Skill UI

Structured production checklist guiding OpenEvidence clinical AI deployments through legal, security, infrastructure, monitoring, resilience, and testing milestones to ensure compliant launches and pre-deployment reviews.

Provides a structured process for reviewing security and compliance of OpenRouter integrations, covering prerequisites, implementation review, testing, and monitoring to prepare for audits or security assessments.

Guides teams through security, monitoring, error handling, and operational readiness steps before deploying OpenRouter into production, ensuring integration, configuration, and verification tasks are complete.

Inspect Vertex AI Agent Engine deployments end-to-end, validate sandboxing, memory bank, A2A compliance, security posture, and monitoring, then emit weighted production-readiness scores with remediation guidance.

Deploys machine-learning anomaly detection across OT networks by modeling deterministic SCADA/Modbus/DNP3/OPC UA traffic, correlating with historians, and flagging behavior deviations, rogue devices, or process anomalies for industrial control security monitoring.

Simulates bandwidth throttling and degradation using tc, iperf3, and Scapy to test QoS controls, application resilience, and monitoring detection within authorized security assessments.