Can I use this with languages other than Python?

While the examples are in Python/pytest, the skill's logic for analyzing branches and generating patterns is language-agnostic and uses standard file editing tools.

Does this skill support requirement traceability?

Yes, it specifically looks for REQ-ID and Business Rule (BR-*) identifiers to ensure that every generated test validates a specific project requirement.

What happens if a generated test fails?

If a generated test fails, it often indicates a bug in the implementation code rather than the test. You can then use Claude to fix the underlying code to match the expected requirement behavior.

How does this skill decide which tests to generate?

The skill analyzes uncovered line data provided by coverage sensors and examines the logic within those lines to determine if it needs to test an error path, a specific boundary, or a standard successful execution.

Automated Test Coverage Generator

Name: Automated Test Coverage Generator
Author: foolishimp

byfoolishimp

Security & Testing

Automatically generates comprehensive unit, edge, and boundary tests to resolve code coverage gaps and validate business requirements.

About

This skill functions as a homeostatic actuator for your development environment, designed to automatically bring code coverage up to your desired state (defaulting to 80%). By analyzing coverage reports and identifying uncovered code paths, it generates missing test cases that map directly to specific requirement IDs (REQ-*) and business rules. It handles the heavy lifting of creating happy paths, error cases, and boundary tests, ensuring your codebase remains robust and fully validated without the manual overhead of boilerplate test writing.

Key Features

Requirement-to-test traceability using REQ-ID mapping
Automatic coverage gap detection and resolution
Multi-pattern test generation (Happy Path, Edge, Error, Boundary)
Automated git commits with detailed test generation summaries
Self-verifying workflow that runs tests and re-checks coverage
0 GitHub stars

Use Cases

Closing coverage gaps identified by automated CI/CD sensors
Rapidly increasing the test surface of legacy codebases
Ensuring new features meet strict business rule validation requirements

About

Key Features

Requirement-to-test traceability using REQ-ID mapping
Automatic coverage gap detection and resolution
Multi-pattern test generation (Happy Path, Edge, Error, Boundary)
Automated git commits with detailed test generation summaries
Self-verifying workflow that runs tests and re-checks coverage
0 GitHub stars

Use Cases

Closing coverage gaps identified by automated CI/CD sensors
Rapidly increasing the test surface of legacy codebases
Ensuring new features meet strict business rule validation requirements