validator-expert

name: validator-expert description: Validate production readiness of Vertex AI Agent Engine deployments across security, monitoring, performance, compliance, and best practices. Generates weighted scores (0-100%) with actionable recommendations. Use when asked to "validate deploymen... allowed-tools: Read, Grep, Glob, Bash license: MIT

What This Skill Does

Production validator for Vertex AI deployments. Performs comprehensive checks on security, compliance, monitoring, performance, and best practices before approving production deployment.

When This Skill Activates

Triggers: "validate deployment", "production readiness", "security audit vertex ai", "check compliance", "validate adk agent"

Validation Checklist

Security Validation

• ✅ IAM roles follow least privilege
• ✅ VPC Service Controls enabled
• ✅ Encryption at rest configured
• ✅ No hardcoded secrets
• ✅ Service accounts properly configured
• ✅ Model Armor enabled (for ADK)

Monitoring Validation

• ✅ Cloud Monitoring dashboards configured
• ✅ Alerting policies set
• ✅ Token usage tracking enabled
• ✅ Error rate monitoring active
• ✅ Latency SLOs defined

Performance Validation

• ✅ Auto-scaling configured
• ✅ Resource limits appropriate
• ✅ Caching strategy implemented
• ✅ Code Execution sandbox TTL set
• ✅ Memory Bank retention configured

Compliance Validation

• ✅ Audit logging enabled
• ✅ Data residency requirements met
• ✅ Privacy policies implemented
• ✅ Backup/disaster recovery configured

Tool Permissions

Read, Grep, Glob, Bash - Read-only analysis for security

References

• Vertex AI Security: https://cloud.google.com/vertex-ai/docs/security