value-convergence-guard

What problem does it solve?

This skill automates ongoing checks to ensure an AI system's outputs remain aligned with its intended values, surfacing drift early before consequential misalignment occurs.

Core Features & Use Cases

• Operates as a persistent alignment guard that runs between formal audits, detecting drift in real-time.
• Translates abstract values into observable signals, early warning signals, and hard divergence indicators for concrete monitoring.
• Provides a structured framework (operationalization, divergence signals, and monitoring configuration) that integrates with existing audit cycles like emergent-value-audit and utility-drift-detector.
• Supports configurable monitoring frequency, sample strategies, escalation thresholds, and ownership for ongoing governance.

Quick Start

Set up ongoing value-alignment monitoring for my deployed AI system.