How do I specify a target coverage percentage?

You can use the --coverage argument (e.g., /bkff:gentests --file=src/ --coverage=90) to guide the AI in generating sufficient test cases to reach that goal.

Will it overwrite my existing tests?

No. When using the --update=true flag, the skill specifically analyzes coverage gaps and adds new test cases while preserving and maintaining the style of your existing tests.

Does it support shell script testing?

Yes, it has native support for Bash testing using the bats and shunit2 frameworks, including boilerplate for test helpers and assertions.

What languages does the gentests skill support?

It supports a wide range of languages including Bash (.sh, .bash), Python (.py), JavaScript (.js, .mjs), TypeScript (.ts, .tsx), Go, Rust, Java, and Ruby.

Can it detect my testing framework automatically?

Yes, it inspects project files like package.json, pyproject.toml, and Cargo.toml, as well as existing test file patterns, to select the correct framework.

AI Unit Test Generator

Name: AI Unit Test Generator
Author: kbrockhoff

bykbrockhoff

0•

Security & Testing

Generates comprehensive unit tests for multiple programming languages by analyzing code structure and project requirements.

The gentests skill automates the creation of robust unit tests for your codebase, supporting a wide array of languages including Python, TypeScript, Go, and Bash. By analyzing source files and project configurations, it intelligently detects the appropriate testing framework and generates test cases that cover edge cases, error handling, and specific acceptance criteria. Whether you're starting a new module or filling coverage gaps in existing files using the update flag, this tool ensures your code meets high-quality standards with minimal manual effort by matching your project's specific style and patterns.

Key Features

01Smart update mode to fill coverage gaps while preserving existing test cases

020 GitHub stars

03Automatic framework detection via project configuration analysis (e.g., package.json, pyproject.toml)

04Multi-language support for Python, JS/TS, Go, Rust, Java, Ruby, and Bash

05Configurable target coverage percentages to meet organizational quality benchmarks

06Structure-aware generation that maps tests to functions, exports, and logic paths

Use Cases

01Standardizing testing patterns across polyglot projects using AI-driven best practices

02Generating full test suites for newly implemented features and services

03Increasing test coverage for legacy codebases by identifying and testing uncovered paths

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add kbrockhoff/brockhoff-tools-claude gentests

For use in Claude.ai and ChatGPT

Download Skill