Customerio Reliability PatternsSAFE
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-reliability-patterns description: 'Implement Customer.io reliability and fault-tolerance patterns. Use when building circuit breakers, fallback queues, idempotency, or graceful degradation for Customer.io integrations. Trigger: "customer.io reliability", "customer.io resilience", "customer.io circuit breaker", "customer.io fault tolerance". ' allowed-tools: Read, Write, Edit, Bash(npm:*), Bash(npx:*), Glob, Grep version: 1.14.0 license: MIT author: Jeremy Longshore <[email protected]> tags: - saas - customer-io - reliability - circuit-breaker - resilience compatibility: Designed for Claude Code --- # Customer.io Reliability Patterns ## Output - An idempotent, observable event-delivery design with owned retry, replay, and dead-letter decisions. - A recovery procedure that protects consent, ordering, and recipient experience during partial failures. ## Error Handling | Condition | Safe response | |---|---| | Provider returns transient failure | Retry with bounded exponential backoff and preserve the idempotency key. | | Event may be duplicated | Deduplicate by the stable event/correlation key before triggering downstream action. | | Replay could resend customer messaging | Require consent/segment review and replay only the scoped failed set. | | Dead-letter queue grows | Alert the owner, quarantine malformed payloads, and fix the contract before bulk replay. | ## Examples Store an immutable event ID and delivery state, retry 429/5xx responses with bounded backoff, and send terminal failures to a protected dead-letter queue. After the schema fix, replay only those records whose consent and idempotency checks still pass. ## Overview Implement fault-tolerant Customer.io integrations: circuit breaker (stop cascading failures), retry with jitter (handle transient errors), fallback queue (survive outages), idempotency guard (prevent duplicates), and graceful degradation (never crash your app for analytics). ## Prerequisites - Working Customer.io integration - Understanding of failure modes (429, 5xx, timeouts, DNS failures) - Redis (recommended for queue-based patterns) ## Instructions ### Pattern 1: Circuit Breaker ```typescript // lib/circuit-breaker.ts type CircuitState = "CLOSED" | "OPEN" | "HALF_OPEN"; export class CircuitBreaker { private state: CircuitState = "CLOSED"; private failureCount = 0; private successCount = 0; private lastFailureTime = 0; constructor( private readonly failureThreshold: number = 5, private readonly successThreshold: number = 3, private readonly resetTimeoutMs: number = 30000 ) {} get currentState(): CircuitState { if (this.state === "OPEN") { // Check if enough time has passed to try again if (Date.now() - this.lastFailureTime > this.resetTimeoutMs) { this.state = "HALF_OPEN"; this.successCount = 0; } } return this.state; } async execute<T>(fn: () => Promise<T>): Promise<T> { if (this.currentState === "OPEN") { throw new Error("Circuit breaker is OPEN — Customer.io calls blocked"); } try { const result = await fn(); this.onSuccess(); return result; } catch (err) { this.onFailure(); throw err; } } private onSuccess(): void { this.failureCount = 0; if (this.state === "HALF_OPEN") { this.successCount++; if (this.successCount >= this.successThreshold) { this.state = "CLOSED"; console.log("Circuit breaker: CLOSED (recovered)"); } } } private onFailure(): void { this.failureCount++; this.lastFailureTime = Date.now(); if (this.failureCount >= this.failureThreshold) { this.state = "OPEN"; console.warn( `Circuit breaker: OPEN (${this.failureCount} failures). ` + `Will retry in ${this.resetTimeoutMs / 1000}s` ); } } getStatus(): { state: CircuitState; failures: number; lastFailure: Date | null } { return { state: this.currentState, failures: this.failureCount, lastFailure: this.lastFailureTime ? new Date(this.lastFailureTime) : null, }; } } ``` ### Pattern 2: Retry with Jitter ```typescript // lib/retry.ts export async function retryWithJitter<T>( fn: () => Promise<T>, maxRetries = 3, baseDelayMs = 1000 ): Promise<T> { for (let attempt = 0; attempt <= maxRetries; attempt++) { try { return await fn(); } catch (err: any) { const status = err.statusCode ?? err.status; // Don't retry client errors (except 429) if (status >= 400 && status < 500 && status !== 429) throw err; if (attempt === maxRetries) throw err; // Exponential backoff: 1s, 2s, 4s + random jitter up to 30% const delay = baseDelayMs * Math.pow(2, attempt); const jitter = delay * 0.3 * Math.random(); await new Promise((r) => setTimeout(r, delay + jitter)); } } throw new Error("Unreachable"); } ``` ### Pattern 3: Fallback Queue ```typescript // lib/customerio-fallback.ts import { Queue, Worker } from "bullmq"; import { TrackClient, RegionUS } from "customerio-node"; const REDIS_URL = process.env.REDIS_URL ?? "redis://localhost:6379"; // Queue for operations that fail when circuit breaker is open const fallbackQueue = new Queue("cio:fallback", { connection: { url: REDIS_URL }, defaultJobOptions: { attempts: 10, backoff: { type: "exponential", delay: 60000 }, // Start at 1 min removeOnComplete: 1000, removeOnFail: 5000, }, }); export async function enqueueFallback( operation: "identify" | "track" | "suppress", data: Record<string, any> ): Promise<void> { await fallbackQueue.add(operation, data); console.log(`CIO fallback: queued ${operation} (circuit open)`); } // Worker processes fallback queue when CIO is back up export function startFallbackWorker(): void { const cio = new TrackClient( process.env.CUSTOMERIO_SITE_ID!, process.env.CUSTOMERIO_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-reliability-patterns.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 Reliability Patterns 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 Reliability Patterns 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 Reliability Patterns access on my machine?
The audit observed no filesystem, network or shell use at all in its source.
Which assistants does Customerio Reliability Patterns 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.