continuous-monitoring

What problem does it solve?

This Skill enables real-time detection of adversarial attacks and model drift in production AI systems, ensuring security, reliability, and quick remediation for deployed models.

Core Features & Use Cases

• Input anomaly detection: Detect suspicious inputs and prompts to prevent adversarial manipulation.
• Output quality & drift monitoring: Track response quality and model drift to maintain trust and performance.
• Security event monitoring: Monitor for prompt injections, jailbreak attempts, and rate abuse with immediate alerts.
• Use Case: In a Claude Code plugin, continuously monitor user interactions and trigger alerts or auto-mitigation when anomalies are detected.

Quick Start

Activate continuous monitoring by enabling the Skill and configure assets/references monitoring files, then start the monitoring agents and review the generated dashboard data for real-time insights.