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Azure Ai Contentsafety Ts

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-ts -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-typescript/skills/azure-ai-contentsafety-ts/SKILL.md
Scanned
2 files, 626 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 integrates Azure AI Content Safety, enabling your agent to detect and filter potentially harmful or inappropriate content. It assesses text for categories like hate speech, sexually suggestive content, violence, self-harm, and more, providing scores indicating the likelihood of each category being present. The skill allows you to define thresholds for filtering content based on these safety scores.

When to use it

  • Content Moderation: Automatically flag or block user-generated content (e.g., forum posts, chat messages) that violates community guidelines.
  • Safe Chatbot Interactions: Ensure chatbot responses and user inputs remain appropriate and avoid generating offensive or harmful language.
  • Protecting Vulnerable Users: Filter content in applications designed for children or individuals at risk of self-harm.
  • Compliance Requirements: Meet regulatory requirements related to content safety and responsible AI practices.

Key capabilities

  • Content Categorization: Detects hate speech, sexually suggestive content, violence, self-harm, threats, and more.
  • Safety Scoring: Provides numerical scores for each category indicating the likelihood of harmful content.
  • Customizable Thresholds: Allows defining specific thresholds to filter content based on safety scores.

Example prompts

  • "Analyze this text for potentially unsafe content: 'This is a test sentence.'"
  • "What's the hate speech score for this message: 'I disagree with their views.'"
  • "Filter out any responses with a violence score above 0.7."

Tips & gotchas

  • Requires an active Azure AI Content Safety resource and API key to function.
  • The accuracy of content detection depends on the quality and context of the input text.