Individual skill
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 remediation plans. Use when asked to validate a deployment, run a production readiness check, audit security posture, or verify compliance for Vertex AI agents. Trigger with "validate deployment", "production readiness", "security audit", "compliance check", "is this agent ready for prod", "check my ADK agent", "review before deploy", or "production readiness check". Make sure to use this skill whenever validating ADK agents for Agent Engine.
plugins/ai-ml/jeremy-vertex-validator/skills/validator-expert/SKILL.md
Source commit 0500b275e963c027f6b410e8c49c0446945c574e
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- No
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Not checked yet
- Last checked
- Nov 12, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
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Repository context
- Repository stars (not skill ratings)
- 2,917
- Repository last updated
- Nov 12, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- ai Repository topic
- automation Repository topic
- claude-code Repository topic
- devops Repository topic
- mcp Repository topic
- ai-agents Repository topic
- anthropic Repository topic
- claude-code-plugins Repository topic
- developer-tools Repository topic
- llm Repository topic
- vertex-ai Declared skill tag
- security Declared skill tag
- compliance Declared skill tag
- validation Declared skill tag
- production-readiness Declared skill tag
- gcp Declared skill tag
- security Derived category
Files and excerpt
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Browse files
ARD.mddoc · 3,688 bytesPRD.mddoc · 3,415 bytesSKILL.mdcore · 7,442 bytesreferences/monitoring-checklist.mddoc · 4,985 bytesreferences/performance-compliance-checklist.mddoc · 3,874 bytesreferences/security-checklist.mddoc · 6,523 bytesscripts/validate-production.shruns · 1,419 bytes
Read excerpt
# Validator Expert
## Current State
!`gcloud config get-value project 2>/dev/null || echo 'no active project'`
!`gcloud auth list --filter=status:ACTIVE --format="value(account)" 2>/dev/null || echo 'not authenticated'`
## Overview
Validate production readiness of Vertex AI Agent Engine deployments by executing weighted checks across five categories: security (30 points), monitoring (20 points), performance (25 points), compliance (15 points), and best practices (10 points). This skill produces a 0-100% composite score with pass/fail per check and prioritized remediation recommendations.
## Prerequisites
- `gcloud` CLI authenticated with `roles/aiplatform.viewer`, `roles/iam.securityReviewer`, and `roles/monitoring.viewer`
- Access to the target Google Cloud project and Vertex AI Agent Engine deployment