Which programming languages are supported?

It supports major languages including JavaScript, TypeScript, Python, Java, Go, and Ruby, along with their respective standard testing frameworks like Jest, pytest, and JUnit.

Can it identify edge cases automatically?

Yes, the skill analyzes code to identify boundary values, null/undefined inputs, and potential error conditions to provide comprehensive coverage beyond the happy path.

Does it follow standard testing patterns?

Absolutely. The generated code follows the Arrange-Act-Assert (AAA) pattern and includes proper setup/teardown logic to maintain test independence.

Does it handle external dependencies?

Yes, the skill automatically generates mock implementations for databases, HTTP requests, file systems, and environment variables to ensure test isolation.

How do I trigger the unit test generation?

You can use natural language triggers such as 'generate unit tests', 'create tests for', or 'add test coverage' followed by the file or function name.

Unit Test Generator

Name: Unit Test Generator
Author: BbgnsurfTech

byBbgnsurfTech

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보안 및 테스팅

Generates comprehensive unit tests across multiple languages and frameworks to ensure code reliability and coverage.

소개

The Unit Test Generator skill empowers developers to automate the creation of robust test suites by analyzing source code to identify critical paths, edge cases, and error conditions. It supports a wide array of popular testing frameworks including Jest, pytest, and JUnit, providing boilerplate code, mock implementations for external dependencies, and clear test structures that follow industry best practices like the Arrange-Act-Assert pattern. This skill is ideal for rapidly increasing code coverage and ensuring that new or existing modules are resilient to failures.

주요 기능

Built-in mocking for external APIs, databases, and file systems
1 GitHub stars
Automated happy path and edge case generation
Language-agnostic analysis of functions, classes, and modules
Detailed test coverage for branches, errors, and boundary values
Support for major frameworks including Jest, pytest, JUnit, and RSpec

사용 사례

Scaffolding unit tests for new features during active development
Adding test coverage to legacy codebases without existing tests
Generating complex mocks for external dependencies and third-party services

소개

주요 기능

Built-in mocking for external APIs, databases, and file systems
1 GitHub stars
Automated happy path and edge case generation
Language-agnostic analysis of functions, classes, and modules
Detailed test coverage for branches, errors, and boundary values
Support for major frameworks including Jest, pytest, JUnit, and RSpec

사용 사례

Scaffolding unit tests for new features during active development
Adding test coverage to legacy codebases without existing tests
Generating complex mocks for external dependencies and third-party services