testing-standards

Standardize unit, integration, property-based, and E2E testing practices across JavaScript, Python, and Go projects.

Updated Feb 1, 2026
One-click install
npx skills add https://github.com/jralph/.config-opencode --skill testing-standards-jralph
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: testing-standards
Source: https://github.com/jralph/.config-opencode/tree/main/skills/testing-standards
Command: npx skills add https://github.com/jralph/.config-opencode --skill testing-standards-jralph

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Solves inconsistent testing practices by standardizing testing standards across codebases.

Core Features & Use Cases

  • Guidelines & conventions: Defines testing structure, naming, and documentation to ensure uniformity.
  • Test-type coverage: Provides guidance for unit, integration, property-based, and E2E testing across languages.
  • Quality assurance: Aligns teams on coverage targets, tooling recommendations, and reporting to improve reliability.

Quick Start

Start by aligning your project with the testing standards doc, install recommended libraries, and organize tests according to the prescribed structure.

Frequently Asked Questions about testing-standards

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

FAQPage Schema
How do I standardize testing practices across multiple codebases?

Standardizing testing practices involves defining test structure, naming conventions, and coverage targets across your codebases. This approach ensures consistency across unit, integration, property-based, and E2E tests in JavaScript, Python, and Go projects.

What testing types should I include for comprehensive quality assurance?

For comprehensive quality assurance, include unit, integration, property-based, and E2E testing. These testing types validate individual components and system interactions, ensuring reliable coverage across your JavaScript, Python, and Go projects.

Does this testing standards guidance work with Python and Go projects?

Yes, the testing standards guidance applies to Python and Go projects alongside JavaScript. It provides tooling recommendations and structural conventions tailored to ensure reliable testing across these three languages.

How do I set up property-based testing within my existing test structure?

To set up property-based testing, align your project with the prescribed testing structure and install recommended tooling. This integrates property-based testing alongside unit and integration tests to validate code behavior against generated inputs.

What code coverage targets should my team align on for E2E testing?

Your team should align on specific coverage targets defined by the testing standards documentation. Aligning on these reporting metrics ensures your E2E testing reliably validates critical user flows while maintaining consistent quality assurance.

When should I not use property-based testing in my testing strategy?

The metadata does not specify exact scenarios to avoid property-based testing, but it recommends aligning test types with your overall coverage targets and tooling recommendations to ensure reliable test outcomes across your codebases.