Which testing frameworks are supported?

The skill defaults to pytest but supports unittest, jest, vitest, and mocha by retrieving documentation from the Context7 KB cache.

Can it run tests in parallel?

Yes, it utilizes pytest-xdist for parallel execution, which can be 5-10x faster than sequential testing on multi-core systems.

How does it ensure test accuracy?

It follows a strict verification protocol that inspects actual response data and status codes rather than assuming success from error handlers.

Does it handle mocking for external APIs?

Absolutely. The skill follows best practices for mocking external dependencies to ensure tests remain isolated and reliable.

Automated Testing & QA

Name: Automated Testing & QA
Author: wtthornton

bywtthornton

Security & Testing

Generates and runs comprehensive test suites with automated coverage reporting and documentation-backed best practices.

About

The Tester skill transforms Claude into a senior QA engineer focused on the entire software testing lifecycle. It analyzes codebases to generate high-quality unit and integration tests, executes them via pytest, and provides detailed coverage reporting. By integrating with the Context7 KB cache, the skill ensures all generated tests adhere to official framework documentation and modern best practices, helping developers maintain reliable, well-tested code with minimal manual effort.

Key Features

0 GitHub stars
Parallel test execution for high-performance CI/CD workflows
Context7 KB integration for verified test framework documentation
Real-time test execution and coverage reporting using pytest
Automated generation of unit and integration tests from code analysis
Intelligent mocking of external dependencies and services

Use Cases

Generating comprehensive test suites for new Python functions and modules
Refactoring legacy code by ensuring 80%+ test coverage
Verifying API endpoint reliability through automated integration testing

About

Key Features

0 GitHub stars
Parallel test execution for high-performance CI/CD workflows
Context7 KB integration for verified test framework documentation
Real-time test execution and coverage reporting using pytest
Automated generation of unit and integration tests from code analysis
Intelligent mocking of external dependencies and services

Use Cases

Generating comprehensive test suites for new Python functions and modules
Refactoring legacy code by ensuring 80%+ test coverage
Verifying API endpoint reliability through automated integration testing