observability-setup

observability-setup is a skill for Claude Code, Codex from navikt/copilot. It costs 30 tokens per session (2,855 once invoked), scanned A, original, MIT.

A setup guide for adding monitoring and health checks to applications running on Nais. It covers Prometheus metrics, OpenTelemetry request tracing, and endpoints that report whether an application is alive and ready to receive traffic.

In plain words
What is it for?
Adding `/isalive` and `/isready` endpoints, checking database and Kafka health, and establishing patterns for metrics and distributed tracing in Nais applications.
Why use it?
It helps the platform distinguish a running application from one that is actually able to serve requests. Readiness checks can verify dependencies such as databases and Kafka before traffic is sent.

Skill for Claude CodeCodex

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/navikt/copilot/observability-setup
Any agent
npx skills add navikt/copilot --skill observability-setup
Clone the repo
git clone --depth 1 https://github.com/navikt/copilot

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for observability-setup

README.md
[![agentmods](https://agentmods.dev/badge/skills/navikt/copilot/observability-setup.svg)](https://agentmods.dev/skills/navikt/copilot/observability-setup)
Your own site
<a href="https://agentmods.dev/skills/navikt/copilot/observability-setup"><img src="https://agentmods.dev/badge/skills/navikt/copilot/observability-setup.svg" alt="Measured on agentmods" height="20"></a>
Per session 30 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,855 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00030 $0.02855
Opus 5 $0.00015 $0.01427
Sonnet 5 $0.00006 $0.00571
Haiku 4.5 $0.00003 $0.00285

Measured today against content hash 119e9d2580b3, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

observability-setup scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured today.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/observability-setup/SKILL.md · 428 lines

How it starts

The opening of the file, as written. The whole thing — 428 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Observability Setup Skill

This skill provides patterns for setting up observability in Nais applications.

Required Health Endpoints

import io.ktor.server.application.*
import io.ktor.server.response.*
import io.ktor.server.routing.*
import io.ktor.http.*

fun Application.configureHealthEndpoints(
    dataSource: HikariDataSource,
    kafkaProducer: KafkaProducer<String, String>
) {
    routing {
        get("/isalive") {
            call.respondText("Alive", ContentType.Text.Plain)
        }

        get("/isready") {
            val databaseHealthy = checkDatabase(dataSource)
            val kafkaHealthy = checkKafka(kafkaProducer)

            if (databaseHealthy && kafkaHealthy) {
                call.respondText("Ready", ContentType.Text.Plain)
            } else {
                call.respondText(
                    "Not ready",
                    ContentType.Text.Plain,
                    HttpStatusCode.ServiceUnavailable
                )
            }
        }
    }
}

fun checkDatabase(dataSource: HikariDataSource): Boolean {
    return try {
        dataSource.connection.use { it.isValid(1) }
    } catch (e: Exception) {
        false
    }
}

fun checkKafka(producer: KafkaProducer<String, String>): Boolean {
    return try {
        producer.partitionsFor("health-check-topic").isNotEmpty()
    } catch (e: Exception) {
        false
    }
}

Prometheus Metrics Setup

import io.micrometer.core.instrument.Clock
import io.micrometer.core.instrument.binder.jvm.*
import io.micrometer.prometheus.PrometheusConfig
import io.micrometer.prometheus.PrometheusMeterRegistry
import io.prometheus.client.CollectorRegistry
import io.ktor.server.metrics.micrometer.*
import io.ktor.server.response.*
import io.ktor.http.*

val meterRegistry = PrometheusMeterRegistry(
    PrometheusConfig.DEFAULT,
    CollectorRegistry.defaultRegistry,
    Clock.SYSTEM
)

fun Application.configureMetrics() {
    install(MicrometerMetrics) {
        registry = meterRegistry
        // Production pattern from navikt/ao-oppfolgingskontor
        meterBinders = listOf(
            JvmMemoryMetrics(),        // Heap, non-heap memory
            JvmGcMetrics(),            // Garbage collection
            ProcessorMetrics(),        // CPU usage
            UptimeMetrics()            // Application uptime
        )
    }

    routing {
        get("/metrics") {
            call.respondText(
                meterRegistry.scrape(),
                ContentType.parse("text/plain; version=0.0.4")
            )
        }
    }
}

Read the full file on GitHub · 428 lines

Files

What ships with it

9 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. today Changed · +12 lines 119e9d2580b3
  2. 4d ago First seen · 416 lines · 30 tokens per session scan A de63b0e140e8

Subscribe to this mod's changes

observability-setup is a skill published in the GitHub repository navikt/copilot (54 stars, last pushed today), licensed MIT. It adds 30 tokens to every session and 2,855 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Related

Other skills, from other repositories

winui-ui-testing

Automated UI testing for Windows desktop apps — generate a batch test script with the winapp ui UI Automation harness, run all tests in one pass, read results. Covers element assertions, interactions, value checking (TextBox, ComboBox, ToggleSwitch), keyboard shortcuts and typing (send-keys), hover, drag-and-drop…

microsoft/win-dev-skills · 122 tokens

pr-review

Multi-dimensional review of a PR or feature branch in microsoft/win-dev-skills. Activate on "review my PR / changes / branch", "vet before pushing", "PR review", "is this ready to merge". Fans out parallel sub-agents over skill content, the skill-vs-tool boundary (solution hierarchy), tool correctness…

microsoft/win-dev-skills · 98 tokens

winui-design

Use when designing, reviewing, or fixing WinUI 3: sample and control discovery with winapp find-ui, layout planning, control choice, Fluent Design alignment, Light/Dark/High Contrast theming, typography, spacing, brushes, accessibility, and XAML data-binding design. Load before authoring new XAML, reviewing UI PRs…

microsoft/win-dev-skills · 119 tokens

winui-dev-workflow

Build and run workflow for WinUI 3 apps with WinApp CLI 0.6+ — project creation with winapp new, project-mode winapp run, BuildAndRun.ps1 analyzer integration, crash diagnosis, and prerequisites. Use when creating, building, running, or fixing build errors in a WinUI 3 project.

microsoft/win-dev-skills · 73 tokens

winui-packaging

MSIX packaging, code signing, and distribution for WinUI 3 apps — build for release, certificate generation (winapp cert generate), certificate trust, code signing (winapp sign), self-contained deployment, CI/CD with GitHub Actions, and Microsoft Store submission. Use when preparing for release, creating MSIX…

microsoft/win-dev-skills · 86 tokens

winui-session-report

Analyze the current or a recent agent session (GitHub Copilot CLI or Claude Code) and generate a diagnostic report. Use only when the user explicitly asks for session feedback, agent debugging, or a review of what happened during a build session. Do not inspect session data automatically.

microsoft/win-dev-skills · 61 tokens