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Azure Search Documents Dotnet

Listed
sickn33·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 sickn33/agentic-awesome-skills --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

sickn33

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 failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.

  • Declares what it does: failed

    No SKILL.md was found in the skill's directory.

    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 sickn33/antigravity-awesome-skills at 5a4cdd9df8.

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

Commit
5a4cdd9df8
Manifest
skills/azure-search-documents-dotnet/SKILL.md
Scanned
0 files
Copies in repo
3 — all of them scanned
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 .NET. It allows agents to query, filter, and retrieve documents from an Azure search index programmatically, providing access to information stored within the index. The agent can then use this retrieved data for various tasks like answering questions or generating reports.

When to use it

  • Knowledge Base Retrieval: An agent needs to answer user questions based on a company's internal documentation stored in an Azure Cognitive Search index.
  • Product Information Lookup: An e-commerce agent retrieves product details (descriptions, prices, availability) from an Azure search index to respond to customer inquiries.
  • Report Generation: An agent gathers data from an Azure Cognitive Search index containing sales figures and generates a summary report.
  • Content Recommendations: An agent uses the skill to find similar documents within an Azure Cognitive Search index based on user preferences or current content being viewed.

Key capabilities

  • Querying Azure Cognitive Search indexes using .NET.
  • Filtering search results based on specified criteria.
  • Retrieving documents from the index.

Example prompts

  • "Find all documents in the 'product_catalog' index related to 'wireless headphones'."
  • "Retrieve the top 5 most recent articles from the 'news_archive' index."
  • "Search for documents containing the phrase 'customer support' and filter by date range between January 1, 2023, and March 31, 2023."

Tips & gotchas

  • Requires a valid Azure Cognitive Search service endpoint and API key to function correctly.
  • Familiarity with .NET programming concepts is beneficial for advanced usage and customization.