An AI-powered utility that automatically generates complete unit test files, including imports, mocks, and assertions, from existing source code.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install test-case-generator
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install test-case-generator using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Test Case Generator is a robust automation tool designed to streamline the software testing lifecycle within the ecosystem of Openclaw Skills. By intelligently analyzing source code, the skill identifies function signatures, parameter types, and logical flows to produce fully functional test suites. This eliminates the tedious process of writing boilerplate test code manually, ensuring that your applications maintain high reliability and code quality.
Whether you are building complex backend logic in Python or interactive web components in JavaScript, this skill bridges the gap between feature development and quality assurance. It provides developers with ready-to-use test files that adhere to industry standards, making it a vital addition to any professional development environment leveraging Openclaw Skills.
To get started with the Test Case Generator, ensure your development environment has the necessary testing libraries installed for your specific language.
# For JavaScript/TypeScript projects
npm install --save-dev jest mocha
# For Python projects
pip install pytest
Once your environment is ready, you can invoke the skill directly through your AI agent configured with Openclaw Skills.
The Test Case Generator organizes its output into a structured format compatible with standard test runners. The following table describes the components of the generated data:
| Component | Description |
|---|---|
| Header | Automated imports of testing frameworks and the target source code. |
| Setup | Generation of mock data and environment variables required for the test. |
| Test Blocks | Structured suites (describe/it or def test_) covering various logic paths. |
| Assertions | Result validation using framework-specific syntax like expect().toBe(). |
Loading
A professional tool for analyzing and refining SQL queries to significantly enhance database execution speed and resource efficiency.

An automated security auditing tool that identifies critical code vulnerabilities and provides remediation advice within your development environment.

An intelligent utility that transforms natural language descriptions and text examples into production-ready regular expressions.

An advanced code analysis tool designed to identify performance bottlenecks, calculate algorithmic complexity, and provide actionable optimization suggestions.

A high-performance AI image generation skill leveraging the Zhipu AI CogView-4 model via a secure Bash interface.

A high-performance skill that enables AI agents to search the live web and retrieve real-time information via the Zhipu API.








































