scbe-9d-state-engine

Construct and evolve 9-element governance state vectors for SCBE-AETHERMOORE decisions.

6|1|Updated Jan 17, 2026
One-click install
npx skills add https://github.com/issdandavis/SCBE-AETHERMOORE --skill scbe-9d-state-engine
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: scbe-9d-state-engine
Source: https://github.com/issdandavis/SCBE-AETHERMOORE/tree/main/.claude/skills/scbe-9d-state-engine
Command: npx skills add https://github.com/issdandavis/SCBE-AETHERMOORE --skill scbe-9d-state-engine

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Governance systems rely on a structured, evolving representation of the decision context, and this skill provides a ready-to-use 9-dimensional state vector framework to feed the governance gate.

Core Features & Use Cases

  • 9D state vector assembly: builds xi = [c(t), tau(t), eta(t), q(t)] with clear component semantics.
  • Dynamic evolution: applies time, entropy, and quantum evolution to maintain an up-to-date governance state.
  • Integration-ready: outputs a ready-to-use structure for immediate governance evaluations.

Quick Start

Initialize the 9D state by computing the 6D context from the current time and then evolve tau(t), eta(t), and q(t) to produce the 9-element xi vector for governance evaluation.

Frequently Asked Questions about scbe-9d-state-engine

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

FAQPage Schema
What is a governance state vector and when do I need one?

A governance state vector is a structured representation of the decision context needed to feed governance gates. You need this 9D state vector framework when constructing context vectors or preparing state data for deterministic governance evaluations.

How do I build a 9D state vector for governance evaluation?

To build the 9D state vector, initialize by computing the 6D context from the current time, then evolve the time, entropy, and quantum dimensions to produce the 9-element vector for governance evaluation.

How does time, entropy, and quantum evolution apply to governance state modeling?

Time, entropy, and quantum evolution apply dynamic updates to the state vector, maintaining an up-to-date governance state through explicit evolution equations that ensure deterministic state construction.

Can I use this state vector framework without external dependencies?

Yes, you can use this framework without external dependencies. It operates standalone to assemble the context, time, entropy, and quantum components into a ready-to-use 9-element vector for downstream evaluation.

What's the best way to model quantum dimensions in a governance decision context?

The best way to model quantum dimensions is applying explicit evolution equations to assemble the quantum component alongside time and entropy, producing a standardized 9-element vector for governance gates.

What limitations exist when evolving a multi-dimensional state vector for governance?

Limitations include the dependency on deterministic state construction and explicit evolution equations, meaning the framework requires accurate initial context computation to correctly evolve the 9D vector for governance evaluation.