Azure SDK for .NET is a repository containing the actively developed C# libraries that applications use to work with Azure services. It is for .NET developers building software that connects to Azure storage, management, and other cloud services.
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.
npx skills add Azure/azure-sdk-for-net --skill azure-ai-projects-sample-matrixgit clone --depth 1 https://github.com/Azure/azure-sdk-for-netWrote 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.
[](https://agentmods.dev/skills/azure/azure-sdk-for-net/azure-ai-projects-sample-matrix)<a href="https://agentmods.dev/skills/azure/azure-sdk-for-net/azure-ai-projects-sample-matrix"><img src="https://agentmods.dev/badge/skills/azure/azure-sdk-for-net/azure-ai-projects-sample-matrix/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.
<a href="https://agentmods.dev/skills/azure/azure-sdk-for-net/azure-ai-projects-sample-matrix"><img src="https://agentmods.dev/badge/skills/azure/azure-sdk-for-net/azure-ai-projects-sample-matrix.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00017 | $0.00965 |
| Opus 5 | $0.00009 | $0.00483 |
| Sonnet 5 | $0.00003 | $0.00193 |
| Haiku 4.5 | $0.00002 | $0.00097 |
Grade A, and why
build-sample-matrix 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 11d 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.
How it starts
The opening of the file, as written. The whole thing — 37 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Repositary information.
The source code repositories and samples are organized in the following structure:
| Language | Repository | Samples | Notes |
|---|---|---|---|
| Python | https://github.com/Azure/azure-sdk-for-python.git | https://github.com/Azure/azure-sdk-for-python/blob/main/sdk/ai/azure-ai-projects/samples | All samples are organized by folders according to their topic. In most cases the sample has sync and async implementation. For example, feature.py and feature_async.py are demonstrating sync and async features. |
| C# | https://github.com/Azure/azure-sdk-for-net.git | https://github.com/Azure/azure-sdk-for-net/tree/main/sdk/ai/Azure.AI.Projects/tests/Samples, https://github.com/Azure/azure-sdk-for-net/tree/main/sdk/ai/Azure.AI.Extensions.OpenAI/tests/Samples, https://github.com/Azure/azure-sdk-for-net/tree/main/sdk/ai/Azure.AI.Projects.Agents/tests/Samples | C# sample consists of two parts: the source code in the folder /sdk/ai/<package_name>/tests/Samples and corresponding .md files go to /sdk/ai/<package_name>/Samples, where <package_name> is Azure.AI.Projects, Azure.AI.Extensions.OpenAI or Azure.AI.Projects.Agents |
| JavaScript | https://github.com/Azure/azure-sdk-for-js.git | https://github.com/Azure/azure-sdk-for-js/tree/main/sdk/ai/ai-projects/samples | The samples are split by two folders stable version (v2) and beta (v2-beta). Each of these folders contain samples for JavaScript and Typescript. Samples are further split by folders according to their topics. |
| Java | https://github.com/Azure/azure-sdk-for-java.git | https://github.com/Azure/azure-sdk-for-java/tree/main/sdk/ai/azure-ai-agents/src/samples/java/com/azure/ai/agents and https://github.com/Azure/azure-sdk-for-java/tree/main/sdk/ai/azure-ai-projects/src/samples | java code consists of two packagfes: azure-ai-projects and azure-ai-agents. Both of these projects contain samples, organized by folders according to their topics. |
Instruction
Please use Server github-mcp-server, analyze samples and build the sample matrix in an Markdown format for developers to create missing samples. Here is an example. Let us say we have two samples: "Agents CRUD" and "Agents with default projects". Foo is present only in Python an C# and Bar is present only in Java and JavaScript.
What ships with it
1 file 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.
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.
- 11d ago First seen · 37 lines · 17 tokens per session scan A 85e075448c42
build-sample-matrix is a skill published in the GitHub repository Azure/azure-sdk-for-net (6,050 stars, last pushed today), licensed MIT. It adds 17 tokens to every session and 965 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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