Clean Room QA Skill

Generate black-box tests from function signatures and domain physics principles.

Updated Mar 13, 2026
One-click install
npx skills add https://github.com/Totes-MickGOATs/r8eo-x-unity --skill clean-room-qa-skill
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: Clean Room QA Skill
Source: https://github.com/Totes-MickGOATs/r8eo-x-unity/tree/main/.agents/skills/clean-room-qa
Command: npx skills add https://github.com/Totes-MickGOATs/r8eo-x-unity --skill clean-room-qa-skill

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill ensures code correctness by writing tests based solely on function signatures and domain physics, preventing bias from implementation knowledge.

Core Features & Use Cases

  • Black-Box Testing: Generates tests without looking at code implementation.
  • Physics-Based Validation: Verifies math and physics logic against first principles.
  • Use Case: When porting complex physics code from one engine to another, this skill can independently verify that the core mathematical behaviors remain consistent, regardless of the underlying implementation details.

Quick Start

Use the clean room QA skill to audit the 'VehiclePhysics' system.

Frequently Asked Questions about Clean Room QA Skill

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

FAQPage Schema
How do I perform black-box QA testing on physics code without being biased by the implementation?

Black-box QA testing derives test cases solely from function signatures and domain physics principles, strictly separating test-writing from implementation knowledge to prevent bias and objectively validate code correctness.

Can I validate mathematical correctness when porting physics systems between different engines?

Yes, physics-based validation independently verifies that core mathematical behaviors remain consistent when porting complex physics code between engines, ensuring mathematical correctness regardless of underlying implementation details.

What is clean-room testing and when do I need it for auditing unfamiliar code?

Clean-room testing generates independent validation tests based on first principles and function signatures, needed when auditing unfamiliar code to verify mathematical or physical correctness without accessing the original implementation logic.

How do I generate test cases from function signatures for physics validation?

Generate test cases by analyzing function signatures and applying domain physics principles to derive expected mathematical outcomes, maintaining strict separation from implementation knowledge to ensure objective system validation.

Does black-box validation work for auditing complex mathematical logic in unfamiliar systems?

Black-box validation works for auditing unfamiliar systems by deriving tests from function signatures and domain physics principles, verifying mathematical correctness through first principles without requiring access to internal implementation details.

Are there limitations to using first principles validation for physics code testing?

First principles validation requires strict adherence to separation from implementation knowledge, meaning testers must avoid accessing internal code logic, which may limit validation scope to observable mathematical behaviors and function signature outputs.