nw-hexagonal-testing

Validate agent outputs across five hexagonal testing layers.

Updated Apr 15, 2026
One-click install
npx skills add https://github.com/StudentCristian/nWave-github --skill nw-hexagonal-testing
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: nw-hexagonal-testing
Source: https://github.com/StudentCristian/nWave-github/tree/main/.github/skills/nw-hexagonal-testing
Command: npx skills add https://github.com/StudentCristian/nWave-github --skill nw-hexagonal-testing

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

The 5-layer hexagonal testing framework provides a structured approach to validating agent outputs across unit, integration, and adversarial perspectives, ensuring reliable handoffs and contract compliance.

Core Features & Use Cases

  • Layered validation: unit, integration, and adversarial checks with explicit success criteria.
  • Handoff validation: ensures next agents can proceed without re-elicitation.
  • Test doubles policy: guidance on consistent mock/real components and data contracts.

Quick Start

Use nw-hexagonal-testing to validate an agent's outputs against the 5-layer contract.

Frequently Asked Questions about nw-hexagonal-testing

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

FAQPage Schema
What is a 5-layer hexagonal testing framework for agent output validation?

Hexagonal testing is a structured validation approach that checks AI agent outputs across unit, integration, and adversarial layers. It enforces a defined I/O contract and clear handoff criteria, ensuring next agents can proceed without re-elicitation.

How do I validate AI agent outputs for reliable handoffs in a software team?

You can validate agent outputs by applying a layered hexagonal testing framework. This approach performs unit, integration, and adversarial checks with explicit success criteria to ensure next agents receive contract-compliant data without re-elicitation.

Can I use a test doubles policy with mock and real components for integration testing?

Yes, the framework provides explicit test doubles policy guidance for consistent use of mock and real components. It ensures data contracts are maintained across unit and integration validation layers with clear handoff criteria.

What is the best way to structure adversarial output validation for AI agents?

The best way to structure adversarial validation is using a vertical slice development approach with a 5-layer hexagonal testing framework. This ensures defined I/O contracts, layered validation rules, and explicit policy guidance for reliable outputs.

Does TDD methodology work with layered hexagonal validation rules?

Yes, TDD methodology aligns with the 5-layer hexagonal validation framework by enforcing a defined I/O contract and layered validation rules. This combination supports vertical slice development with explicit test doubles policy and clear handoff criteria.