云服务external-servicegithub未标认证来源可访问许可证需确认审计通过

azure-content-safety（Azure 内容 safety）

Agent Skill

用于辅助云资源、部署、容器、基础设施和运维自动化任务。它适合让 Agent 检查配置、整理部署步骤、分析资源状态、生成排障思路或辅助云服务接入。使用时需要明确目标环境、账号权限、区域和资源组，区分本地测试与生产操作；涉及删除资源、重启服务、修改网络或权限配置时，应先确认影响范围。

总安装

897

周安装

GitHub Stars

519

下载量

293

CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息，不托管安装包，也不代用户安装。

GitHub

来源数

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手，先确认命令和权限，再让它执行。

请帮我安装这个 Agent Skill：azure-content-safety（Azure 内容 safety）
来源仓库：https://github.com/microsoftdocs/agent-skills
仓库路径：skills/azure-content-safety
安装命令：
npx skills add https://github.com/microsoftdocs/agent-skills --skill azure-content-safety
安装前请先检查当前环境是否支持对应 CLI，并向我确认将要执行的命令、安装目录、联网范围和文件读写权限；确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill；本站只展示命令，不托管安装包，也不自动执行。

skills.shnpx skills

npx skills add https://github.com/microsoftdocs/agent-skills --skill azure-content-safety

简介

提供 Azure AI 内容安全服务的专业指导与故障排查能力。

适用于内容审核策略制定、敏感信息识别与安全集成场景。
支持架构设计、配额管理、安全配置与代码集成模式参考。
Agent 应通过分类索引定位具体技术章节进行查询。
本地内容与远程文档结合，确保信息时效性与准确性。azure-content-safety 属于云服务类 Skill，可作为该场景下的辅助能力补充。

SKILL.md

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, 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-L64	Language coverage, building and training custom safety categories, and detecting protected/third‑party code in model outputs.
Security	L65-L69	Details on how Azure AI Content Safety encrypts data at rest, including encryption models, key management options, and compliance/security considerations.
Configuration	L70-L74	Configuring and using text blocklists in Azure AI Content Safety, including creating, managing, and applying custom blocked terms to filter harmful or unwanted content.
Integrations & Coding Patterns	L75-L79	Using the groundedness detection API to check if AI responses are supported by source content, with request/response formats, parameters, and integration patterns
Deployment	L80-L86	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
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 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 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
Install and run Azure Content Safety Docker containers	https://learn.microsoft.com/en-us/azure/ai-services/content-safety/how-to/containers/install-run-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

适合场景

Azure 资源规划

云服务升级

基础设施检查

企业云环境自动化

能力概览

能力 1

整理 Azure 服务操作流程

能力 2

提示 CLI/MCP 前置条件

能力 3

辅助云资源检查和规划

能力 4

保留官方服务来源线索

安装后应在对应宿主中按原始 README 的触发条件使用；具体调用方式请以来源页面和 README 为准。

平台分布

Codex

38.15%

按下载量换算112

Claude

31.9%

按下载量换算93

Cursor

18.99%

按下载量换算56

Gemini CLI

8.95%

按下载量换算26

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

external-service

该 Skill 可能调用第三方服务、云服务或外部模型 API，使用前需要确认账号、额度、数据发送范围和服务条款。

安装前确认

本站仅展示第三方公开信息，不托管安装包，不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源，正式发布前建议补源仓库或其他目录站核验。

来源信息

GitHub 仓库

github.com

/microsoftdocs/agent-skills

SKILL.md 来源

github.com

/microsoftdocs/agent-skills/tree/main/skills/azure-content-safety

skills-sh

skills.sh

/microsoftdocs/agent-skills/azure-content-safety

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