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Azure Monitor Ingestion Py

Listed
sickn33·vlatest·cloud·MIT

Helps with Azure, monitoring 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 sickn33/agentic-awesome-skills --skill azure-monitor-ingestion-py -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

sickn33

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 failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.

  • Declares what it does: failed

    No SKILL.md was found in the skill's directory.

    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 sickn33/antigravity-awesome-skills at 5a4cdd9df8.

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

Commit
5a4cdd9df8
Manifest
skills/azure-monitor-ingestion-py/SKILL.md
Scanned
0 files
Copies in repo
3 — all of them scanned
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 allows AI agents to ingest data into Azure Monitor using Python. It leverages the Azure SDK for Python, enabling programmatic interaction with Azure services. Specifically, it can send custom metrics and logs to your Azure Log Analytics workspace for analysis and monitoring purposes.

When to use it

  • Automated Monitoring: Automatically collect application performance metrics and log them in Azure Monitor for troubleshooting.
  • Custom Metrics Reporting: Send specific business or operational metrics that aren't captured by standard Azure services.
  • Log Aggregation: Centralize logs from various sources into a single location within Azure Monitor.
  • Real-time Analytics: Enable near real-time analysis of data ingested into Azure Monitor using Log Analytics queries.

Key capabilities

  • Ingestion of custom metrics to Azure Monitor.
  • Sending log events to Azure Monitor.
  • Utilizes the Azure SDK for Python.
  • Integration with Azure Log Analytics workspaces.

Example prompts

  • "Send a metric named 'order_processing_time' with value 12.5 seconds to my Azure Monitor workspace."
  • "Log an error message 'Failed to connect to database' with severity level 'Error' into Azure Monitor."
  • “Ingest this log event: ‘User logged in successfully’ to the Log Analytics workspace named 'my-workspace'."

Tips & gotchas

  • Requires appropriate Azure credentials and permissions for accessing your Azure subscription.
  • Ensure you have a valid Azure Log Analytics workspace configured before using the skill.