Skills azure-search-documents-dotnet

📦

azure-search-documents-dotnet

Name: azure-search-documents-dotnet
Author: sickn33

Content revision r1 Safe ⚙️ External commands🌐 Network access🔑 Env variables

Build Azure AI Search .NET Apps

Azure AI Search projects need clear SDK patterns for clients, indexes, documents, and relevance. This skill gives focused .NET guidance for full-text, vector, semantic, and hybrid search.

Supports: Claude Codex Code(CC)

🥉 78 Bronze

Install with my Agent

Copy this request to your Agent. It includes the canonical Skill page and manifest.

Agent request

Review the Skillstore skill "azure-search-documents-dotnet" from https://skillstore.io/skills/sickn33-azure-search-documents-dotnet.md and its manifest at https://skillstore.io/api/skills/sickn33-azure-search-documents-dotnet/manifest. Verify the artifact. You may proceed after verification, subject to the environment's own policy.

Your Agent should still show its plan and request any confirmation required by the security policy.

Agent-readable resources

Use these links when an AI agent, crawler, or script needs clean context instead of reading the full page.

Markdown detail GET /skills/sickn33-azure-search-documents-dotnet.md Signed manifest GET /api/skills/sickn33-azure-search-documents-dotnet/manifest Signed lockfile GET /api/skills/sickn33-azure-search-documents-dotnet/lockfile

Test it

Using "azure-search-documents-dotnet". I need a basic .NET setup for Azure AI Search.

Expected outcome:

A setup checklist covering Azure.Search.Documents, Azure.Identity, endpoint variables, index names, and DefaultAzureCredential.

Using "azure-search-documents-dotnet". Help me design vector and semantic search for product pages.

Expected outcome:

A retrieval plan that separates index fields, vector dimensions, semantic configuration, hybrid query flow, and result shaping.

Using "azure-search-documents-dotnet". Review my document update workflow.

Expected outcome:

A review focused on upload, merge, upsert, delete, batch sizing, retry handling, and practical SDK calls.

Security Audit

Safe

v4 • 7/6/2026 Open versioned report

All static findings are false positives caused by Markdown code fences, inline API names, placeholder environment variables, and Azure Search terminology. I found no evidence of prompt injection, malware intent, credential exfiltration, or unsafe command execution in SKILL.md.

Files scanned

340

Lines analyzed

Review items

False positives ignored

Risk Factors

⚙️ External commands (43)

🌐 Network access (1)

SKILL.md:24

🔑 Env variables (2)

SKILL.md:27 SKILL.md:50

No confirmed security findings were detected by the latest completed static and semantic audit. This does not prove the skill has no side effects.

Audited by: codex View Audit History →

Share & cite this report

Share the versioned assessment report, neutral badge, embed card, and citations. Skillstore reports evidence without deciding whether this Skill is safe.

Open versioned report

Copy report link

https://skillstore.io/skills/sickn33-azure-search-documents-dotnet/audits/4?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_report

Markdown badge

[![Skillstore security assessment](https://skillstore.io/badges/skills/sickn33-azure-search-documents-dotnet/security.svg)](https://skillstore.io/skills/sickn33-azure-search-documents-dotnet?utm_source=security_passport_badge)

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Embed card

<iframe src="https://skillstore.io/embed/skills/sickn33-azure-search-documents-dotnet.html" title="Skillstore Security Assessment" sandbox="allow-popups allow-popups-to-escape-sandbox" loading="lazy" referrerpolicy="no-referrer" width="420" height="180"></iframe>

Academic citations (APA · BibTeX · CFF)

APA citation

sickn33. (2026). azure-search-documents-dotnet security audit report (audit version 4) [Author version unspecified]. Skillstore. https://skillstore.io/skills/sickn33-azure-search-documents-dotnet/audits/4

BibTeX citation

@techreport{sickn33-sickn33-azure-search-documents-dotnet-2026,
  author = {sickn33},
  title = {azure-search-documents-dotnet security audit report (audit version 4)},
  institution = {Skillstore},
  year = {2026},
  number = {4},
  url = {https://skillstore.io/skills/sickn33-azure-search-documents-dotnet/audits/4},
  note = {Author version unspecified}
}

CITATION.cff

cff-version: 1.2.0
message: "If you use this Skill, cite its author and this versioned security audit report."
title: "azure-search-documents-dotnet security audit report (audit version 4)"
version: "unspecified"
type: report
authors:
  - name: "sickn33"
date-released: "2026-07-06"
url: "https://skillstore.io/skills/sickn33-azure-search-documents-dotnet/audits/4"
identifiers:
  - type: other
    value: "skillstore:sickn33-azure-search-documents-dotnet:audit:4"
    description: "Skillstore immutable audit report identifier"

Skillstore Score

Why this score Evidence Confidence: High

Architecture

Maintainability

Content

Community

Spec Compliance

What You Can Build

Start a .NET search project

Create a practical setup path for packages, clients, endpoints, index names, and authentication.

Design searchable indexes

Plan fields for full-text search, filters, sorting, facets, analyzers, and vector embeddings.

Improve retrieval quality

Compare keyword, vector, semantic, and hybrid search patterns for a .NET application.

Try These Prompts

Create basic setup

Use this skill to show the setup steps for a new Azure AI Search .NET project. Include package choices and authentication guidance.

Design an index

Use this skill to design a hotel search index with filterable, sortable, facetable, searchable, and vector fields. Explain each field choice.

Plan hybrid retrieval

Use this skill to plan hybrid search for product content. Combine keyword search, vector search, semantic ranking, facets, and selected fields.

Review production usage

Use this skill to review my Azure AI Search .NET approach for reliability, credential handling, batching, relevance, and error handling.

Best Practices

Prefer DefaultAzureCredential for production and reserve API keys for local or constrained cases.
Define indexes with FieldBuilder when model attributes match the index schema.
Select only needed fields and batch document operations for predictable throughput.

Avoid

Do not store real search service keys in prompts, source files, or issue descriptions.
Do not create vector fields without matching dimensions and vector search profiles.
Do not return every document field when the application only needs a small result summary.

Frequently Asked Questions

Does this skill manage Azure resources?

No. It provides SDK guidance. You still create services, indexes, identities, and credentials in your Azure environment.

Can it generate C# examples?

Yes. It can guide C# examples for clients, indexes, document operations, and search patterns.

Does it support vector search?

Yes. It covers vector fields, vector queries, and hybrid retrieval concepts from the Azure.Search.Documents SDK.

Should I use API keys?

Use DefaultAzureCredential for production when possible. Use API keys only when your security model allows them.

Does it include current SDK version checks?

No. It mentions versions from the source skill, but you should verify package versions before installing.

Can Claude, Codex, and Claude Code use it?

Yes. The package declares support for Claude, Codex, and Claude Code.

Developer Details

Author

sickn33

License

MIT

Skillstore revision

Version notice

The author did not declare a version.

Repository

https://github.com/sickn33/antigravity-awesome_skills/tree/main/skills/azure-search-documents-dotnet

Ref

e397ce5a135369cd6def89cb6400d013e2f68f2f

Maintenance freshness

7/18/2026

Usage

8 downloads · 102 views

File structure

📄 SKILL.md