Vertex Engine Inspector

Overview

Inspect and validate Vertex AI Agent Engine deployments across seven categories: runtime configuration, Code Execution Sandbox, Memory Bank, A2A protocol compliance, security posture, performance metrics, and monitoring observability. This skill generates weighted production-readiness scores (0-100%) with actionable recommendations for each deployment.

Prerequisites

• google-cloud-aiplatform[agent_engines]>=1.120.0 Python SDK installed
• gcloud CLI authenticated (for IAM and monitoring queries — not for Agent Engine CRUD)
• IAM roles: roles/aiplatform.user and roles/monitoring.viewer granted on the target project
• Access to the target Google Cloud project hosting the Agent Engine deployment
• curl for A2A protocol endpoint testing (AgentCard, Task API, Status API)
• Cloud Monitoring API enabled for performance metrics retrieval
• Familiarity with Vertex AI Agent Engine concepts: Code Execution Sandbox, Memory Bank, Model Armor

Important: There is no gcloud CLI surface for Agent Engine (no gcloud ai agents, gcloud ai reasoning-engines, or gcloud alpha ai agent-engines commands exist). All Agent Engine operations use the Python SDK via vertexai.Client() or vertexai.preview.reasoning_engines.

Instructions