golang-testing

Teach Go developers table-driven tests, subtests, benchmarks, and fuzzing.

Updated Apr 12, 2026
One-click install
npx skills add https://github.com/EvilBit-Labs/opnConfigGenerator --skill golang-testing-evilbit-labs
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: golang-testing
Source: https://github.com/EvilBit-Labs/opnConfigGenerator/tree/main/.claude/skills/golang-testing
Command: npx skills add https://github.com/EvilBit-Labs/opnConfigGenerator --skill golang-testing-evilbit-labs

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Streamline and standardize Go testing by combining table-driven tests, subtests, benchmarks, fuzzing, and comprehensive coverage into a practical, idiomatic workflow.

Core Features & Use Cases

  • Table-driven tests for scalable and readable input coverage
  • Subtests and parallel tests to accelerate large suites
  • Benchmarks to measure and optimize performance
  • Fuzzing guidance to validate input robustness
  • Test coverage practices aligned with Go tooling and workflows

Quick Start

Run the example tests in your Go project to start adopting table-driven patterns and extend to benchmarks, fuzzing, and coverage as you grow.

Frequently Asked Questions about golang-testing

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I write table-driven tests in Go to cover multiple inputs?

Go subtests use the t.Run function to create isolated test cases within a parent test, allowing targeted execution and parallel runs. This structure accelerates large suites by running independent tests concurrently and improving failure granularity.

How do I measure performance with benchmarks in my Go project?

Go benchmarks measure performance using benchmark blocks with the testing.B type to repeatedly execute code and report allocation metrics. This identifies optimization opportunities and validates performance improvements across test scenarios.

What is fuzzing in Go and how do I validate input robustness?

Fuzzing in Go uses testing.F to automatically generate random inputs and validate input robustness by exposing edge cases and panics. This technique ensures code handles unexpected data safely without manual test case generation.

Can I use go test tooling for test coverage in medium-to-large Go projects?

The go test tooling supports test coverage analysis natively, generating detailed reports for medium-to-large Go projects. Aligning coverage practices with standard tooling ensures repeatable, fast, and maintainable workflows across unit and integration tests.

Does TDD workflow integrate with subtests and parallel tests in Go?

TDD workflows integrate seamlessly with subtests and parallel tests in Go, using t.Run to structure failures and accelerate large suites. This combination supports repeatable, fast development cycles while maintaining comprehensive functional coverage.