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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.

Ver código fuente

Cómo usar

  1. Copia el comando y revisa el paquete antes de instalarlo en tu entorno de agente.
  2. Consulta las herramientas, credenciales y entornos necesarios en el documento original.
  3. Describe las entradas y el resultado deseado; contrasta la salida con las fuentes.
npx skills add https://github.com/microsoftdocs/agent-skills --skill azure-content-safety

Antes de empezar

  • La instalación no incluye suscripción al modelo, cuota API ni permisos sobre tus archivos.
  • Las estrellas e instalaciones reflejan actividad, no una prueba independiente de calidad o seguridad.
Documento original del Skill

Contenido del repositorio de origen con títulos, ejemplos, código, tablas, enlaces e imágenes preservados.

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

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