microsoftdocs/agent-skills

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.

소스 보기

사용 방법

  1. 설치 명령을 복사하고 자신의 에이전트 환경에 설치하기 전에 소스 패키지를 확인하세요.
  2. 필요한 도구, 인증 정보, 지원 환경은 원본 문서에서 확인하세요.
  3. 입력과 원하는 산출물을 설명하고 출처와 결과를 대조하세요.
npx skills add https://github.com/microsoftdocs/agent-skills --skill azure-content-safety

시작 전 확인

  • 설치에는 모델 구독, API 한도, 파일 접근 권한이 포함되지 않습니다.
  • 별점 수와 설치 수는 활동 지표이며 독립적인 품질·보안 검증이 아닙니다.
원본 Skill 문서

원본 저장소의 제목, 예시, 코드, 표, 링크, 이미지를 유지해 표시합니다.

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

관련 작업

같은 저장소의 Skills

더 많은 Skills

모든 Skills
microsoftdocs
커뮤니티

azure-repos

Expert knowledge for Azure Repos development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, and integrations & coding patterns. Use when managing Git/TFVC repos, branch policies/PR checks, TFVC→Git migrations, large files, or security scanning, and other Azure Repos related development tasks. Not for Azure DevOps (use azure-devops), Azure Pipelines (use azure-pipelines), Azure Boards (use azure-boards), Azure

설치 수
1
GitHub Stars
790
업데이트
10월 19일
microsoftdocs
커뮤니티

azure-monitor

Expert knowledge for Azure Monitor development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when configuring AMA/DCRs, Log Analytics workspaces, Application Insights, alerts, or Kusto (KQL) queries, and other Azure Monitor related development tasks. Not for Azure Network Watcher (use azure-network-watcher), Azure Resource Graph (use azure-resource-graph), A

설치 수
1
GitHub Stars
779
업데이트
10월 11일
microsoftdocs
커뮤니티

azure-rbac

Expert knowledge for Azure Role-based access control development including troubleshooting, best practices, decision making, limits & quotas, security, configuration, and integrations & coding patterns. Use when defining custom/built-in roles, ABAC conditions, deny assignments, PIM, or ARM/Bicep-based role automation, and other Azure Role-based access control related development tasks. Not for Azure Policy (use azure-policy), Azure Security (use azure-security), Azure Resource Manager (use azure

설치 수
2
GitHub Stars
777
업데이트
10월 5일
microsoftdocs
커뮤니티

azure-analysis-services

Expert knowledge for Azure Analysis Services development including troubleshooting. Use when resolving server connectivity, firewall/VNet, DNS, client connection, or network error issues, and other Azure Analysis Services related development tasks. Not for Azure Synapse Analytics (use azure-synapse-analytics), Azure SQL Database (use azure-sql-database), Azure SQL Managed Instance (use azure-sql-managed-instance), SQL Server on Azure Virtual Machines (use azure-sql-virtual-machines).

설치 수
1
GitHub Stars
777
업데이트
10월 5일