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Azure Search Documents Py

Checked
claudedjale·vlatest·cloud·MIT

Helps with Azure, search 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 azure-search-documents-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/azure-search-documents-py/SKILL.md
Scanned
7 files, 2,246 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.
What each check looks for →

About this skill

What it does

This skill enables AI agents to interact with Azure Cognitive Search using Python. It allows you to query, retrieve, and potentially manipulate data stored within an Azure Search index programmatically. This facilitates integrating search capabilities into automated workflows or providing more sophisticated information retrieval for AI-powered applications.

When to use it

  • Automated Data Extraction: Extract specific information from documents indexed in Azure Cognitive Search based on user queries.
  • Knowledge Base Integration: Build an AI assistant that can answer questions by searching a knowledge base stored within Azure Cognitive Search.
  • Content Enrichment: Automatically enrich content with metadata or related information retrieved from Azure Cognitive Search.
  • Data Analysis Pipelines: Incorporate search results into data analysis workflows to identify trends and insights.

Key capabilities

  • Python integration for Azure Cognitive Search.
  • Querying of indexed documents.
  • Retrieval of relevant search results.

Example prompts

  • "Search the 'product_catalog' index for items related to 'wireless headphones'."
  • "Retrieve all documents from the 'customer_feedback' index containing the phrase 'poor customer service'."
  • "Find articles in the 'technical_documentation' index that explain how to configure Azure Active Directory."

Tips & gotchas

  • Requires an active Azure subscription and a configured Azure Cognitive Search index.
  • Authentication with Azure may be necessary, potentially requiring environment variables or credentials.