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.
npx skills add jonathan-vella/apex-accelerator --skill appinsights-instrumentationgit clone --depth 1 https://github.com/jonathan-vella/apex-acceleratorWrote 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.
[](https://agentmods.dev/skills/jonathan-vella/apex-accelerator/appinsights-instrumentation)<a href="https://agentmods.dev/skills/jonathan-vella/apex-accelerator/appinsights-instrumentation"><img src="https://agentmods.dev/badge/skills/jonathan-vella/apex-accelerator/appinsights-instrumentation/github.svg" alt="Measured on agentmods" height="20"></a>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.
<a href="https://agentmods.dev/skills/jonathan-vella/apex-accelerator/appinsights-instrumentation"><img src="https://agentmods.dev/badge/skills/jonathan-vella/apex-accelerator/appinsights-instrumentation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00061 | $0.00893 |
| Opus 5 | $0.00030 | $0.00447 |
| Sonnet 5 | $0.00012 | $0.00179 |
| Haiku 4.5 | $0.00006 | $0.00089 |
Grade A, and why
appinsights-instrumentation 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 11d 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.
This is a copy
89% identical to appinsights-instrumentation — 19 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 84 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AppInsights Instrumentation Guide
This skill provides guidance and reference material for instrumenting webapps with Azure Application Insights.
⛔ ADDING COMPONENTS?
If the user wants to add App Insights to their app, invoke azure-prepare instead. This skill provides reference material—azure-prepare orchestrates the actual changes.
When to Use This Skill
- User asks how to instrument (guidance, patterns, examples)
- User needs SDK setup instructions
- azure-prepare invokes this skill during research phase
- User wants to understand App Insights concepts
When to Use azure-prepare Instead
- User says "add telemetry to my app"
- User says "add App Insights"
- User wants to modify their project
- Any request to change/add components
Prerequisites
The app in the workspace must be one of these kinds
- An ASP.NET Core app hosted in Azure
- A Node.js app hosted in Azure
Guidelines
Collect context information
Find out the (programming language, application framework, hosting) tuple of the application the user is trying to add telemetry support in. This determines how the application can be instrumented. Read the source code to make an educated guess. Confirm with the user on anything you don't know. You must always ask the user where the application is hosted (e.g. on a personal computer, in an Azure App Service as code, in an Azure App Service as container, in an Azure Container App, etc.).
Prefer auto-instrument if possible
If the app is a C# ASP.NET Core app hosted in Azure App Service, use AUTO guide to help user auto-instrument the app.
Manually instrument
Manually instrument the app by creating the AppInsights resource and update the app's code.
Create AppInsights resource
Use one of the following options that fits the environment.
- Add AppInsights to existing Bicep template. See examples/appinsights.bicep for what to add. This is the best option if there are existing Bicep template files in the workspace.
- Use Azure CLI. See scripts/appinsights.ps1 for what Azure CLI command to execute to create the App Insights resource.
What ships with it
13 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.
- examples/appinsights.bicep 759 B
- LICENSE.txt 1.1 KB
- references/aspnetcore.md 1.7 KB
- references/auto.md 914 B
- references/nodejs.md 1.8 KB
- references/python.md 1.8 KB
- references/sdk/azure-monitor-opentelemetry-exporter-java.md 1.1 KB
- references/sdk/azure-monitor-opentelemetry-exporter-py.md 966 B
- references/sdk/azure-monitor-opentelemetry-py.md 883 B
- references/sdk/azure-monitor-opentelemetry-ts.md 991 B
- scripts/appinsights.ps1 3.0 KB runs code
- SKILL.digest.md 1.7 KB
- SKILL.minimal.md 364 B
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.
- 11d ago First seen · 84 lines · 61 tokens per session scan A aee3dee68897
appinsights-instrumentation is a skill published in the GitHub repository jonathan-vella/apex-accelerator (50 stars, last pushed 4d ago), licensed MIT. It adds 61 tokens to every session and 893 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 89% identical to appinsights-instrumentation, differing in 19 lines, and is treated as a copy.
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