> azure-content-safety

Expert knowledge for Azure AI Content Safety development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, and deployment. Use when using Content Safety APIs, Docker containers, blocklists, custom safety categories, or prompt shield, and other Azure AI Content Safety related development tasks. Not for Azure Security (use azure-security), Azure Defender For Cloud (use azure-defender-for-cloud), Azure Sentinel (use

fetch
$curl "https://skillshub.wtf/MicrosoftDocs/Agent-Skills/azure-content-safety?format=md"
SKILL.mdazure-content-safety

Azure AI Content Safety Skill

This skill provides expert guidance for Azure AI Content Safety. Covers troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, 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
TroubleshootingL36-L40Diagnosing and resolving Azure AI Content Safety API errors, including HTTP status codes, common failure causes, and recommended fixes or retries.
Best PracticesL41-L45Tuning Content Safety thresholds, categories, and prompts to reduce misclassifications, plus strategies to balance safety, recall, and user experience.
Decision MakingL46-L51Guidance 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 PatternsL52-L56Architectural guidance for combining cloud, hybrid, and on-device Azure AI Content Safety, including design patterns, deployment options, and integration strategies.
Limits & QuotasL57-L63Language coverage, building and training custom safety categories, and detecting protected/third‑party code in model outputs.
SecurityL64-L68Details on how Azure AI Content Safety encrypts data at rest, including encryption models, key management options, and compliance/security considerations.
ConfigurationL69-L73Configuring and using text blocklists in Azure AI Content Safety, including creating, managing, and applying custom blocked terms to filter harmful or unwanted content.
DeploymentL74-L80How 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
Check language support for Azure AI Content Safetyhttps://learn.microsoft.com/en-us/azure/ai-services/content-safety/language-support
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

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 use text blocklists in Content Safetyhttps://learn.microsoft.com/en-us/azure/ai-services/content-safety/how-to/use-blocklist

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
Install and run Azure Content Safety Docker containershttps://learn.microsoft.com/en-us/azure/ai-services/content-safety/how-to/containers/install-run-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

> related_skills --same-repo

> microsoft-foundry

Expert knowledge for Microsoft Foundry (aka Azure AI Foundry) development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when building Foundry agents with Azure OpenAI, vector search/RAG, Sora video, realtime audio, or MCP/LangChain APIs, and other Microsoft Foundry related development tasks. Not for Microsoft Foundry Classic (use microsoft-foundry-classic),

> microsoft-foundry-tools

Expert knowledge for Microsoft Foundry Tools (aka Azure AI services, Azure Cognitive Services) development including best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when using Content Understanding analyzers, Content Moderator APIs, Foundry containers, VNet/Key Vault security, or Entra auth, and other Microsoft Foundry Tools related development tasks. Not for Microsoft Foundry (use micr

> microsoft-foundry-local

Expert knowledge for Microsoft Foundry Local (aka Azure AI Foundry Local) development including troubleshooting, best practices, decision making, configuration, and integrations & coding patterns. Use when using Foundry Local CLI, chat/transcription APIs, tools, OpenAI/LangChain clients, or upgrading legacy SDKs, and other Microsoft Foundry Local related development tasks. Not for Microsoft Foundry (use microsoft-foundry), Microsoft Foundry Classic (use microsoft-foundry-classic), Microsoft Foun

> microsoft-foundry-classic

Expert knowledge for Microsoft Foundry Classic (aka Azure AI Foundry classic) development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when building Foundry agents with RAG, tools, evaluators, Azure OpenAI, VNet/Private Link, or CI/CD deployments, and other Microsoft Foundry Classic related development tasks. Not for Microsoft Foundry (use microsoft-foundry

┌ stats

installs/wk0
░░░░░░░░░░
github stars525
██████████
first seenMar 17, 2026
└────────────

┌ repo

MicrosoftDocs/Agent-Skills
by MicrosoftDocs
└────────────

┌ tags

└────────────