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Azure Ai Contentsafety 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-contentsafety-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

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 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-contentsafety-java/SKILL.md
Scanned
1 file, 259 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 provides Java integration for Azure AI Content Safety. It allows you to programmatically assess text and images for potentially harmful or offensive content, such as hate speech, profanity, self-harm risk, sexually suggestive content, and violence. The assessment results are returned in a structured format suitable for automated decision-making within your applications.

When to use it

  • Content Moderation: Automatically filter user-generated content on forums or social media platforms.
  • Chatbot Safety: Ensure chatbot responses remain appropriate and avoid generating harmful outputs.
  • Image Analysis Pipeline: Integrate safety checks into image processing workflows to flag potentially inappropriate visuals.
  • Risk Assessment: Evaluate the risk level of text or images for compliance purposes or internal policy enforcement.

Key capabilities

  • Text content moderation assessment
  • Image content moderation assessment
  • Java integration
  • Automated harmful content detection

Example prompts

  • "Assess this text: 'This is a test sentence.'"
  • "Analyze the safety of this image [image data]."
  • "Evaluate the risk level associated with this user comment."

Tips & gotchas

  • Requires an Azure AI Content Safety resource and API key.
  • The accuracy of content assessment depends on the quality and context of the input data.