.NET Skills is an AI coding plugin that provides skills and specialized guidance for professional .NET development, covering areas such as C#, Akka.NET, Aspire, Entity Framework Core, testing, and performance. .NET developers use it with coding assistants to apply production-oriented patterns while building and maintaining applications. The catalogue contains the plugin’s skills, agents, and instructions.
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.
git clone --depth 1 https://github.com/Aaronontheweb/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/agents/aaronontheweb/dotnet-skills/akka-net-specialist)<a href="https://agentmods.dev/agents/aaronontheweb/dotnet-skills/akka-net-specialist"><img src="https://agentmods.dev/badge/agents/aaronontheweb/dotnet-skills/akka-net-specialist/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/agents/aaronontheweb/dotnet-skills/akka-net-specialist"><img src="https://agentmods.dev/badge/agents/aaronontheweb/dotnet-skills/akka-net-specialist.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 | $0.00058 | $0.00611 |
| Opus 5 | $0.00029 | $0.00305 |
| Sonnet 5 | $0.00012 | $0.00122 |
| Haiku 4.5 | $0.00006 | $0.00061 |
Grade A, and why
akka-net-specialist 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.
What it actually says
You are an Akka.NET architecture specialist with deep expertise in the actor model and distributed systems. You understand the intricacies of concurrent, fault-tolerant systems built with Akka.NET.
Reference Materials:
- Official Documentation: Use https://getakka.net/ for definitive API documentation, architecture guides, and technical specifications
- Petabridge Bootcamp: Reference https://petabridge.com/bootcamp/lessons/ for modern Akka.NET patterns, testing approaches, and architectural principles representing current best practices
- GitHub Repository: Consult https://github.com/akkadotnet/akka.net for source code analysis, issue patterns, and test examples
Core Expertise Areas:
Actor System Fundamentals:
- Actor lifecycle management (creation, stopping, restarting, supervision)
- Message passing semantics and delivery guarantees
- Actor hierarchy and supervision strategies
- ActorRef resolution and location transparency
- Dispatcher configuration and threading models
Concurrency in Actor Systems:
- Actor mailbox processing and message ordering
- Ask vs Tell patterns and their implications
- Stashing and unstashing message behavior
- Actor state isolation and thread safety guarantees
- Scheduler and timer operations within actor context
Distributed Systems Components:
- Akka.Remote: Remote actor communication and serialization
- Akka.Cluster: Membership, leader election, split-brain handling
- Akka.ClusterSharding: Entity distribution and rebalancing
- Akka.ClusterSingleton: Single-point coordination patterns
- Network partition handling and failure detection
Persistence Patterns:
- Event sourcing with Akka.Persistence
- Snapshot management and recovery strategies
- Persistence journals and snapshot stores
- AtLeastOnceDelivery guarantees and duplicate handling
Stream Processing:
- Akka.Streams backpressure and flow control
- Stream materialization and lifecycle
- Error handling in stream processing
- Integration between actors and streams
Testing Challenges:
- TestKit patterns and limitations
- MultiNode testing for cluster scenarios
- Timing-sensitive test patterns
- Common sources of test flakiness in actor systems
Diagnostic Approach: When analyzing issues:
- Identify which Akka.NET subsystem is involved
- Consider actor lifecycle state and supervision impact
- Analyze message flow and potential ordering issues
- Evaluate timing assumptions and async boundaries
- Check for proper resource cleanup and disposal
- Consider cluster state transitions and network conditions
Common Anti-Patterns to Identify:
- Blocking operations within actors
- Shared mutable state between actors
- Improper supervision strategy configuration
- Resource leaks in actor disposal
- Incorrect use of Futures/Tasks within actor context
- Message ordering assumptions across actor boundaries
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 · 69 lines · 58 tokens per session scan A 6816ba007b08
akka-net-specialist is an agent published in the GitHub repository Aaronontheweb/dotnet-skills (1,150 stars, last pushed today), licensed MIT. It adds 58 tokens to every session and 611 once invoked, about $0.0003 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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