动化测试协议

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

3,672

周安装

150

GitHub Stars

1

下载量

1,188
OpenClaw

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

2

许可证

MIT-0

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:automation-testing-protocol(自动化测试协议)
来源仓库:https://github.com/vetmomen/automation-testing-protocol
安装命令:
openclaw skills install automation-testing-protocol
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。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install automation-testing-protocol

简介

提供综合框架用于测试自动化项目的稳定性、安全性与可扩展性验证。

  • 适用于 OpenClaw 中需要标准化测试规范的复杂系统交付场景。
  • 包含检查清单、测试用例模板与部署验证步骤。
  • 部分检查项可能涉及敏感配置扫描,需授权后方可运行。
  • 建议根据项目特点裁剪检查范围以提高效率。automation-testing-protocol 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

name
Automation Quality Assurance & Testing Protocol
id
automation-qa-testing
version
1.1.0
description
A comprehensive framework for testing and validating automation projects to ensure stability, security, and scalability.
author
Moamen Mohamed

Automation Quality Assurance & Testing Protocol

This skill is the primary authority for testing any automation project within the OpenClaw environment. It ensures operational stability, prevents regressions, and maintains high-quality standards across all automated workflows.


Agent: How to Use This Skill

Read this protocol fully before modifying or deploying any automation script. Follow the steps sequentially.

1. Comprehensive Automation Testing Strategy

To ensure a robust automation, every project must pass through these 6 critical testing layers:

  • Layer 1: Unit Testing (Logic) - Test individual functions, mathematical calculations, and internal logic branches in isolation.
  • Layer 4: Idempotency & Recovery - Ensure that if a script fails and restarts, it does not produce side effects (e.g., no duplicate emails or redundant API calls). The script must be "Safe to Restart."
  • Layer 2: Integration Testing (Connectors) - Verify successful communication with external services (Meta API, Google Sheets, SMTP, etc.) using real or sandbox credentials.
  • Layer 3: End-to-End (E2E) Flow - Simulate a complete lifecycle of the automation (e.g., Budget Breach -> Pause -> Notify) to ensure the entire chain works.
  • Layer 5: Regression Testing - Always run the full run_tests.py suite after any change to confirm that existing features remain functional.
  • Layer 6: Observability & Logging Verification - Confirm that the script produces clear, actionable logs for every step, especially during failures, to ensure "blind spots" are eliminated.

2. Execution Protocol

Do find and execute tests before and after every modification:

  1. Discover: Always look for run_tests.py or a tests/ directory within the project root.
  2. Execute:
   python3 path/to/project/run_tests.py
  1. Initialize: If the project lacks tests, you are mandated to create a run_tests.py file implementing the 6 layers above.

3. Standard Exit Criteria (Definition of Done)

A task is considered "Complete" only when:

  • 100% Pass Rate: All 6 testing layers pass without errors.
  • Timezone Uniformity: All timestamps and scheduling are synchronized to the environment's local time (e.g., Africa/Cairo).
  • Security Compliance: Zero hardcoded secrets. All tokens and passwords must be isolated in .env or config files.
  • Failure Resilience: The script handles API timeouts and connection drops gracefully without crashing.
  • Documentation: The code is clean, commented, and includes a brief explanation of any new test cases added.

Maintenance & Scalability

  • The Test Suite must grow with the project. Every new feature requires a corresponding test case.
  • Any project without a functional run_tests.py is considered "Substandard" and must be fixed immediately.

适合场景

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02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

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

OpenClaw

92.54%
按下载量换算1,099

安全审计

VirusTotal

通过

ClawScan

可疑

Static analysis

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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