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validator-expert

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:*)

$ Instalar

git clone https://github.com/jeremylongshore/claude-code-plugins-plus-skills /tmp/claude-code-plugins-plus-skills && cp -r /tmp/claude-code-plugins-plus-skills/plugins/ai-ml/jeremy-vertex-validator/skills/validator-expert ~/.claude/skills/claude-code-plugins-plus-skills

// tip: Run this command in your terminal to install the skill

SKILL.md

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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

Validator Expert

This skill provides automated assistance for validator expert tasks.

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