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Azure Monitor Ingestion Java

Checked
claudedjale·vlatest·cloud·MIT

Helps with Azure, monitoring, Java as part of deploying and managing cloud infrastructure workflows.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add claudedjale/skillset --skill azure-monitor-ingestion-java -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

claudedjale

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned claudedjale/skillset at 154f146735.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
154f146735
Manifest
.github/plugins/azure-sdk-java/skills/azure-monitor-ingestion-java/SKILL.md
Scanned
3 files, 592 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

This skill enables AI agents to ingest data into Azure Monitor using Java. It facilitates sending custom logs and metrics to Azure for monitoring, analysis, and alerting purposes. The skill provides a mechanism to structure and transmit data in a format compatible with Azure's ingestion pipelines.

When to use it

  • You need to monitor application performance beyond standard system metrics.
  • You want to centralize log collection from Java-based applications into Azure Monitor.
  • You are building custom dashboards or alerts based on application-specific data in Azure.
  • You require programmatic control over the data sent to Azure Monitor for specific events.

Key capabilities

  • Java integration for Azure Monitor ingestion
  • Custom log and metric support
  • Data formatting for Azure compatibility
  • Programmatic data transmission

Example prompts

  • "Send this error message 'Connection refused' with severity 'Error' to Azure Monitor."
  • "Log the average response time of 250ms as a custom metric named 'API Response Time'."
  • "Ingest these application logs into Azure Monitor, tagging them with environment='production'."

Tips & gotchas

  • Requires familiarity with Java programming and Azure Monitor concepts.
  • Ensure your Azure subscription has sufficient capacity for the ingested data volume.