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 Postpartum-genushyacinthus29/dotnet-skills --skill dotnet-semantic-kernelgit clone --depth 1 https://github.com/Postpartum-genushyacinthus29/dotnet-skillsWrote 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/postpartum-genushyacinthus29/dotnet-skills/dotnet-semantic-kernel)<a href="https://agentmods.dev/skills/postpartum-genushyacinthus29/dotnet-skills/dotnet-semantic-kernel"><img src="https://agentmods.dev/badge/skills/postpartum-genushyacinthus29/dotnet-skills/dotnet-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/postpartum-genushyacinthus29/dotnet-skills/dotnet-semantic-kernel"><img src="https://agentmods.dev/badge/skills/postpartum-genushyacinthus29/dotnet-skills/dotnet-semantic-kernel.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 | $0.00036 | $0.01954 |
| Opus 5 | $0.00018 | $0.00977 |
| Sonnet 5 | $0.00007 | $0.00391 |
| Haiku 4.5 | $0.00004 | $0.00195 |
Grade A, and why
dotnet-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 9d 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 — 287 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Semantic Kernel for .NET
Trigger On
- adding AI-driven prompts, plugins, or orchestration to a .NET app
- reviewing kernel construction, service registration, or plugin usage
- building function-calling patterns with LLMs
- migrating older Semantic Kernel code to current APIs
Documentation
- Semantic Kernel Overview
- Plugins and Functions
- Agent Functions
- GitHub Repository
- Microsoft Agent Framework
References
- patterns.md - Plugin patterns, function calling patterns, multi-agent patterns, prompt templates, and RAG patterns
- anti-patterns.md - Common Semantic Kernel mistakes and how to avoid them
Core Concepts
| Concept | Description |
|---|---|
| Kernel | Central orchestrator for AI services and plugins |
| Plugin | Collection of functions exposed to the LLM |
| Function | Native C# method or prompt template |
| Chat Completion | LLM service for generating responses |
| Memory | Vector storage for semantic search |
Workflow
- Build the Kernel with required services
- Create Plugins with well-described functions
- Configure Function Calling for automatic tool use
- Handle Responses and manage conversation state
- Test and Observe AI behavior with logging
Kernel Setup
Basic Configuration
var builder = Kernel.CreateBuilder();
builder.AddAzureOpenAIChatCompletion(
deploymentName: "gpt-4",
endpoint: config["AzureOpenAI:Endpoint"]!,
apiKey: config["AzureOpenAI:ApiKey"]!);
// Or OpenAI
builder.AddOpenAIChatCompletion(
modelId: "gpt-4",
apiKey: config["OpenAI:ApiKey"]!);
var kernel = builder.Build();
What ships with it
2 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.
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.
- 9d ago First seen · 287 lines · 36 tokens per session scan A b1c330997cb3
dotnet-semantic-kernel is a skill published in the GitHub repository Postpartum-genushyacinthus29/dotnet-skills (10 stars, last pushed 2d ago), licensed MIT. It adds 36 tokens to every session and 1,954 once invoked, about $0.0002 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 2026-09-03.
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