A comprehensive automation toolkit for controlling WeChat DevTools to perform UI testing, navigation, and log analysis.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install weapp-automated-testing
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install weapp-automated-testing using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is WeChat Mini Program Automation Testing?
The WeChat Mini Program Automation Testing toolkit is a specialized integration designed to streamline the quality assurance process for mini program developers. By leveraging Openclaw Skills, this tool provides a programmatic interface to WeChat DevTools, enabling developers to simulate user interactions and verify application behavior without manual intervention. It focuses on high-efficiency batch execution to minimize the overhead typically associated with automation CLI calls.
This extension for Openclaw Skills allows for deep introspection of the mini program environment, including page data extraction, WXML structure analysis, and performance metric collection. Whether you are performing routine smoke tests or complex user journey simulations, this toolkit ensures your mini program remains stable and performant across updates.
WeChat Mini Program Automation Testing Use Cases
- Automating end-to-end user journeys to ensure critical business flows remain functional.
- Performing visual regression testing by automatically capturing and comparing UI screenshots.
- Conducting mass navigation tests to verify deep links and page routing integrity.
- Debugging production issues by programmatically reading and analyzing console logs from the mini program environment.
How WeChat Mini Program Automation Testing Works
- Configure the connection by specifying the project path and the WebSocket endpoint for WeChat DevTools.
- Define a sequence of actions using the chainable WeappTestRunner class to minimize execution latency.
- Execute a single Python script that batches all planned operations such as navigation, clicks, and inputs.
- Capture real-time data including screenshots, DOM structures, and performance logs during execution.
- Review the generated summary dictionary and detailed result list to identify any failures or regressions.
WeChat Mini Program Automation Testing Setup
To get started with this skill, ensure you have the necessary environment configured:
npm install -g miniprogram-automator
- Open WeChat DevTools and navigate to Settings > Security Settings.
- Enable the Service Port option to allow external control.
- Import your mini program project into DevTools.
- Note the CLI path for your operating system (Applications folder on macOS or Program Files on Windows).
WeChat Mini Program Automation Testing Data Schema & Taxonomy
The skill utilizes a structured approach to manage automation metadata and execution results:
| Component | Type | Description |
|---|---|---|
| AutomationConfig | Object | Contains the project path, WS endpoint, and environment settings. |
| WeappTestRunner | Class | A stateful runner that queues and executes automation steps. |
| Result Set | Array | A collection of outputs from each operation, including file paths for screenshots. |
| Performance Data | JSON | Detailed metrics regarding resource usage and execution timing. |
| Summary | Object | A high-level pass/fail report of the entire test batch. |
WeChat Mini Program Automation Testing Advanced Features
- Multi-step operation chaining via WeappTestRunner to significantly reduce execution overhead.
- Automated console log monitoring with built-in analysis for error detection.
- PerformanceMonitor integration for collecting runtime health metrics of the mini program.
- Pre-defined TestScenarios for common testing patterns like navigation flows and form submissions.
- Support for custom WXML extraction to verify dynamic content rendering.
SKILL.md
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