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Azure Search Documents Dotnet

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-dotnet -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-dotnet/skills/azure-search-documents-dotnet/SKILL.md
Scanned
4 files, 1,108 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 allows AI agents to interact with Azure Cognitive Search using .NET. It enables the agent to retrieve documents from an Azure Search index, filter results based on specified criteria, and process retrieved data for various tasks like question answering or content summarization. The skill provides a programmatic interface for seamless integration within your AI agent workflows.

When to use it

  • Knowledge Base Retrieval: When you need to quickly find relevant documents from a large corpus of information stored in Azure Cognitive Search, such as company documentation or product catalogs.
  • Question Answering: To power an AI assistant that can answer questions based on content indexed within Azure Cognitive Search.
  • Content Summarization: When you want the agent to summarize articles or reports retrieved from your Azure Cognitive Search index.
  • Data Extraction: To extract specific data points from documents stored in Azure Cognitive Search and use them for reporting or analysis.

Key capabilities

  • Azure Cognitive Search integration
  • .NET programming language support
  • Document retrieval
  • Filtering of search results
  • Data processing

Example prompts

  • "Find all documents related to 'Project Phoenix' in the Azure Search index."
  • "Retrieve the top 5 most recent articles about 'cloud security'."
  • "Summarize the key findings from the document with the title 'Market Trends Report'."

Tips & gotchas

  • Requires an active Azure subscription and a configured Azure Cognitive Search service.
  • Ensure your AI agent has appropriate credentials to access your Azure Cognitive Search index.