📦 Azure AI Agents Py — Azure智能体开发

v0.1.0

基于 azure-ai-agents SDK 快速构建托管于 Azure AI Foundry 的 AI 智能体，内置 File Search、Code Interpreter、Bing Grounding、Azure AI Search、Function Calling、OpenAPI、MCP 等工具，支持线程管理、消息交互与流式响应，并提供向量存储能力，是低层 SDK，如需高层封装请用 agent-framework 技能。

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by @thegovind

云服务 AI模型访问智能体开发工具 API工具

下载技能包

最后更新

2026/4/22

安全扫描

VirusTotal

可疑

查看报告

OpenClaw

可疑

high confidence

The skill is coherent with an Azure Agents SDK how‑to, but the runtime instructions rely on Azure credentials and local file access that are not declared in the skill metadata — that mismatch and the implied privileged operations warrant caution.

评估建议

This skill is an instruction-only README for the Azure AI Agents Python SDK and appears to be legitimate documentation, but it asks you to use Azure credentials and to upload local files while the registry metadata declares no required environment variables. Before installing or invoking this skill: 1) verify the skill's source and provenance (author, repository) — this metadata lists an unknown source; 2) assume it will require PROJECT_ENDPOINT and MODEL_DEPLOYMENT_NAME plus Azure credentials v...

详细分析 ▾

ℹ 用途与能力

The name/description match the SKILL.md content: it's a usage guide for the azure-ai-agents Python SDK and shows how to create agents, threads, runs, upload files, and add tools. The requested capabilities (agent creation, tools, file uploads, vector stores) align with the stated purpose.

⚠ 指令范围

SKILL.md instructs code that reads environment variables (PROJECT_ENDPOINT, MODEL_DEPLOYMENT_NAME), uses DefaultAzureCredential (which can surface various credentials), and uploads local files (client.files.upload_and_poll with file_path). The skill metadata claims no required env vars or config paths, so the instructions ask the agent to access secret-bearing env vars and local files that are outside the declared scope.

✓ 安装机制

This is instruction-only with no install spec or downloaded code; nothing will be written to disk by an installer. That is the lower-risk install model.

⚠ 凭证需求

The SKILL.md relies on Azure authentication via DefaultAzureCredential and explicit env vars (PROJECT_ENDPOINT, MODEL_DEPLOYMENT_NAME) but the skill metadata lists no required environment variables or primary credential. DefaultAzureCredential can use AZURE_CLIENT_ID/AZURE_CLIENT_SECRET/AZURE_TENANT_ID, managed identity, or other local credentials — access to these secrets is high-privilege and should be explicitly declared and scoped.

✓ 持久化与权限

The skill is not always-enabled and does not request persistent/autonomous elevation (always: false). There is no installable code that alters other skills or global agent settings.

安全有层次，运行前请审查代码。

运行时依赖

无特殊依赖

版本

latestv0.1.02026/1/31

- Initial release of azure-ai-agents-py skill. - Provides a comprehensive guide for building AI agents using the Azure AI Agents Python SDK. - Includes installation steps, authentication setup, and core agent workflow examples. - Documents supported tools (File Search, Code Interpreter, Bing Grounding, Azure AI Search, Function Calling, OpenAPI, MCP) and integration patterns. - Covers advanced usage: streaming responses, file operations, vector store creation, async patterns, and response formatting. - Lists best practices and reference files for further learning.

● 可疑

安装命令

点击复制

官方npx clawhub@latest install azure-ai-agents-py

镜像加速npx clawhub@latest install azure-ai-agents-py --registry https://cn.longxiaskill.com

数据来源：ClawHub ↗ · 中文优化：龙虾技能库