Auto-Test is an intelligent utility that analyzes code logic to automatically generate comprehensive unit tests and coverage reports across multiple programming languages.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install auto-test
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 auto-test 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 Auto-Test?
Auto-Test is a powerful tool within the Openclaw Skills ecosystem designed to automate the tedious process of writing unit tests. By performing deep analysis of functions, classes, and methods, it identifies logical paths and edge cases to produce high-quality test suites for Python, Java, JavaScript, and more.
This skill helps engineering teams maintain high code quality and reliability by ensuring that new features and legacy codebases alike are backed by robust assertions. Whether you are working with pytest, JUnit, or Jest, Auto-Test integrates seamlessly into your development environment to reduce manual testing overhead.
Auto-Test Use Cases
- Rapidly generating unit tests immediately after developing new features.
- Improving test coverage for legacy codebases that lack existing suites.
- Ensuring functional consistency and preventing regressions during major code refactoring.
- Providing verifiable testing evidence and documentation during the code review process.
How Auto-Test Works
- Code Analysis: The tool parses the Abstract Syntax Tree (AST) to identify functions, classes, and method signatures.
- Logic Extraction: It analyzes inputs, outputs, side effects, and potential exception triggers within the code.
- Test Generation: Based on the extracted logic, it writes test cases tailored to the specific requirements of the chosen testing framework.
- Coverage Calculation: The skill executes the generated tests and integrates with tools like pytest-cov or Istanbul to produce coverage reports.
- Result Output: Finalized test files are saved to the designated directory along with a summary of the generation process.
Auto-Test Setup
To get started with this component of Openclaw Skills, use the following commands:
# Analyze project and generate tests using pytest
python3 scripts/generate-tests.py --path /path/to/project --framework pytest
# Generate tests with a comprehensive coverage report
python3 scripts/generate-tests.py --path . --coverage --output coverage.html
# Preview the generation logic without writing files
python3 scripts/generate-tests.py --path . --dry-run
Auto-Test Data Schema & Taxonomy
Auto-Test organizes generated artifacts and metadata according to the following structure:
| Parameter | Description | Default |
|---|---|---|
--path |
Target project directory path | . |
--framework |
Target testing framework (e.g., pytest, JUnit, Jest) | pytest |
--coverage |
Boolean flag to trigger coverage report generation | false |
--output |
Directory or file path for saved test results | ./tests/ |
--exclude |
Directories to ignore during analysis | node_modules,vendor,target |
Supported Ecosystems
- Python: pytest, unittest
- Java: JUnit 4/5, TestNG
- JavaScript/TypeScript: Jest, Vitest, Mocha
- Go: testing
- Rust: cargo test
Auto-Test Advanced Features
- Support for automatic boundary condition testing and exception handling scenarios.
- Integration with pre-commit hooks to automate test generation before code is committed.
- CI/CD pipeline compatibility to enforce test coverage requirements for all new pull requests.
- Dry-run mode for previewing generated assertions to prevent overwriting manual test cases.
- Native support for generated test documentation and assertion explanations.
SKILL.md
Loading
Related Openclaw Skills
Packaging Optimization
A comprehensive toolkit for standardizing packaging optimization through actionable SOPs, compliance checks, and data-driven monitoring.
OpenAI Whisper (CLI)
A local, high-performance speech-to-text tool that transcribes and translates audio files without requiring an internet connection or API keys.
One Detail Reads Person Video Generator
An automated video generation skill that transforms psychological cues into high-engagement vertical shorts with timed English captions and thematic B-roll.
Easy CI/CD
A streamlined automation skill designed to build fast, minimal CI/CD scaffolding around small projects without enterprise complexity.
JS Design Hot Trend
A specialized automation tool for extracting structured data, component annotations, and asset summaries from public JS Design project links.
Khan Tutor
A sophisticated pedagogical engine that transforms AI into a Socratic tutor using Khan Academy's curriculum scaffolding and teaching principles.
Featured*
