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Agent Framework Azure Ai Py

Checked
claudedjale·vlatest·cloud·MIT

Helps with Azure, AI as part of deploying and managing cloud infrastructure workflows.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add claudedjale/skillset --skill agent-framework-azure-ai-py -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

claudedjale

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned claudedjale/skillset at 154f146735.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
154f146735
Manifest
.github/plugins/azure-sdk-python/skills/agent-framework-azure-ai-py/SKILL.md
Scanned
6 files, 1,844 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
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About this skill

What it does

This skill provides a framework for building AI agents leveraging Azure OpenAI services and Python. It simplifies the integration of large language models (LLMs) with other tools and data sources within an Azure environment. The framework facilitates creating conversational agents capable of performing tasks like summarizing documents, answering questions based on provided context, and interacting with external APIs.

When to use it

  • Building a chatbot for customer support: Integrate the skill to create a bot that can answer common FAQs and guide users through troubleshooting steps using Azure OpenAI's capabilities.
  • Automating document processing: Use the framework to build an agent that summarizes lengthy reports or extracts key information from contracts stored in Azure Blob Storage.
  • Creating a virtual assistant for data analysis: Develop an agent that can query data stored in Azure SQL Database and generate insights based on user prompts, leveraging LLMs for natural language interaction.
  • Developing agents interacting with custom APIs: The framework enables connecting to your own APIs hosted within Azure or elsewhere.

Key capabilities

  • Azure OpenAI integration
  • Python-based development
  • Framework for building AI agents
  • Integration with other Azure services (e.g., Blob Storage, SQL Database)
  • API interaction support

Example prompts

  • "Summarize the contents of this document: [document content]"
  • "Answer the following question based on this context: [context] Question: [question]"
  • "Execute API call to [API endpoint] with parameters: [parameters]"

Tips & gotchas

  • Requires an active Azure subscription and access to Azure OpenAI services.
  • Familiarity with Python programming is necessary for customizing the agent's behavior and integrating it with other systems.