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Azure Ai Anomalydetector Java

Checked
sickn33·vlatest·cloud·MIT

Helps with Azure, AI, 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 sickn33/agentic-awesome-skills --skill azure-ai-anomalydetector-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

sickn33

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Install target

Live repository

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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

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    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-ai-anomalydetector-java/SKILL.md
Scanned
1 file, 243 lines
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 leverages the Azure AI Anomaly Detector Java library to identify unusual patterns in time series data. It can automatically detect anomalies without requiring historical data for training, and provides anomaly scores indicating the severity of deviations from expected behavior. The tool supports various time series types including numeric values, counts, and currencies.

When to use it

  • Real-time monitoring: Detect unexpected spikes or drops in website traffic, server load, or application performance metrics.
  • Financial analysis: Identify unusual trading patterns or fraudulent transactions in financial data streams.
  • Predictive maintenance: Flag potential equipment failures by analyzing sensor readings from industrial machinery.
  • Sales forecasting: Spot anomalies that deviate from expected sales trends and require further investigation.

Key capabilities

  • Automatic anomaly detection without training data
  • Anomaly scoring to quantify severity
  • Support for numeric, count, and currency time series
  • Java library integration

Example prompts

  • "Analyze this CSV file of server CPU usage and tell me if there are any anomalies."
  • "Detect anomalies in the following sequence of daily sales figures: [list of numbers]."
  • "What is the anomaly score for these hourly temperature readings?"

Tips & gotchas

  • Requires a valid Azure subscription to access the Anomaly Detector service.
  • The accuracy of anomaly detection depends on the quality and consistency of the input time series data.