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 joslat/maf-doctor --skill maf-from-semantic-kernelgit clone --depth 1 https://github.com/joslat/maf-doctorWrote 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/joslat/maf-doctor/maf-from-semantic-kernel)<a href="https://agentmods.dev/skills/joslat/maf-doctor/maf-from-semantic-kernel"><img src="https://agentmods.dev/badge/skills/joslat/maf-doctor/maf-from-semantic-kernel/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/joslat/maf-doctor/maf-from-semantic-kernel"><img src="https://agentmods.dev/badge/skills/joslat/maf-doctor/maf-from-semantic-kernel.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00109 | $0.01717 |
| Opus 5 | $0.00055 | $0.00859 |
| Sonnet 5 | $0.00022 | $0.00343 |
| Haiku 4.5 | $0.00011 | $0.00172 |
Grade A, and why
maf-from-semantic-kernel 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 10d 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.
Semantic Kernel → MAF — Migration Navigator
The full mapping is at docs/migration/from-semantic-kernel-to-maf.md (also served at maf://migrate-from?source=semantic-kernel when the MCP server is running).
This SKILL.md is the index — find the construct you're porting, read its strategy, then read that section of the guide. Migrate side-by-side: build a new MAF project beside the original SK project; never edit the SK code until the user switches over.
This is a cross-framework migration, not a version upgrade. For "upgrade MAF 1.x → 1.y" use
maf-migration-guideinstead.
Strategy legend
| Tag | Meaning | Do this |
|---|---|---|
| 🌉 bridge | Reuse the SK code as-is via an interop shim. | Lowest risk — prefer it. Keep the SK asset, wrap it. |
| 🔁 rewrite | Mechanical SK→MAF API swap (1:1 target). | Follow the guide's before/after. |
| 🏗 re-architect | No 1:1 mapping — redesign onto MAF workflows / providers. | Needs judgment — propose, confirm, then build. |
Construct → MAF target → strategy (the lookup)
| SK construct | MAF target | Strategy | Guide § |
|---|---|---|---|
Kernel / IKernelBuilder |
removed — create the agent straight from the chat client | 🔁 | 2 |
ChatCompletionAgent |
chatClient.AsAIAgent(instructions:, tools:) → ChatClientAgent |
🔁 | 2 |
AzureAIAgent / OpenAIAssistantAgent |
aiProjectClient.AsAIAgent(...) / assistantClient.CreateAIAgentAsync(...) |
🔁 | 2 |
IChatCompletionService |
bridge .AsChatClient() → IChatClient, or a provider IChatClient |
🌉 | 11 |
[KernelFunction] plugin |
bridge KernelFunction.AsAIFunction(), or a plain [Description] method in tools: |
🌉 | 5 / 8 |
KernelPlugin / KernelPluginFactory |
no plugin concept — pass methods to tools: |
🌉 / 🔁 | 5 |
AgentThread / *AgentThread |
await agent.CreateSessionAsync() → AgentSession |
🔁 | 3 / 4 |
InvokeAsync / InvokeStreamingAsync (agent) |
RunAsync / RunStreamingAsync → AgentResponse / AgentResponseUpdate |
🔁 | 6 / 7 |
kernel.InvokeAsync(fn) (function) |
call the tool directly, or rely on automatic function-calling | 🔁 | 5 |
KernelArguments / AgentInvokeOptions / *PromptExecutionSettings |
ChatOptions / ChatClientAgentRunOptions |
🔁 | 9 |
Structured output (responseFormat) |
ChatResponseFormat.ForJsonSchema<T>() or typed RunAsync<T> |
🔁 | "Beyond the official page" |
ChatHistory |
ChatHistoryProvider / InMemoryChatHistoryProvider / await agent.SerializeSessionAsync(session) (async — the sync SerializeSession is gone on 1.3.0+) |
🔁 | "Beyond the official page" |
Function-invocation filters (IFunctionInvocationFilter, …) |
agent middleware via .AsBuilder().Use(...) |
🔁 | "Beyond the official page" |
AddOpenTelemetry (kernel-level) |
.UseOpenTelemetry() on the IChatClient chain |
🔁 | "Beyond the official page" |
AgentGroupChat |
a MAF group-chat workflow (AgentWorkflowBuilder.CreateGroupChatBuilderWith) |
🏗 | "Multi-agent" |
Planners (FunctionCallingStepwisePlanner, HandlebarsPlanner, …) |
removed — automatic function-calling loop | 🏗 | "Multi-agent" |
Prompt templates (KernelPromptTemplate, Handlebars/Liquid, KernelFunctionFromPrompt) |
render externally → pass as instructions, or a Context Provider |
🏗 | "Beyond the official page" |
Vector stores / RAG (IVectorStore, ITextSearch, …) |
TextSearchProvider via AIContextProviders |
🏗 | "Beyond the official page" |
| Hand-rolled memory injection | an AIContextProvider (no SK type — find it by reading the code) |
🏗 | "Beyond the official page" |
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.
- 10d ago First seen · 83 lines · 109 tokens per session scan A b371ae6ebbfa
maf-from-semantic-kernel is a skill published in the GitHub repository joslat/maf-doctor (14 stars, last pushed 23d ago), licensed MIT. It adds 109 tokens to every session and 1,717 once invoked, about $0.0005 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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