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

Category	Lines	Description
Troubleshooting	L37-L41	Diagnosing and resolving Azure AI Content Safety API errors, including HTTP status codes, common failure causes, and recommended fixes or retries.
Best Practices	L42-L46	Tuning Content Safety thresholds, categories, and prompts to reduce misclassifications, plus strategies to balance safety, recall, and user experience.
Decision Making	L47-L52	Guidance 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 Patterns	L53-L57	Architectural guidance for combining cloud, hybrid, and on-device Azure AI Content Safety, including design patterns, deployment options, and integration strategies.
Limits & Quotas	L58-L66	Image/term list limits and quotas in Content Moderator, language support for Content Safety, training custom categories, and detecting protected code in generated outputs.
Security	L67-L71	Details on how Azure AI Content Safety encrypts data at rest, including encryption models, key management options, and compliance/security considerations.
Configuration	L72-L77	Configuring Content Safety runtime via Docker containers and setting up/managing text blocklists to customize and enforce content filtering rules
Integrations & Coding Patterns	L78-L83	Using Content Safety APIs in code, including media provenance detection and groundedness checks, with request patterns, parameters, and integration examples.
Deployment	L84-L89	How to install, configure, and run Azure AI Content Safety Docker containers for text, image, and prompt shield analysis in your own environment.

Troubleshooting

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

Best Practices

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

Decision Making

Topic	URL
Migrate apps from Content Safety preview to GA	https://learn.microsoft.com/en-us/azure/ai-services/content-safety/how-to/migrate-to-general-availability
Decide when to use limited access Content Safety features	https://learn.microsoft.com/en-us/azure/ai-services/content-safety/limited-access

Architecture & Design Patterns

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

Limits & Quotas

Topic	URL
Apply image list quotas in Content Moderator	https://learn.microsoft.com/en-us/azure/ai-services/content-moderator/image-lists-quickstart-dotnet
Understand Content Moderator image and term list limits	https://learn.microsoft.com/en-us/azure/ai-services/content-moderator/samples-dotnet
Check language support for Azure AI Content Safety	https://learn.microsoft.com/en-us/azure/ai-services/content-safety/language-support
Create and train custom categories with Content Safety	https://learn.microsoft.com/en-us/azure/ai-services/content-safety/quickstart-custom-categories
Use protected material detection for code outputs	https://learn.microsoft.com/en-us/azure/ai-services/content-safety/quickstart-protected-material-code

Security

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

Configuration

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

Integrations & Coding Patterns

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

Deployment

Topic	URL
Deploy image analysis Content Safety container with Docker	https://learn.microsoft.com/en-us/azure/ai-services/content-safety/how-to/containers/image-container
Run Prompt Shields Content Safety container for prompt attacks	https://learn.microsoft.com/en-us/azure/ai-services/content-safety/how-to/containers/prompt-shields-container
Deploy text analysis Content Safety container with Docker	https://learn.microsoft.com/en-us/azure/ai-services/content-safety/how-to/containers/text-container