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12
.claude-plugin/plugin.json
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12
.claude-plugin/plugin.json
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{
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"name": "jeremy-vertex-validator",
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"description": "Production readiness validator for Vertex AI deployments and configurations",
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"version": "1.0.0",
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"author": {
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"name": "Jeremy Longshore",
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"email": "jeremy@intentsolutions.io"
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},
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"skills": [
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"./skills"
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]
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}
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3
README.md
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README.md
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# jeremy-vertex-validator
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Production readiness validator for Vertex AI deployments and configurations
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plugin.lock.json
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plugin.lock.json
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{
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"$schema": "internal://schemas/plugin.lock.v1.json",
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"pluginId": "gh:jeremylongshore/claude-code-plugins-plus:plugins/ai-ml/jeremy-vertex-validator",
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"normalized": {
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"repo": null,
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"ref": "refs/tags/v20251128.0",
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"commit": "0c0e64e4a74eb3cc80f5fb9d32f83e1704c296d5",
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"treeHash": "df2f9c8349a0480473905923df0e6ed30f2dc13ed347565460ff245c9ae695e7",
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"generatedAt": "2025-11-28T10:18:54.100312Z",
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"toolVersion": "publish_plugins.py@0.2.0"
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},
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"origin": {
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"remote": "git@github.com:zhongweili/42plugin-data.git",
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"branch": "master",
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"commit": "aa1497ed0949fd50e99e70d6324a29c5b34f9390",
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"repoRoot": "/Users/zhongweili/projects/openmind/42plugin-data"
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},
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"manifest": {
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"name": "jeremy-vertex-validator",
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"description": "Production readiness validator for Vertex AI deployments and configurations",
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"version": "1.0.0"
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},
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"content": {
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"files": [
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{
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"path": "README.md",
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"sha256": "5493965367390c2cc17e58eed1ac69089eb05ec60ff5209c506b1cbc469be55f"
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},
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{
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"path": ".claude-plugin/plugin.json",
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"sha256": "867af173bf4515e75d699cc46ffe01242731687dc06c9c1798f048a8c84e38f4"
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},
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{
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"path": "skills/validator-expert/SKILL.md",
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"sha256": "f6e17a10374cd5e0efafe99d3ec1426a00876742f48d858e9a2ac09ddc1e4bbd"
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}
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"dirSha256": "df2f9c8349a0480473905923df0e6ed30f2dc13ed347565460ff245c9ae695e7"
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"flags": []
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}
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56
skills/validator-expert/SKILL.md
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skills/validator-expert/SKILL.md
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---
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name: validator-expert
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description: |
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Production readiness validator for Vertex AI Agent Engine deployments (ADK agents ONLY).
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5-category validation: Security (IAM, VPC-SC, Model Armor), Monitoring (2025 dashboard, alerts, SLOs), Performance (auto-scaling, Code Execution TTL), Compliance (audit logs, data residency), Best Practices (Memory Bank, A2A protocol).
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Generates weighted production readiness score (0-100%) with PASS/WARNING/FAIL status.
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Triggers: "validate agent engine deployment", "production readiness", "security audit", "check compliance"
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allowed-tools: Read, Grep, Glob, Bash
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version: 1.0.1
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---
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## What This Skill Does
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Production validator for Vertex AI deployments. Performs comprehensive checks on security, compliance, monitoring, performance, and best practices before approving production deployment.
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## When This Skill Activates
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Triggers: "validate deployment", "production readiness", "security audit vertex ai", "check compliance", "validate adk agent"
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## Validation Checklist
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### Security Validation
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- ✅ IAM roles follow least privilege
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- ✅ VPC Service Controls enabled
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- ✅ Encryption at rest configured
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- ✅ No hardcoded secrets
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- ✅ Service accounts properly configured
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- ✅ Model Armor enabled (for ADK)
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### Monitoring Validation
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- ✅ Cloud Monitoring dashboards configured
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- ✅ Alerting policies set
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- ✅ Token usage tracking enabled
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- ✅ Error rate monitoring active
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- ✅ Latency SLOs defined
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### Performance Validation
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- ✅ Auto-scaling configured
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- ✅ Resource limits appropriate
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- ✅ Caching strategy implemented
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- ✅ Code Execution sandbox TTL set
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- ✅ Memory Bank retention configured
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### Compliance Validation
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- ✅ Audit logging enabled
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- ✅ Data residency requirements met
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- ✅ Privacy policies implemented
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- ✅ Backup/disaster recovery configured
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## Tool Permissions
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Read, Grep, Glob, Bash - Read-only analysis for security
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## References
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- Vertex AI Security: https://cloud.google.com/vertex-ai/docs/security
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