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 agentmods add agents/managedcode/dotnet-skills/custom-agentsgit clone --depth 1 https://github.com/managedcode/dotnet-skillsWhat 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 | $0.00011 | $0.03746 |
| Opus 5 | $0.00005 | $0.01873 |
| Sonnet 5 | $0.00002 | $0.00749 |
| Haiku 4.5 | $0.00001 | $0.00375 |
Grade A, and why
custom-agents 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 yesterday.
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 — 470 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Custom Agents
::: zone pivot="programming-language-csharp"
Microsoft Agent Framework supports building custom agents by inheriting from the AIAgent class and implementing the required methods.
This article shows how to build a simple custom agent that parrots back user input in upper case. In most cases building your own agent will involve more complex logic and integration with an AI service.
Getting Started
Add the required NuGet packages to your project.
dotnet add package Microsoft.Agents.AI.Abstractions --prerelease
Create a Custom Agent
The Agent Session
To create a custom agent you also need a session, which is used to keep track of the state of a single conversation, including message history, and any other state the agent needs to maintain.
To make it easy to get started, you can inherit from various base classes that implement common session storage mechanisms.
InMemoryAgentSession- stores the chat history in memory and can be serialized to JSON.ServiceIdAgentSession- doesn't store any chat history, but allows you to associate an ID with the session, under which the chat history can be stored externally.
For this example, you'll use the InMemoryAgentSession as the base class for the custom session.
internal sealed class CustomAgentSession : InMemoryAgentSession
{
internal CustomAgentSession() : base() { }
internal CustomAgentSession(JsonElement serializedSessionState, JsonSerializerOptions? jsonSerializerOptions = null)
: base(serializedSessionState, jsonSerializerOptions) { }
}
The Agent class
Next, create the agent class itself by inheriting from the AIAgent class.
internal sealed class UpperCaseParrotAgent : AIAgent
{
}
Constructing sessions
Sessions are always created via two factory methods on the agent class. This allows for the agent to control how sessions are created and deserialized. Agents can therefore attach any additional state or behaviors needed to the session when constructed.
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.
- yesterday First seen · 470 lines · 11 tokens per session scan A 8ad9e51d18fd
custom-agents is an agent published in the GitHub repository managedcode/dotnet-skills (477 stars, last pushed 2d ago), licensed MIT. It adds 11 tokens to every session and 3,746 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.
Other agents, from other repositories
observability
Prometheus-metrikker, OpenTelemetry-tracing, Grafana-dashboards og varsling.
research-agent
Utforsker kodebaser, undersøker problemer og samler kontekst før implementering.
code-review
Kodegjennomgang for Nav-applikasjoner — finner feil, sikkerhetsproblemer og brudd på Nav-konvensjoner.
rust-agent
Idiomatisk Rust-utvikling med cargo, clippy, error handling, async/tokio, unsafe og testing.
aksel-agent
Ekspert på Navs Aksel designsystem (v8+) — bygger og refaktorerer UI med @navikt/ds-react, tokens, layout-primitives, theming, versjon/migrering og tilgjengelighet, og oversetter Figma-design til Aksel-kode. Drevet av aksel-builder-skillen og Aksel MCP som fasit.
MAF Migration Agent
Use when migrating a .NET codebase to Microsoft Agent Framework (MAF) 1.3.0. Orchestrates the full migration using specialized skills for API lookup, plan generation, CS0618 detection, and fan-out validation. Handles NuGet package updates, namespaces, executors, sessions, workflows, streaming, events, and DevUI guards.