Customerio Deploy PipelineSAFE
Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com.
Overview
Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com.
4f83675ca38aOBSERVED · 2026-10-08Host compatibility
What the documentation claims. We have not run a compatibility test.
| Host | Status | Notes |
|---|---|---|
| claude-code | mentioned |
What it tells the agent
The instruction file, verbatim from the audited commit — this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.
--- name: customerio-deploy-pipeline description: 'Deploy Customer.io integrations to production cloud platforms. Use when deploying to Cloud Run, Vercel, AWS Lambda, or Kubernetes with proper secrets management and health checks. Trigger: "deploy customer.io", "customer.io cloud run", "customer.io kubernetes", "customer.io lambda", "customer.io vercel". ' allowed-tools: Read, Write, Edit, Bash(npm:*), Bash(gcloud:*), Bash(kubectl:*), Glob, Grep version: 1.14.0 license: MIT author: Jeremy Longshore <[email protected]> tags: - saas - customer-io - deployment - cloud-run - kubernetes compatibility: Designed for Claude Code --- # Customer.io Deploy Pipeline ## Output - A versioned, staged deployment of Customer.io configuration/code with owner approval, validation evidence, and a rollback reference. - A protected promotion path that prevents unreviewed changes from affecting production recipients. ## Examples Validate an event/template configuration in development and staging with synthetic profiles, attach schema/template test results to the change, then release through an approved canary. If the canary shows wrong audience, consent, or rendering behavior, stop promotion and restore the last approved configuration. ## Overview Deploy Customer.io integrations to production: GCP Cloud Run with Secret Manager, Vercel serverless functions, AWS Lambda with SSM, Kubernetes with external secrets, plus health check endpoints and blue-green deployment scripts. ## Prerequisites - CI/CD pipeline configured (see `customerio-ci-integration`) - Cloud platform credentials and access - Production Customer.io credentials in a secrets manager ## Instructions ### Step 1: Deploy to Google Cloud Run ```yaml # .github/workflows/deploy-cloud-run.yml name: Deploy to Cloud Run on: push: branches: [main] jobs: deploy: runs-on: ubuntu-latest permissions: contents: read id-token: write # Required for Workload Identity Federation steps: - uses: actions/checkout@v4 - id: auth uses: google-github-actions/auth@v2 with: workload_identity_provider: ${{ secrets.WIF_PROVIDER }} service_account: ${{ secrets.WIF_SA }} - uses: google-github-actions/setup-gcloud@v2 - name: Build and push run: | gcloud builds submit --tag gcr.io/${{ secrets.GCP_PROJECT }}/cio-service - name: Deploy run: | gcloud run deploy cio-service \ --image gcr.io/${{ secrets.GCP_PROJECT }}/cio-service \ --region us-central1 \ --set-secrets "CUSTOMERIO_SITE_ID=cio-site-id:latest,\ CUSTOMERIO_TRACK_API_KEY=cio-track-key:latest,\ CUSTOMERIO_APP_API_KEY=cio-app-key:latest" \ --set-env-vars "CUSTOMERIO_REGION=us,NODE_ENV=production" \ --min-instances 1 \ --max-instances 10 \ --memory 512Mi \ --cpu 1 \ --allow-unauthenticated ``` ### Step 2: Health Check Endpoint ```typescript // routes/health.ts import { TrackClient, RegionUS } from "customerio-node"; import { Router } from "express"; const router = Router(); router.get("/health", async (_req, res) => { const checks: Record<string, { status: string; latency_ms?: number }> = {}; // Check Track API const cio = new TrackClient( process.env.CUSTOMERIO_SITE_ID!, process.env.CUSTOMERIO_TRACK_API_KEY!, { region: RegionUS } ); const start = Date.now(); try { await cio.identify("health-check", { email: "[email protected]", _health_check: true, }); checks.track_api = { status: "ok", latency_ms: Date.now() - start }; } catch (err: any) { checks.track_api = { status: `error: ${err.statusCode}` }; } const allOk = Object.values(checks).every((c) => c.status === "ok"); res.status(allOk ? 200 : 503).json({ status: allOk ? "healthy" : "degraded", checks, version: process.env.npm_package_version ?? "unknown", uptime_seconds: Math.floor(process.uptime()), timestamp: new Date().toISOString(), }); }); export default router; ``` ### Step 3: Vercel Serverless Functions ```typescript // api/customerio/identify.ts (Vercel serverless function) import type { VercelRequest, VercelResponse } from "@vercel/node"; import { TrackClient, RegionUS } from "customerio-node"; const cio = new TrackClient( process.env.CUSTOMERIO_SITE_ID!, process.env.CUSTOMERIO_TRACK_API_KEY!, { region: RegionUS } ); export default async function handler(req: VercelRequest, res: VercelResponse) { if (req.method !== "POST") { return res.status(405).json({ error: "Method not allowed" }); } const { userId, attributes } = req.body; if (!userId || !attributes?.email) { return res.status(400).json({ error: "userId and attributes.email required" }); } try { await cio.identify(userId, { ...attributes, last_seen_at: Math.floor(Date.now() / 1000), }); return res.status(200).json({ success: true }); } catch (err: any) { return res.status(err.statusCode ?? 500).json({ error: err.message }); } } ``` ### Step 4: Kubernetes Deployment ```yaml # k8s/customerio-service.yaml apiVersion: apps/v1 kind: Deployment metadata: name: customerio-service spec: replicas: 2 selector: matchLabels: app: customerio-service template: metadata: labels: app: customerio-service spec: containers: - name: app image: gcr.io/my-project/cio-service:latest ports: - containerPort: 3000 env: - name: CUSTOMERIO_SITE_ID valueFrom: secretKeyRef: name: customerio-secrets key: site-id - name: CUSTOMERIO_TRACK_API_KEY valueFrom: secretKeyRef: name: customerio-secrets key: track-api-key -
Trust audit
SAFEgrade B · trust 89/100 Nothing in the source contradicts what it says it does. Grade A is reserved for packages that have also passed the behavioural sandbox.
| Layer | What it checks | Result |
|---|---|---|
| L0 | Provenance & inventory | PASS |
| L1 | Static analysis of the code | PASS |
| L2 | Instruction surface (what it tells the agent) | PASS |
| L3 | Class-specific surface | PASS |
| L4 | Behavioural (sandbox) | SKIPPED |
What the source does
- Filesystem
- none-observed
- Network
- none-observed
- Shell
- none-observed
- Dependencies
- pinned
- Secrets in source
- none-found
Findings (0)
No findings outside the package's declared scope.
Gates applied: no_behavioural_pass.
4f83675ca38afull audit observations/trust-audit/skill/jeremylongshore__customerio-deploy-pipeline.json · Report an issue / request a re-scanAudit history
Every audit this skill has had.
| Date | Source | Verdict | Grade | Score | Change |
|---|---|---|---|---|---|
| 2026-10-08 | 4f83675ca38a | SAFE | B | 89 | first audit |
Questions
What does the Customerio Deploy Pipeline skill do?
Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com.
Is Customerio Deploy Pipeline safe to install?
The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean skill reads B.
What can Customerio Deploy Pipeline access on my machine?
The audit observed no filesystem, network or shell use at all in its source.
Which assistants does Customerio Deploy Pipeline work with?
Its documentation mentions claude-code. That is what the text claims, not a compatibility test we ran.
How current is this page?
The grade is for one exact copy of the source (4f83675ca38a), read on 2026-10-08. The repository is watched, and a new audit runs when it changes — this is the first audit.