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clerk-observability Implement monitoring, logging, and observability for Clerk authentication.
Use when setting up monitoring, debugging auth issues in production,
or implementing audit logging.
Trigger with phrases like "clerk monitoring", "clerk logging",
"clerk observability", "clerk metrics", "clerk audit log".
الانتقال إلى التثبيت سوق المهارات اكتشف واستكشف مهارات الذكاء الاصطناعي التي بناها المجتمع.
المهن ذات الصلة SOC
استنادا إلى تصنيف SOC المهني
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
عرض تفاصيل Prompt يتجاوز الأمر المباشر Prompt المخصّص للمراجعة. افحص المصدر قبل تشغيله.
npx skills add https://github.com/jeremylongshore/claude-code-plugins-plus-skills --skill clerk-observabilityيبقى الأمر في سطر واحد. مرّر أفقيًا لمراجعته كاملًا قبل النسخ.
تفضّل نسخة محلية؟ نزّل الملفات المتاحة حاليًا لدى SkillsMP.
تحميل Zip جاري التحميل... المزيد من هذا المستودع Implement user sign-up and sign-in flows with Clerk.
Use when building authentication UI, customizing sign-in experience,
or implementing OAuth social login.
Trigger with phrases like "clerk sign-in", "clerk sign-up",
"clerk login flow", "clerk OAuth", "clerk social login".
Implement session management and middleware with Clerk.
Use when managing user sessions, configuring route protection,
or implementing token refresh and custom JWT templates.
Trigger with phrases like "clerk session", "clerk middleware",
"clerk route protection", "clerk token", "clerk JWT".
Configure enterprise SSO, role-based access control, and organization management.
Use when implementing SSO integration, configuring role-based permissions,
or setting up organization-level controls.
Trigger with phrases like "clerk SSO", "clerk RBAC",
"clerk enterprise", "clerk roles", "clerk permissions", "clerk organizations".
name clerk-observability description Implement monitoring, logging, and observability for Clerk authentication.
Use when setting up monitoring, debugging auth issues in production,
or implementing audit logging.
Trigger with phrases like "clerk monitoring", "clerk logging",
"clerk observability", "clerk metrics", "clerk audit log".
allowed-tools Read, Write, Edit, Bash(npm:*), Grep version 1.14.0 license MIT author Jeremy Longshore <jeremy@intentsolutions.io> tags ["saas","clerk","monitoring","observability","debugging"] compatibility Designed for Claude Code, also compatible with Codex and OpenClaw
Clerk Observability
Overview
Implement monitoring, logging, and observability for Clerk authentication. Covers structured auth logging, middleware performance tracking, webhook event monitoring, Sentry integration, and health check endpoints.
Prerequisites
Clerk integration working
Monitoring platform (Sentry, DataDog, or Pino logger at minimum)
Logging infrastructure (structured JSON logs recommended)
Instructions
Step 1: Structured Authentication Event Logging
import pino from 'pino'
const logger = pino ({
level : process.env .LOG_LEVEL || 'info' ,
transport : process.env .NODE_ENV === 'development' ? { target : 'pino-pretty' } : undefined ,
})
export function logAuthEvent (event : {
type : 'sign_in' | 'sign_out' | 'sign_up' | 'permission_denied' | 'session_expired'
userId?: string | null
orgId?: string | null
path: string
metadata?: Record<string , any >
}info ({
category : 'auth' ,
...event,
timestamp : new Date ().toISOString (),
})
}
export
function
logAuthError
error : Error , context : { userId?: string ; path: string }
error
category
'auth'
error
message
stack
stack
timestamp
new
Date
toISOString
Step 2: Middleware Performance Monitoring
import { clerkMiddleware, createRouteMatcher } from '@clerk/nextjs/server'
const isPublicRoute = createRouteMatcher (['/' , '/sign-in(.*)' , '/sign-up(.*)' ])
export default clerkMiddleware (async (auth, req) => {
const start = Date .now ()
if (!isPublicRoute (req)) {
await auth.protect ()
}
const duration = Date .now () - start
const { userId } = await auth ()
if (duration > 100 ) {
console .warn (`[Auth Perf] ${req.nextUrl.pathname} took ${duration} ms` , {
userId : userId || 'anonymous' ,
method : req.method ,
})
}
const response = new Response (null , { status : 200 })
response.headers .set ('X-Auth-Duration' , `${duration} ms` )
})
Step 3: Webhook Event Tracking
import { logAuthEvent } from '@/lib/auth-logger'
async function handleWebhookEvent (evt : WebhookEvent const startTime = Date .now ()
const metrics = {
eventType : evt.type ,
receivedAt : new Date ().toISOString (),
processingTimeMs : 0 ,
}
switch (evt.type ) {
case 'user.created' :
logAuthEvent ({
type : 'sign_up' ,
userId : evt.data .id ,
path : '/webhooks/clerk' ,
metadata : { email : evt.data .email_addresses [0 ]?.email_address },
})
await db.user .create ({ data : { clerkId : evt.data .id } })
break
case 'session.created' :
logAuthEvent ({
type : 'sign_in' ,
userId : evt.data .user_id ,
path : '/webhooks/clerk' ,
})
break
case 'session.ended' :
logAuthEvent ({
type : 'sign_out' ,
userId : evt.data .user_id ,
path : '/webhooks/clerk' ,
})
break
}
metrics.processingTimeMs = Date .now () - startTime
if (metrics.processingTimeMs > 5000 ) {
console .error ('[Webhook] Slow processing:' , metrics)
}
return Response .json ({ received : true })
}
Step 4: Sentry Error Tracking Integration
import * as Sentry from '@sentry/nextjs'
import { auth, currentUser } from '@clerk/nextjs/server'
export async function initSentryUser (const { userId, orgId } = await auth ()
if (userId) {
const user = await currentUser ()
Sentry .setUser ({
id : userId,
email : user?.emailAddresses [0 ]?.emailAddress ,
username : user?.username || undefined ,
})
Sentry .setTag ('org_id' , orgId || 'personal' )
}
}
export function withAuthSentry (handler : Function return async (...args : any []) => {
await initSentryUser ()
try {
return await handler (...args)
} catch (error) {
Sentry .captureException (error)
throw error
}
}
}
import * as Sentry from '@sentry/nextjs'
Sentry .init ({
dsn : process.env .SENTRY_DSN ,
tracesSampleRate : 0.1 ,
beforeSend (event ) {
if (event.extra ) {
delete event.extra ['CLERK_SECRET_KEY' ]
}
return event
},
})
Step 5: Health Check Endpoint
import { clerkClient } from '@clerk/nextjs/server'
export async function GET (const checks : Record <string , { status : string ; latencyMs : number ; detail ?: string }> = {}
const clerkStart = Date .now ()
try {
const client = await clerkClient ()
await client.users .getUserList ({ limit : 1 })
checks.clerk = { status : 'healthy' , latencyMs : Date .now () - clerkStart }
} catch (err : any ) {
checks.clerk = { status : 'unhealthy' , latencyMs : Date .now () - clerkStart, detail : err.message }
}
const dbStart = Date .now ()
try {
await db.$queryRaw `SELECT 1`
checks.database = { status : 'healthy' , latencyMs : Date .now () - dbStart }
} catch (err : any ) {
checks.database = { status : 'unhealthy' , latencyMs : Date .now () - dbStart, detail : err.message }
}
const allHealthy = Object .values (checks).every ((c ) => c.status === 'healthy' )
return Response .json (
{ status : allHealthy ? 'healthy' : 'degraded' , checks, timestamp : new Date ().toISOString () },
{ status : allHealthy ? 200 : 503 }
)
}
Step 6: Dashboard Metrics Query
import { auth } from '@clerk/nextjs/server'
export async function GET (const { has } = await auth ()
if (!has ({ role : 'org:admin' })) {
return Response .json ({ error : 'Forbidden' }, { status : 403 })
}
const now = new Date ()
const dayAgo = new Date (now.getTime () - 24 * 60 * 60 * 1000 )
const metrics = {
signIns24h : await db.auditLog .count ({
where : { action : 'sign_in' , timestamp : { gte : dayAgo } },
}),
signUps24h : await db.auditLog .count ({
where : { action : 'sign_up' , timestamp : { gte : dayAgo } },
}),
authErrors24h : await db.auditLog .count ({
where : { action : 'permission_denied' , timestamp : { gte : dayAgo } },
}),
webhookEvents24h : await db.webhookEvent .count ({
where : { processedAt : { gte : dayAgo } },
}),
}
return Response .json (metrics)
}
Output
Structured auth event logging with Pino (sign-in, sign-out, sign-up, errors)
Middleware performance tracking with slow-request alerts
Webhook event monitoring with processing time metrics
Sentry integration with Clerk user context
Health check endpoint monitoring Clerk API and database
Admin metrics endpoint for auth dashboard
Error Handling Issue Monitoring Action High auth latency (p95 > 200ms) Alert via middleware timing logs, investigate caching Webhook failure rate > 1% Alert on processing errors, check endpoint health Session anomalies Track unusual sign-in patterns via audit log Clerk API errors Capture with Sentry context, check status.clerk.com
Examples
Quick Monitoring One-Liner
LOG_LEVEL=debug npm run dev 2>&1 | grep '"category":"auth"'
Resources
Next Steps Proceed to clerk-incident-runbook for incident response procedures.
