Microsoft Agent Framework is a multi-language framework for building, coordinating, and running AI agents and workflows in Python and .NET. Teams use it for agent systems that need orchestration, collaboration, durability, observability, governance, or human involvement beyond a single prompt or chat loop. Catalogue add-ons provide skills and instructions for working with the framework.
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 microsoft/agent-framework --skill verify-dotnet-samplesgit clone --depth 1 https://github.com/microsoft/agent-frameworkWrote 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/microsoft/agent-framework/verify-dotnet-samples)<a href="https://agentmods.dev/skills/microsoft/agent-framework/verify-dotnet-samples"><img src="https://agentmods.dev/badge/skills/microsoft/agent-framework/verify-dotnet-samples/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/microsoft/agent-framework/verify-dotnet-samples"><img src="https://agentmods.dev/badge/skills/microsoft/agent-framework/verify-dotnet-samples.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Snyk pass
- 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 | $0.00040 | $0.00676 |
| Opus 5.5 | $0.00016 | $0.00270 |
| Sonnet 5.5 | $0.00008 | $0.00135 |
| Haiku 4.5 | $0.00004 | $0.00068 |
Grade A, and why
verify-dotnet-samples 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 1mo 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 — 83 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Verifying .NET Sample Projects
Sample Pre-requisites
We should only support verifying samples that:
- Use environment variables for configuration.
- Have no complex setup requirements, e.g., where multiple applications need to be run together, or where we need to launch a browser, etc.
Always report to the user which samples were run and which were not, and why.
Verifying a sample
Samples should be verified to ensure that they actually work as intended and that their output matches what is expected. For each sample that is run, output should be produced that shows the result and explains the reasoning about what output was expected, what was produced, and why it didn't match what the sample was expected to produce.
Steps to verify a sample:
- Read the code for the sample
- Check what environment variables are required for the sample
- Check if each environment variable has been set
- If there are any missing, give the user a list of missing environment variables to set and terminate
- Summarize what the expected output of the sample should be
- Run the sample
- Show the user any output from the sample run as it gets produced, so that they can see the run progress
- Check the output of the run against expectations
- After running all requested samples, produce output for each sample that was verified:
- If expectations were matched, output the following:
[Sample Name] Succeeded - If expectations were not matched, output the following:
[Sample Name] Failed Actual Output: [What the sample produced] Expected Output: [Explanation of what was expected and why the actual output didn't match expectations]
Environment Variables
Most samples use environment variables to configure settings.
var endpoint = Environment.GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT") ?? throw new InvalidOperationException("AZURE_OPENAI_ENDPOINT is not set.");
var deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-4o-mini";
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.
- 1mo ago First seen · 83 lines · 40 tokens per session scan A 71a4309ff9b8
verify-dotnet-samples is a skill published in the GitHub repository microsoft/agent-framework (14,148 stars, last pushed yesterday), licensed MIT. It adds 40 tokens to every session and 676 once invoked, about $0.0002 per session on Opus 5.5. 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.
Other skills, from other repositories
nw-fp-fsharp
F# language-specific patterns, Railway-Oriented Programming, and Computation Expressions.
qa-testing-nunit
Designs NUnit-based C# test suites for API, component, and integration coverage. Use when creating fixtures, wiring Testcontainers, or reducing flaky CI behavior.
rn-testing
This skill should be used when the user asks to "write a Maestro test", "create E2E flows", "add testIDs", "run UI tests", "run E2E tests", "verify a feature works", "test my screen", "set up maestro-runner", "mock network requests", "inspect store state", "write test assertions", or needs guidance on test timing…
capturing-proof
This skill should be used when the user asks to "capture proof", "record a demo of this feature", "make a video showing it works", "record the flow for the PR", "generate a PR body", "capture screenshots for the PR", "proof-capture", or when a verified feature needs PR-ready proof artifacts (video + numbered…
agents-md-checker
Checks which instruction files (AGENTS.md, CLAUDE.md, GEMINI.md, Cursor rules, Copilot instructions) each coding agent loads from a repo, what gets cut or skipped, and whether the commands those files document still work. Use when the user asks whether Claude Code, Codex, Gemini CLI, Cursor, OpenCode, Copilot, or…
harness-test-drive
Test-drives coding agents (Claude Code, Codex, Gemini CLI) on tasks mined from the user's own git history: each agent gets a past commit message in a fresh copy of the repo, and the repo's own tests score how many tasks it completes, dollars per task, minutes, and change size. Use when the user asks which coding agent…