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Instrument applications with Azure Monitor and OpenTelemetry for JavaScript (@azure/monitor-opentelemetry).
Passed 20 of 22 test cases with the skill, and 13 of 22 without it.
and 6 more in the full report
8 fixed12 passed either way1 still failing1 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 8 test cases the skill fixed. Same model, same prompt, with and without the skill.
How should package.json start scripts be configured for Node.js 18.19+ ESM projects using Azure Monitor OpenTelemetry auto-instrumentation?
| Checked | Without skill | With skill |
|---|---|---|
| The start script uses node --import @azure/monitor-opentelemetry/loader ./dist/index.js | Missed | Passed |
| The module loader flag specifies the package loader subpath instead of require hooks | Missed | Passed |
The instructions your model reads when the skill loads.
Auto-instrument Node.js applications with distributed tracing, metrics, and logs.
# Distro (recommended - auto-instrumentation)
npm install @azure/monitor-opentelemetry
# Low-level exporters (custom OpenTelemetry setup)
npm install @azure/monitor-opentelemetry-exporter
# Custom logs ingestion
npm install @azure/monitor-ingestion
APPLICATIONINSIGHTS_CONNECTION_STRING=InstrumentationKey=...;IngestionEndpoint=...
AZURE_TOKEN_CREDENTIALS=prod # Required only if DefaultAzureCredential is used in production
IMPORTANT: Call useAzureMonitor() BEFORE importing other modules.
import { useAzureMonitor } from "@azure/monitor-opentelemetry";
useAzureMonitor({
azureMonitorExporterOptions: {
connectionString: process.env.APPLICATIONINSIGHTS_CONNECTION_STRING
}
});
// Now import your application
import express from "express";
const app = express();
test cases passed, vs 13 / 22 without
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