How does the Context7 integration improve test generation?

Context7 provides a high-speed documentation cache that allows the skill to verify syntax, fixtures, and patterns against official framework docs before generating code.

What is the default coverage target for the Tester skill?

The skill follows a quality standard that targets 80% or higher code coverage for all generated test suites.

Which testing frameworks are supported by this skill?

The Tester skill primarily supports pytest and unittest for Python, as well as jest, vitest, and mocha for JavaScript/TypeScript environments.

Can this skill run existing tests or only generate new ones?

It can do both. Use the *run-tests command to execute existing suites or the *test command to generate and run new tests for a specific file.

Does the skill handle mocking and edge cases?

Yes, the skill is configured to identify external dependencies for mocking and specifically targets edge cases and error handling to ensure robust code quality.

Claude Code Tester

Name: Claude Code Tester
Author: wtthornton

bywtthornton

•

Security & Testing

Generates and executes comprehensive unit and integration test suites with integrated framework documentation lookup.

About

The Tester skill empowers Claude to act as a senior QA engineer, specializing in the creation of production-grade test suites for Python and JavaScript projects. It leverages the Context7 KB cache to fetch real-time documentation for frameworks like pytest, ensuring all generated tests follow the most current best practices and Arrange-Act-Assert patterns. Whether you need to increase code coverage, mock complex external dependencies, or run automated regression tests, this skill provides the tools to maintain high reliability and code quality in any development environment.

Key Features

Automated unit and integration test generation from source code analysis
Real-time test framework documentation lookup via Context7 KB integration
Execution of pytest suites with detailed coverage reporting
Standardized test patterns including Arrange-Act-Assert and descriptive naming
Intelligent mocking of external dependencies for isolated test environments
3 GitHub stars

Use Cases

Increasing code coverage to 80%+ for legacy repositories
Generating comprehensive test suites for new Python services or API modules
Referencing up-to-date pytest fixture and mock documentation during development

About

Key Features

Automated unit and integration test generation from source code analysis
Real-time test framework documentation lookup via Context7 KB integration
Execution of pytest suites with detailed coverage reporting
Standardized test patterns including Arrange-Act-Assert and descriptive naming
Intelligent mocking of external dependencies for isolated test environments
3 GitHub stars

Use Cases

Increasing code coverage to 80%+ for legacy repositories
Generating comprehensive test suites for new Python services or API modules
Referencing up-to-date pytest fixture and mock documentation during development