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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',...
--- name: validator-expert-797ad53cf755 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 commands--- name: validator-expert-797ad53cf755 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 commands
Imported from the listed AgentSkill.sh category. Complete supplied package files and notices are retained. Includes source scripts; review them before use. Required external tools and credentials are not installed. No bundled code was executed during import. Individual agent task behavior has not been tested.