| 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... Trigger with phrases like 'validate', 'check', or 'verify'. |
| allowed-tools | Read, Grep, Glob, Bash(cmd:*) |
| version | 1.0.0 |
| author | Jeremy Longshore <jeremy@intentsolutions.io> |
| 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
Overview
This skill provides automated assistance for validator expert tasks. This skill provides automated assistance for the described functionality.
Prerequisites
- Appropriate file access permissions
- Required dependencies installed
Instructions
- Invoke this skill when the trigger conditions are met
- Provide necessary context and parameters
- Review the generated output
- Apply modifications as needed
Output
The skill produces structured output relevant to the task.
Error Handling
- Invalid input: Prompts for correction
- Missing dependencies: Lists required components
- Permission errors: Suggests remediation steps
Examples
Example usage patterns will be demonstrated in context.
Resources
- Project documentation
- Related skills and commands