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Azure Ai Vision Imageanalysis Java

Listed
sickn33·vlatest·cloud·MIT

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

Repository

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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-vision-imageanalysis-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

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-ai-vision-imageanalysis-java/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

The Azure AI Vision Image Analysis skill enables Java-based AI agents to analyze images using the Azure Computer Vision service. It allows agents to extract detailed visual insights, such as identifying objects, detecting text, and describing image contents programmatically within a Java environment.

When to use it

  • Automating inventory checks by scanning product photos in e-commerce applications.
  • Implementing safety monitoring systems that detect hazardous objects or people in industrial settings.
  • Building accessibility tools that convert image content into descriptive text for visually impaired users.
  • Creating automated moderation filters for user-uploaded images on social platforms.

Key capabilities

  • Integrates with the Azure Computer Vision API via Java SDKs.
  • Performs object detection and classification within uploaded images.
  • Extracts handwritten or printed text using OCR (Optical Character Recognition).
  • Generates detailed captions and descriptions of image scenes.
  • Supports custom visual recognition models for specialized domains.

Example prompts

  • "Analyze this product image and list all visible features along with their estimated colors."
  • "Extract any text found in the attached invoice photo and format it as a JSON object."
  • "Describe the scene in this security camera snapshot, noting any people or vehicles present."

Tips & gotchas

Ensure your Java application has valid Azure credentials and appropriate permissions for the Computer Vision resource before execution. Image analysis accuracy may vary based on image resolution, lighting conditions, and clarity; low-quality inputs often yield less reliable results.