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Azure Ai Contentsafety Py

Checked
claudedjale·vlatest·cloud·MIT

Helps with Azure, AI 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-ai-contentsafety-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

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-python/skills/azure-ai-contentsafety-py/SKILL.md
Scanned
2 files, 427 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 provides access to Azure AI Content Safety, a service designed to detect potentially harmful or offensive text content. It allows you to analyze text for various categories of inappropriate content like hate speech, sexually suggestive language, and self-harm risk. The skill leverages Microsoft's pre-trained models to provide safety scores and classifications for submitted text.

When to use it

  • Content Moderation: Automatically flag potentially harmful user-generated content on a forum or social media platform.
  • Chatbot Safety: Ensure chatbot responses are safe and appropriate by filtering out generated content that violates your guidelines.
  • Code Generation Security: Analyze code snippets generated by AI models to identify potential security vulnerabilities or offensive comments.
  • Reviewing Generated Text: Evaluate the safety of text created by other AI tools before publishing it publicly.

Key capabilities

  • Text analysis for harmful content detection
  • Classification into categories like hate speech, sexually suggestive language, and self-harm risk.
  • Provides safety scores to quantify the level of concern.
  • Utilizes Microsoft's pre-trained models.

Example prompts

  • "Analyze this text: 'This is a test sentence.'"
  • "What are the safety concerns with this user comment: '[User Comment]'?"
  • "Give me the content safety classification for this paragraph: '[Paragraph of Text]'"

Tips & gotchas

  • Requires an Azure subscription and access to the AI Content Safety service.
  • The accuracy of the analysis depends on the quality and context of the input text.