How is the production readiness score calculated?

The score is calculated using a weighted matrix: Security (30%), Performance (25%), Monitoring (20%), Compliance (15%), and Reliability (10%), resulting in a final percentage and readiness status.

What is the Vertex Engine Inspector skill?

It is a diagnostic tool for Claude Code that automates the inspection of Vertex AI Agent Engine deployments to ensure they are secure, compliant, and production-ready.

What is A2A protocol compliance?

A2A stands for Agent-to-Agent protocol. This skill checks if your agent correctly implements the AgentCard and Task APIs required for standard interoperability within the Vertex AI ecosystem.

Can this skill modify my Google Cloud configurations?

No, the skill is designed for read-only inspection. It identifies issues and provides a detailed recommendation report and action plan, but does not make changes to your infrastructure.

Does it support the Code Execution Sandbox?

Yes, it specifically validates the sandbox security posture, isolation levels, and State TTL settings to ensure session persistence and data security.

Vertex AI Engine Inspector

Name: Vertex AI Engine Inspector
Author: jeremylongshore

byjeremylongshore

•

883

클라우드 인프라

Audits and validates Vertex AI Agent Engine deployments for security, performance, and production readiness.

소개

The Vertex Engine Inspector is a specialized Claude Code skill designed to perform deep-dive technical audits of Vertex AI Agent Engine managed runtimes. It systematically evaluates critical components like the Code Execution Sandbox, Memory Bank persistence, and A2A protocol compliance while generating actionable production readiness scores. Whether you are performing pre-deployment checks or post-deployment health monitoring, this skill ensures your AI agents meet Google Cloud's security standards and operational best practices by analyzing IAM roles, VPC configurations, and real-time performance metrics.

주요 기능

Automated monitoring analysis for error rates, latency, and token usage
Audit of Memory Bank retention policies and Firestore storage configurations
Full A2A protocol compliance checking for AgentCard and Task APIs
Production readiness scoring based on security, performance, and reliability metrics
Comprehensive validation of Code Execution Sandbox security and TTL settings
883 GitHub stars

사용 사례

Troubleshooting performance issues like high latency or memory bank truncation
Ensuring multi-agent communication follows A2A protocol standards
Validating agent security and IAM permissions before moving to production

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add jeremylongshore/claude-code-plugins-plus-skills vertex-engine-inspector

For use in Claude.ai and ChatGPT

Download Skill

GitHub

소개