value-guardian

Enforce hierarchical ethics and epistemic checks for AI agents in multi-agent environments.

2|Updated Mar 6, 2026
One-click install
npx skills add https://github.com/angrysky56/agent-group-evolving-molecular-system-AGEM --skill value-guardian
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: value-guardian
Source: https://github.com/angrysky56/agent-group-evolving-molecular-system-AGEM/tree/main/skills/value-guardian
Command: npx skills add https://github.com/angrysky56/agent-group-evolving-molecular-system-AGEM --skill value-guardian

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

The Value Guardian provides a rigorous ethics framework for AI governance by encoding deontological, virtue, and utilitarian constraints, along with epistemic safeguards, to prevent harmful or unethical actions.

Core Features & Use Cases

  • Three-tier ethics: Deontological (absolute constraints), Virtue-based priorities, and Utility-based optimization within those constraints.
  • Omega axioms & Paraclete Protocol: Implements Omega1–Omega4 axioms and a safety escalation workflow to handle contested actions.
  • Drift detection & value-kernel integration: Uses sheaf-based tracking to detect value drift and coordinate ethical judgments across agents.
  • Use Case: Deploying VK-enabled agents in multi-agent teams to prevent harm, ensure transparency, and support auditing of decisions.

Quick Start

Load the ethics framework and initialize the value-guardian agent to begin guarding decisions.

Frequently Asked Questions about value-guardian

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

FAQPage Schema
How do I enforce ethical constraints in a multi-agent AI system?

You enforce ethical constraints by applying a hierarchical framework combining deontological absolute constraints, virtue-based priorities, and utility-based optimization to prevent harmful actions and ensure decision transparency across agents.

What is value drift detection in AI governance?

Value drift detection is a mechanism that uses sheaf-based tracking to monitor and detect deviations in ethical judgments across multi-agent environments, ensuring agents maintain alignment with core value kernels over time.

How do I coordinate ethical governance for autonomous agents?

You coordinate ethical governance by initializing a framework that enforces hierarchical ethics and epistemic checks, applying safety escalation workflows like the Paraclete Protocol to handle contested actions and dilemmas in multi-agent deployments.

Can I use Omega axioms for AI risk assessment?

Yes, you can use Omega axioms for AI risk assessment by implementing Omega1 through Omega4 axioms, which provide rigorous epistemic safeguards and structured safety escalation workflows to evaluate contested actions and prevent harm.

What are the limitations of hierarchical ethics frameworks for AI?

Hierarchical ethics frameworks require strict adherence to axiomatic constraints and continuous sheaf-based consistency enforcement, meaning they depend heavily on accurate value-kernel initialization and may face scalability challenges in highly complex multi-agent environments.