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clerk-observability - Agent Skill - Agent Skills
Home/ Skills / 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".
Use the skills CLI to install this skill with one command. Auto-detects all installed AI assistants.
Method 1 - skills CLI
npx skills i jeremylongshore/claude-code-plugins-plus-skills/plugins/saas-packs/clerk-pack/skills/clerk-observability CopyMethod 2 - openskills (supports sync & update)
npx openskills install jeremylongshore/claude-code-plugins-plus-skills CopyAuto-detects Claude Code, Cursor, Codex CLI, Gemini CLI, and more. One install, works everywhere.
Installation Path
Download and extract to one of the following locations:
Claude Code Cursor OpenCode Gemini CLI Codex CLI
~/.claude/skills/clerk-observability/ Back No setup needed. Let our cloud agents run this skill for you.
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Clerk Observability
Overview
Implement comprehensive monitoring, logging, and observability for Clerk authentication.
Prerequisites
Clerk integration working
Monitoring platform (DataDog, New Relic, Sentry, etc.)
Logging infrastructure
Instructions
Step 1: Authentication Event Logging
// lib/auth-logger.ts
import { auth, currentUser } from '@clerk/nextjs/server'
interface AuthEvent {
type : string
userId : string | null
timestamp : string
metadata : Record < string , any >
}
class AuthLogger {
private events : AuthEvent [] = []
log
Step 2: Middleware Monitoring
// middleware.ts
import { clerkMiddleware, createRouteMatcher } from '@clerk/nextjs/server'
import { NextResponse } from 'next/server'
const isPublicRoute = createRouteMatcher ([ '/' , '/sign-in(.*)' , '/sign-up(.*)' ])
export
Step 3: Session Analytics
// lib/session-analytics.ts
import { clerkClient } from '@clerk/nextjs/server'
interface SessionMetrics {
totalSessions : number
activeSessions : number
averageSessionDuration : number
sessionsByDevice :
Step 4: Webhook Event Tracking
// app/api/webhooks/clerk/route.ts
import { Webhook } from 'svix'
import { headers } from 'next/headers'
import { WebhookEvent } from '@clerk/nextjs/server'
const webhookMetrics = {
Step 5: Error Tracking with Sentry
// lib/sentry-clerk.ts
import * as Sentry from '@sentry/nextjs'
import { auth, currentUser } from '@clerk/nextjs/server'
export async function initSentryWithClerk () {
const { userId , orgId } = await auth
Step 6: Health Check Endpoint
// app/api/health/clerk/route.ts
import { auth, clerkClient } from '@clerk/nextjs/server'
interface HealthStatus {
status : 'healthy' | 'degraded' | 'unhealthy'
checks :
Dashboard Metrics
Track these key metrics:
Authentication success/failure rate
Auth latency (p50, p95, p99)
Active sessions over time
Webhook processing time
Error rate by type
Output
Authentication event logging
Performance monitoring
Error tracking integration
Health check endpoints
Error Handling
Issue Monitoring Action High auth latency Alert on p95 > 200ms Failed webhooks Alert on failure rate > 1% Session anomalies Track unusual session patterns API errors Capture with Sentry context
Resources
Next Steps
Proceed to clerk-incident-runbook for incident response procedures.
(
type
:
string
,
metadata
:
Record
<
string
,
any
>
=
{}) {
const event : AuthEvent = {
type,
userId: null , // Set after auth
timestamp: new Date (). toISOString (),
metadata
}
this .events. push (event)
console. log ( '[Auth Event]' , JSON . stringify (event))
// Send to monitoring service
this . sendToMonitoring (event)
}
async logWithAuth ( type : string , metadata : Record < string , any > = {}) {
const { userId , sessionId } = await auth ()
const event : AuthEvent = {
type,
userId,
timestamp: new Date (). toISOString (),
metadata: {
... metadata,
sessionId,
hasUser: !! userId
}
}
this .events. push (event)
console. log ( '[Auth Event]' , JSON . stringify (event))
this . sendToMonitoring (event)
}
private sendToMonitoring ( event : AuthEvent ) {
// DataDog example
if (process.env. DD_API_KEY ) {
fetch ( 'https://http-intake.logs.datadoghq.com/v1/input' , {
method: 'POST' ,
headers: {
'Content-Type' : 'application/json' ,
'DD-API-KEY' : process.env. DD_API_KEY
},
body: JSON . stringify ({
ddsource: 'clerk' ,
ddtags: 'env:production' ,
message: event
})
}). catch (console.error)
}
}
}
export const authLogger = new AuthLogger ()
default
clerkMiddleware
(
async
(
auth
,
request
)
=>
{
const start = performance. now ()
const { userId , sessionId } = await auth ()
// Log auth check
const authDuration = performance. now () - start
// Add monitoring headers
const response = NextResponse. next ()
response.headers. set ( 'x-auth-duration' , String (authDuration. toFixed ( 2 )))
response.headers. set ( 'x-auth-user' , userId || 'anonymous' )
// Log slow auth
if (authDuration > 100 ) {
console. warn ( '[Clerk Perf] Slow auth check:' , {
duration: authDuration,
path: request.nextUrl.pathname,
userId
})
}
// Metrics
recordMetric ( 'clerk.auth.duration' , authDuration)
recordMetric ( 'clerk.auth.success' , userId ? 1 : 0 )
return response
})
function recordMetric ( name : string , value : number ) {
// Send to your metrics provider
console. log ( `[Metric] ${ name }: ${ value }` )
}
Record
<
string
,
number
>
}
export async function getSessionMetrics ( userId : string ) : Promise < SessionMetrics > {
const client = await clerkClient ()
const sessions = await client.sessions. getSessionList ({
userId,
status: 'active'
})
const sessionsByDevice : Record < string , number > = {}
let totalDuration = 0
for ( const session of sessions.data) {
// Parse user agent for device type
const device = parseDeviceType (session.userAgent || '' )
sessionsByDevice[device] = (sessionsByDevice[device] || 0 ) + 1
// Calculate duration
const duration = Date. now () - new Date (session.createdAt). getTime ()
totalDuration += duration
}
return {
totalSessions: sessions.totalCount,
activeSessions: sessions.data. length ,
averageSessionDuration: totalDuration / sessions.data. length || 0 ,
sessionsByDevice
}
}
function parseDeviceType ( userAgent : string ) : string {
if ( / mobile / i . test (userAgent)) return 'mobile'
if ( / tablet / i . test (userAgent)) return 'tablet'
return 'desktop'
}
received:
0
,
processed: 0 ,
failed: 0 ,
byType: {} as Record < string , number >
}
export async function POST ( req : Request ) {
webhookMetrics.received ++
const start = performance. now ()
const headerPayload = await headers ()
const svix_id = headerPayload. get ( 'svix-id' ) !
// ... verification code ...
try {
const evt = wh. verify (body, headers) as WebhookEvent
const eventType = evt.type
// Track by type
webhookMetrics.byType[eventType] = (webhookMetrics.byType[eventType] || 0 ) + 1
// Process event
await processEvent (evt)
webhookMetrics.processed ++
// Log success
console. log ( '[Webhook]' , {
type: eventType,
id: svix_id,
duration: performance. now () - start,
status: 'success'
})
return Response. json ({ success: true })
} catch (error) {
webhookMetrics.failed ++
console. error ( '[Webhook Error]' , {
id: svix_id,
error: error.message,
duration: performance. now () - start
})
return Response. json ({ error: 'Processing failed' }, { status: 500 })
}
}
// Expose metrics endpoint
export async function GET () {
return Response. json (webhookMetrics)
}
()
if (userId) {
Sentry. setUser ({
id: userId,
// Don't include email unless necessary for privacy
})
Sentry. setContext ( 'clerk' , {
userId,
orgId,
hasOrg: !! orgId
})
}
}
// Wrapper for auth operations with error tracking
export async function withAuthErrorTracking < T >(
operation : () => Promise < T >,
context : string
) : Promise < T > {
try {
return await operation ()
} catch (error) {
Sentry. captureException (error, {
tags: {
component: 'clerk' ,
operation: context
}
})
throw error
}
}
// Usage
const user = await withAuthErrorTracking (
() => currentUser (),
'get-current-user'
)
{
auth : { status : string ; latency : number }
api : { status : string ; latency : number }
webhooks : { status : string ; lastReceived : string | null }
}
timestamp : string
}
export async function GET () {
const health : HealthStatus = {
status: 'healthy' ,
checks: {
auth: { status: 'unknown' , latency: 0 },
api: { status: 'unknown' , latency: 0 },
webhooks: { status: 'unknown' , lastReceived: null }
},
timestamp: new Date (). toISOString ()
}
// Check auth function
const authStart = performance. now ()
try {
await auth ()
health.checks.auth = {
status: 'ok' ,
latency: performance. now () - authStart
}
} catch {
health.checks.auth = {
status: 'error' ,
latency: performance. now () - authStart
}
health.status = 'degraded'
}
// Check API connectivity
const apiStart = performance. now ()
try {
const client = await clerkClient ()
await client.users. getUserList ({ limit: 1 })
health.checks.api = {
status: 'ok' ,
latency: performance. now () - apiStart
}
} catch {
health.checks.api = {
status: 'error' ,
latency: performance. now () - apiStart
}
health.status = 'unhealthy'
}
return Response. json (health)
}