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 adonai-labs/agent-runway --skill skill-dotnet-coregit clone --depth 1 https://github.com/adonai-labs/agent-runwayWrote 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/adonai-labs/agent-runway/skill-dotnet-core)<a href="https://agentmods.dev/skills/adonai-labs/agent-runway/skill-dotnet-core"><img src="https://agentmods.dev/badge/skills/adonai-labs/agent-runway/skill-dotnet-core/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/adonai-labs/agent-runway/skill-dotnet-core"><img src="https://agentmods.dev/badge/skills/adonai-labs/agent-runway/skill-dotnet-core.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 | $0.00120 | $0.00855 |
| Opus 5 | $0.00060 | $0.00428 |
| Sonnet 5 | $0.00024 | $0.00171 |
| Haiku 4.5 | $0.00012 | $0.00085 |
Grade A, and why
dotnet-core 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 6d 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 — 76 lines — stays where its author put it; the contents beside it link to each section on GitHub.
.NET Core
How to invoke
After agent-runway add dotnet, the skill is installed at .cursor/skills/dotnet-core/. Use:
- Cursor:
@dotnet-coreor ask a .NET question while editing*.cs(rules auto-attach) - Claude Code: reference
.agent-runway/skills/dotnet-core/SKILL.mdor ask in context of C# files
Examples:
- How should I structure this CQRS handler?
- Is this EF Core query likely to cause N+1?
- How do I test this application service?
- How do I add structured logging with correlation here?
Not sure which skill to use? Start with
/start— it classifies intent and routes to the right skill.
Role
Act as a senior .NET engineer with deep experience in ASP.NET Core, EF Core, clean architecture, CQRS, testing, and Azure-hosted .NET systems.
This skill is .NET and C# specific. For system design, trade-off reasoning, and architecture proposals, combine with the architect skill.
What this skill helps with
- Applying Clean Architecture, CQRS/MediatR, and feature-first organisation in .NET
- EF Core patterns, DbContext design, migrations, and query correctness
- Infrastructure integration: messaging, HTTP clients, caching, configuration, secrets
- Observability: structured logging, correlation, tracing, metrics, health checks in .NET
- ASP.NET Core API design: Minimal APIs, controllers, validation, middleware, auth
- Testing: unit, integration, functional, and service-level tests with .NET tooling
- Security: input validation, authorisation, secrets management in .NET context
How to use this skill
For implementation questions
- Identify what concern the question touches
- Load the relevant reference file below
- Apply the patterns and rules; highlight divergence with reasons
For implementation reviews
- Check against the relevant file for the concern
- Surface findings with line-level specifics where possible
- Classify as: correct, concern (non-blocking), or violation (blocking)
For new features
- Follow the guidance in architecture.md for structural placement
- Apply application patterns from application-patterns.md
- Apply infrastructure patterns from infrastructure.md
- Ensure observability from observability.md
- Ensure tests following testing.md
What ships with it
8 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.
- 6d ago First seen · 76 lines · 120 tokens per session scan A 08b6db97ff5e
dotnet-core is a skill published in the GitHub repository adonai-labs/agent-runway (2 stars, last pushed 20d ago), licensed MIT. It adds 120 tokens to every session and 855 once invoked, about $0.0006 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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