instrumenting-azure-app-insights

instrumenting-azure-app-insights is a skill for Claude Code from alexpizarro/azure-lean-stack-skills. It costs 87 tokens per session (1,418 once invoked), scanned A, original, MIT.

A workflow for setting up Azure Application Insights, a service that collects application performance and error data, with a Log Analytics workspace behind it.

In plain words
What is it for?
Use it to add or migrate application monitoring, configure retention and sampling, set a daily quota, create alerts for server errors or HTTP 5xx spikes, and obtain the connection string for an app.
Why use it?
It adds monitoring while placing a daily data-ingestion limit to reduce unexpected logging costs and can configure alerts for serious failures.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: positional $N argument.

Part of the azure-lean-stack-skills plugin — 16 skills shipped together

Good fit Use it to add or migrate application monitoring, configure retention and sampling, set a daily quota, create alerts for server errors or HTTP 5xx spikes, and obtain the connection string for an app.

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Install with agentmods
npx agentmods add skills/alexpizarro/azure-lean-stack-skills/instrumenting-azure-app-insights
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.

Any agent
npx skills add alexpizarro/azure-lean-stack-skills --skill instrumenting-azure-app-insights
Clone the repo
git clone --depth 1 https://github.com/alexpizarro/azure-lean-stack-skills

Made for: Claude Code.

Or install azure-lean-stack-skills, the plugin that ships this one along with the rest of its 16 skills.

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 instrumenting-azure-app-insights

README.md
[![agentmods](https://agentmods.dev/badge/skills/alexpizarro/azure-lean-stack-skills/instrumenting-azure-app-insights/github.svg)](https://agentmods.dev/skills/alexpizarro/azure-lean-stack-skills/instrumenting-azure-app-insights)
Your own site
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Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for instrumenting-azure-app-insights

Your own site · 80×15
<a href="https://agentmods.dev/skills/alexpizarro/azure-lean-stack-skills/instrumenting-azure-app-insights"><img src="https://agentmods.dev/badge/skills/alexpizarro/azure-lean-stack-skills/instrumenting-azure-app-insights.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 87 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,418 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.00087 $0.01418
Opus 5 $0.00044 $0.00709
Sonnet 5 $0.00017 $0.00284
Haiku 4.5 $0.00009 $0.00142

Measured 12d ago against content hash 9878c02746db, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

instrumenting-azure-app-insights 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 12d ago.

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/instrumenting-azure-app-insights/SKILL.md · 183 lines

How it starts

The opening of the file, as written. The whole thing — 183 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Instrumenting Azure Application Insights

Workspace-based Application Insights with cost guardrails. Classic (non-workspace) App Insights is retiring, so this is the only forward-compatible setup.

When to invoke

  • Adding observability to a new project
  • Migrating off classic Application Insights
  • Setting up failure-rate alerts that page an owner
  • Auditing observability cost on an existing app

The two-resource setup

App Insights now sits on top of a Log Analytics workspace:

Log Analytics Workspace  ← cost guardrail lives here (dailyQuotaGb)
       ↑
       │  WorkspaceResourceId
       │
Application Insights component  ← what the SDK talks to
       ↑
       │  APPLICATIONINSIGHTS_CONNECTION_STRING
       │
Your app's instrumented SDK

Workspace owns:

  • Retention (retentionInDays: 30 default; max 730)
  • Daily quota cap (workspaceCapping.dailyQuotaGb: 1)
  • All actual data storage

App Insights component owns:

  • The connection string the SDK uses
  • Per-app filtering / sampling rules

Cost guardrail: dailyQuotaGb

The single most important setting. Without it, a runaway log loop can ingest 100+ GB and bill hundreds of dollars overnight.

resource workspace 'Microsoft.OperationalInsights/workspaces@2023-09-01' = {
  properties: {
    sku: { name: 'PerGB2018' }
    retentionInDays: 30
    workspaceCapping: { dailyQuotaGb: 1 }    // ← hard daily cap
  }
}

Rule of thumb:

  • Hobby / low-traffic: 1 GB/day cap (~$2/month at default rates)
  • Small SaaS: 5 GB/day cap
  • Production with structured logging: start at 5, monitor, raise as needed

Once the cap is hit, ingestion is paused for the rest of the UTC day. You'll lose log lines but not the bill.

Optional metric alerts

When alertEmail is non-empty, the module creates:

  1. Action Group — sends to the email (could be extended to SMS, webhook, etc.)
  2. 5xx alert — fires if requests/failed > 5 in any 15-min window
  3. Exceptions alert — fires if exceptions/server > 5 in any 15-min window

Read the full file on GitHub · 183 lines

Files

What ships with it

1 file 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. 12d ago First seen · 183 lines · 87 tokens per session scan A 9878c02746db

Subscribe to this mod's changes

instrumenting-azure-app-insights is a skill published in the GitHub repository alexpizarro/azure-lean-stack-skills (1 stars, last pushed 1mo ago), licensed MIT. It adds 87 tokens to every session and 1,418 once invoked, about $0.0004 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 2026-08-31.

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