What is dotnet-microsoft-extensions-ai?

A guide to adding AI features to .NET applications through Microsoft’s shared interfaces, instead of tying the code to one AI provider. It covers chat, embeddings, tool calls, structured results, image generation, and vector search.

Use it to build .NET assistants and AI services, connect local or hosted models, add document search, define structured responses, or evaluate AI behavior.

It reduces rewrites when changing AI providers and gives common ways to add middleware, testing, caching, and telemetry around AI calls.

dotnet-microsoft-extensions-ai — Skill for Claude Code and Codex by Po

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent

npx skills add Postpartum-genushyacinthus29/dotnet-skills --skill dotnet-microsoft-extensions-ai

Clone the repo

git clone --depth 1 https://github.com/Postpartum-genushyacinthus29/dotnet-skills

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

README.md

[![agentmods](https://agentmods.dev/badge/skills/postpartum-genushyacinthus29/dotnet-skills/dotnet-microsoft-extensions-ai/github.svg)](https://agentmods.dev/skills/postpartum-genushyacinthus29/dotnet-skills/dotnet-microsoft-extensions-ai)

Your own site

<a href="https://agentmods.dev/skills/postpartum-genushyacinthus29/dotnet-skills/dotnet-microsoft-extensions-ai"><img src="https://agentmods.dev/badge/skills/postpartum-genushyacinthus29/dotnet-skills/dotnet-microsoft-extensions-ai/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

Your own site · 80×15

<a href="https://agentmods.dev/skills/postpartum-genushyacinthus29/dotnet-skills/dotnet-microsoft-extensions-ai"><img src="https://agentmods.dev/badge/skills/postpartum-genushyacinthus29/dotnet-skills/dotnet-microsoft-extensions-ai.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 42 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 2,326 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin 88% copy Near-identical to another mod in the catalogue.

Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

Model	Per session	Once invoked
Fable 5.1	$0.00042	$0.02326
Opus 5	$0.00021	$0.01163
Sonnet 5	$0.00008	$0.00465
Haiku 4.5	$0.00004	$0.00233

Measured 8d ago against content hash 1730cc03bd48, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

dotnet-microsoft-extensions-ai scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

This is a copy

88% identical to microsoft-extensions-ai — 24 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

skills/dotnet-microsoft-extensions-ai/SKILL.md · 116 lines

How it starts

The opening of the file, as written. The whole thing — 116 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Microsoft.Extensions.AI

Trigger On

building or reviewing .NET code that uses Microsoft.Extensions.AI, Microsoft.Extensions.AI.Abstractions, IChatClient, IEmbeddingGenerator, ChatOptions, or AIFunction
adding IImageGenerator, local-model chat via Ollama, AI app templates, or the .NET AI quickstarts for assistants and MCP
choosing between low-level AI abstractions, provider SDKs, vector-search composition, evaluation libraries, and a fuller agent framework
adding streaming chat, structured output, embeddings, tool calling, telemetry, caching, or DI-based AI middleware
wiring Microsoft.Extensions.VectorData, Microsoft.Extensions.DataIngestion, MCP tooling, or evaluation packages around a provider-agnostic AI app

Workflow

Classify the request first: plain model access, tool calling, embeddings/vector search, evaluation, image generation, local-model prototyping, MCP bootstrap, or true agent orchestration.
Default to Microsoft.Extensions.AI for application and service code that needs provider-agnostic chat, embeddings, middleware, structured output, and testability.
Reference Microsoft.Extensions.AI.Abstractions directly only when authoring provider libraries or lower-level reusable integration packages.
Model IChatClient and IEmbeddingGenerator composition explicitly in DI. Keep options, caching, telemetry, logging, and tool invocation inspectable in the pipeline.
Treat chat state deliberately. For stateless providers, resend history. For stateful providers, propagate ConversationId rather than assuming all providers behave the same way.
Use Microsoft.Extensions.VectorData and Microsoft.Extensions.DataIngestion as adjacent building blocks for RAG instead of hand-rolling store abstractions prematurely. Model ingestion as an explicit reader -> processor -> chunker -> writer pipeline when the document-preparation path matters.
Treat the .NET AI quickstarts as bootstrap paths, not finished architecture. They now cover minimal assistants, MCP client/server flows, local models, app templates, and image generation. Start there for a vertical slice, then harden the DI, telemetry, and evaluation story here.
Escalate to dotnet-microsoft-agent-framework when the requirement becomes agent threads, multi-agent orchestration, higher-order workflows, durable execution, or remote agent hosting.
Validate with real providers, realistic prompts, and evaluation gates so the abstraction layer actually buys portability and reliability.

Read the full file on GitHub · 116 lines

Files

What ships with it

52 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

8d ago First seen · 116 lines · 42 tokens per session scan A 1730cc03bd48

Subscribe to this mod's changes

dotnet-microsoft-extensions-ai is a skill published in the GitHub repository Postpartum-genushyacinthus29/dotnet-skills (10 stars, last pushed 2d ago), licensed MIT. It adds 42 tokens to every session and 2,326 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 88% identical to microsoft-extensions-ai, differing in 24 lines, and is treated as a copy.

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