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azure-content-safety

Expert knowledge for Content Safety in Foundry Control Plane development including troubleshooting, best practices, decision making, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when using Content Safety/Prompt Shields APIs, Docker containers, text blocklists, custom categories, 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 Speech in Foundry Tools (use azure-speech), Azure Security (use azure-securi

Published by MicrosoftDocs ↗MicrosoftDocs/Agent-Skills

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SKILL.md

name: azure-content-safetydescription: Expert knowledge for Content Safety in Foundry Control Plane development including troubleshooting, best practices, decision making, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when using Content Safety/Prompt Shields APIs, Docker containers, text blocklists, custom categories, 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 Speech in Foundry Tools (use azure-speech), Azure Security (use azure-security), Azure Sentinel (use azure-sentinel).compatibility: Requires network access. Uses mcp_microsoftdocs:microsoft_docs_fetch or fetch_webpage to retrieve documentation.metadata:   generated_at: "2026-11-01"  generator: "docs2skills/1.0.0"

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, 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
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.
Limits & QuotasL52-L59Limits, 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.
SecurityL60-L64Details on how Azure AI Content Safety encrypts data at rest, including encryption models, key management options, and compliance/security considerations.
ConfigurationL65-L71Configuring and running Azure AI Content Safety and Prompt Shields Docker containers, and setting up/using text blocklists to filter unsafe or disallowed content.
Integrations & Coding PatternsL72-L81Patterns and code samples for calling Content Safety/Prompt Shields APIs, defining custom categories, detecting groundedness, provenance, and multimodal (text/image/media) safety signals.
DeploymentL82-L87How to deploy and run Azure Content Safety text/image analysis containers on-premises with Docker, including setup, configuration, and runtime considerations.

Troubleshooting

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

Limits & Quotas

Security

Configuration

Integrations & Coding Patterns

Deployment