Back to skills
SKILL.md
Validator Expert
ASecurityValidate 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'.
- 1,689 stars
- 0 votes
- 0 copies
- 1 view
- Added September 1, 2026
Security analysis
100/100Pro scans all 2 files and shows the line behind each finding
npx -y skills add Dicklesworthstone/pi_agent_rust --skill validator-expert --agent claude-codeAre you the author of Validator Expert?
Add the live security badge to your README. It updates with every re-scan.
[](https://www.skillsdirectory.com/skills/dicklesworthstone-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... 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
1. Invoke this skill when the trigger conditions are met
2. Provide necessary context and parameters
3. Review the generated output
4. 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 commandsFiles in this skill
- SKILL.md
- scripts/validate-production.sh
Attribution
Comments
Loading comments…