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Azure Content Safety

Organization
MicrosoftDocs
azure-content-safety

Expert knowledge for Content Safety in Foundry Control Plane development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when using Content Safety APIs, Docker containers, text blocklists, media provenance, or groundedness checks, and other Content Safety in Foundry Control Plane related development tasks. Not for Azure Content Understanding in Foundry Tools (use azure-content-understanding), Azure Security (use azure-security), Azure Sentinel (use azure-sentinel), Azure Defender For Cloud (use azure-defender-for-cloud).

Overview

PublisherMicrosoftDocs
RepositoryAgent-Skills
Skill nameazure-content-safety
Stars
778
Forks
126
Bundled files
Instructions only
LicenseCC-BY-4.0
Links
Skill sourceRepositoryHomepage
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by MicrosoftDocs on GitHub. Read the source before you install it.

Installation

Install the Azure Content Safety AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/MicrosoftDocs/Agent-Skills/tree/main/skills/azure-content-safety
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/MicrosoftDocs/Agent-Skills.git /tmp/Agent-Skills
mkdir -p .claude/skills
cp -r /tmp/Agent-Skills/skills/azure-content-safety .claude/skills/azure-content-safety
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Azure Content Safety in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Azure Content Safety on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Azure Content Safety is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Content Safety in Foundry Control Plane Skill

This skill provides expert guidance for Content Safety in Foundry Control Plane. Covers troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. It combines local quick-reference content with remote documentation fetching capabilities.

How to Use This Skill

IMPORTANT for Agent: Use the Category Index below to locate relevant sections. For categories with line ranges (e.g., L35-L120), use read_file with the specified lines. For categories with file links (e.g., [security.md](security.md)), use read_file on the linked reference file

IMPORTANT for Agent: If metadata.generated_at is more than 3 months old, suggest the user pull the latest version from the repository. If mcp_microsoftdocs tools are not available, suggest the user install it: Installation Guide

This skill requires network access to fetch documentation content:

  • Preferred: Use mcp_microsoftdocs:microsoft_docs_fetch with query string from=learn-agent-skill. Returns Markdown.
  • Fallback: Use fetch_webpage with query string from=learn-agent-skill&accept=text/markdown. Returns Markdown.

Category Index

CategoryLinesDescription
TroubleshootingL37-L41Diagnosing and resolving Azure AI Content Safety API errors, including HTTP status codes, common failure causes, and recommended fixes or retries.
Best PracticesL42-L46Tuning Content Safety thresholds, categories, and prompts to reduce misclassifications, plus strategies to balance safety, recall, and user experience.
Decision MakingL47-L52Guidance on migrating apps from Content Safety preview to GA and deciding when and how to use limited-access Content Safety features and models.
Architecture & Design PatternsL53-L57Architectural guidance for combining cloud, hybrid, and on-device Azure AI Content Safety, including design patterns, deployment options, and integration strategies.
Limits & QuotasL58-L66Limits, quotas, and regional caps for Content Safety/Moderator (image & term lists, custom categories, code protected-material checks) and how to configure or stay within them.
SecurityL67-L71Details on how Azure AI Content Safety encrypts data at rest, including encryption models, key management options, and compliance/security considerations.
ConfigurationL72-L77Configuring Content Safety runtime via Docker containers and setting up/managing text blocklists to customize and enforce content filtering rules
Integrations & Coding PatternsL78-L83Using Content Safety APIs in code, including media provenance detection and groundedness checks, with request patterns, parameters, and integration examples.
DeploymentL84-L89How to install, configure, and run Azure AI Content Safety Docker containers for text, image, and prompt shield analysis in your own environment.

Troubleshooting

TopicURL
Resolve Azure AI Content Safety API error codeshttps://learn.microsoft.com/en-us/azure/ai-services/content-safety/concepts/response-codes

Best Practices

TopicURL
Reduce false positives and negatives in Content Safetyhttps://learn.microsoft.com/en-us/azure/ai-services/content-safety/how-to/improve-performance

Decision Making

TopicURL
Migrate apps from Content Safety preview to GAhttps://learn.microsoft.com/en-us/azure/ai-services/content-safety/how-to/migrate-to-general-availability
Decide when to use limited access Content Safety featureshttps://learn.microsoft.com/en-us/azure/ai-services/content-safety/limited-access

Architecture & Design Patterns

TopicURL
Design hybrid and on-device Content Safety solutionshttps://learn.microsoft.com/en-us/azure/ai-services/content-safety/how-to/embedded-content-safety

Limits & Quotas

TopicURL
Apply image list quotas in Content Moderatorhttps://learn.microsoft.com/en-us/azure/ai-services/content-moderator/image-lists-quickstart-dotnet
Understand Content Moderator image and term list limitshttps://learn.microsoft.com/en-us/azure/ai-services/content-moderator/samples-dotnet
Create and train custom categories with Content Safetyhttps://learn.microsoft.com/en-us/azure/ai-services/content-safety/quickstart-custom-categories
Use protected material detection for code outputshttps://learn.microsoft.com/en-us/azure/ai-services/content-safety/quickstart-protected-material-code
Review Azure AI Content Safety regional limitshttps://learn.microsoft.com/en-us/azure/ai-services/content-safety/region-availability

Security

TopicURL
Understand data-at-rest encryption in Content Safetyhttps://learn.microsoft.com/en-us/azure/ai-services/content-safety/how-to/encrypt-data-at-rest

Configuration

TopicURL
Configure and run Azure AI Content Safety Docker containershttps://learn.microsoft.com/en-us/azure/ai-services/content-safety/how-to/containers/install-run-container
Configure and use text blocklists in Content Safetyhttps://learn.microsoft.com/en-us/azure/ai-services/content-safety/how-to/use-blocklist

Integrations & Coding Patterns

TopicURL
Use Content Provenance Detection API for mediahttps://learn.microsoft.com/en-us/azure/ai-services/content-safety/how-to/how-to-provenance-detection
Use Azure AI Content Safety groundedness detection APIhttps://learn.microsoft.com/en-us/azure/ai-services/content-safety/quickstart-groundedness

Deployment

TopicURL
Deploy image analysis Content Safety container with Dockerhttps://learn.microsoft.com/en-us/azure/ai-services/content-safety/how-to/containers/image-container
Run Prompt Shields Content Safety container for prompt attackshttps://learn.microsoft.com/en-us/azure/ai-services/content-safety/how-to/containers/prompt-shields-container
Deploy text analysis Content Safety container with Dockerhttps://learn.microsoft.com/en-us/azure/ai-services/content-safety/how-to/containers/text-container

Frequently asked questions

What does the Azure Content Safety AI skill do?

Expert knowledge for Content Safety in Foundry Control Plane development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when using Content Safety APIs, Docker containers, text blocklists, media provenance, or groundedness checks, and other Content Safety in Foundry Control Plane related development tasks. Not for Azure Content Understanding in Foundry Tools (use azure-content-understanding), Azure Security (use azure-security), Azure Sentinel (use azure-...

Why use Azure Content Safety on TypingMind?

Because you install it once and use it with any model. Azure Content Safety is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Azure Content Safety in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/MicrosoftDocs/Agent-Skills/tree/main/skills/azure-content-safety. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Azure Content Safety?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Azure Content Safety?

As many as you like. As long as a model supports skills, you can use Azure Content Safety with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Azure Content Safety AI skill free?

Yes. It is published on GitHub by MicrosoftDocs under the CC-BY-4.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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