An AI-driven tool that analyzes code coverage gaps and generates targeted unit tests to improve software reliability.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install ai-coverage-boost
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 ai-coverage-boost 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 Coverage Boost?
Coverage Boost is a powerful utility within the Openclaw Skills ecosystem designed to eliminate the manual toil of writing unit tests for legacy code or complex new features. By analyzing your existing source files and coverage reports, it intelligently identifies logic branches that haven't been exercised by your current test suite. It then leverages AI to generate high-quality, framework-specific tests that ensure your application meets strict quality standards and coverage goals.
This tool is particularly useful for teams aiming to reach specific coverage benchmarks without spending hours manually mapping out every possible edge case. By using Openclaw Skills like this one, developers can focus on building features while ensuring their codebase remains robust and well-tested.
Coverage Boost Use Cases
- Meeting strict code coverage requirements for pull requests or release cycles.
- Backfilling tests for legacy utility functions and complex business logic.
- Discovering missed edge cases and error handling scenarios in production code.
- Accelerating the development of robust test suites using Openclaw Skills for automated generation.
How Coverage Boost Works
- The tool scans the target file or directory and cross-references existing coverage reports if available.
- It identifies specific lines, branches, and functions that are currently uncovered in your project.
- The AI engine analyzes the logic and inputs required to trigger those specific uncovered code paths.
- It generates complete, runnable test files optimized for your chosen testing framework (e.g., Jest).
- Developers review the generated output and integrate it into their existing test suite via Openclaw Skills workflows.
Coverage Boost Setup
Ensure you have Node.js 18 or higher installed. You will also need a valid OpenAI API key configured in your environment.
# Export your API key
export OPENAI_API_KEY='your_api_key_here'
# Run the tool on a specific file to boost coverage
npx ai-coverage-boost ./src/utils/helpers.ts
Coverage Boost Data Schema & Taxonomy
| Component | Description |
|---|---|
| Source Code | JavaScript or TypeScript files used as input for analysis. |
| API Requirements | Uses an OPENAI_API_KEY to power the generation logic. |
| Generated Output | New test files (.test.ts or .spec.ts) targeting uncovered paths. |
| Target Frameworks | Currently supports Jest and other popular Node.js testing libraries. |
Coverage Boost Advanced Features
- Granular targeting of specific functions using the --function flag.
- Automated identification of boundary conditions and missed error-handling blocks.
- Support for multiple testing frameworks to fit various Openclaw Skills environments.
- Intelligent edge case generation that goes beyond simple happy-path testing.
SKILL.md
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