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 skills/managedcode/dotnet-skills/signalrnpx skills add managedcode/dotnet-skills --skill signalrgit 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 | $0.00109 | $0.02705 |
| Opus 5 | $0.00055 | $0.01352 |
| Sonnet 5 | $0.00022 | $0.00541 |
| Haiku 4.5 | $0.00011 | $0.00270 |
Grade A, and why
signalr 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 2d 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 — 344 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SignalR
Trigger On
- building chat, notification, collaboration, or live-update features
- debugging hub lifetime, connection state, or transport issues
- deciding whether SignalR or another transport better fits the scenario
- implementing real-time broadcasting to groups of connected clients
- scaling SignalR across multiple servers
Documentation
- ASP.NET Core SignalR Overview
- SignalR Hubs
- SignalR API Design Considerations
- SignalR Production Hosting and Scaling
- SignalR Configuration
References
- patterns.md - Detailed hub patterns, streaming, groups, presence, and advanced messaging techniques
- anti-patterns.md - Common SignalR mistakes and how to avoid them
Workflow
- Use SignalR for broadcast-style or connection-oriented real-time features; do not force gRPC into hub-style fan-out scenarios.
- Model hub contracts intentionally and keep hub methods thin, delegating durable work elsewhere.
- Plan for reconnection, backpressure, auth, and fan-out costs instead of treating real-time messaging as stateless request/response.
- Use groups, presence, and connection metadata deliberately so scale-out behavior is understandable.
- If Native AOT or trimming is in play, validate supported protocols and serialization choices explicitly.
- Test connection behavior and failure modes, not just happy-path message delivery.
Current Upstream Notes
dotnet/aspnetcorev10.0.11is a servicing release and does not change the SignalR programming model. Keep guidance focused on hub contract design, reconnection, transport, authorization, and scale-out validation.- The August 2026 ASP.NET Core overview still positions SignalR for real-time server/client communication. After servicing updates, rerun at least one reconnect and group-broadcast smoke path because dependency updates can expose client/server package mismatches.
What ships with it
3 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.
- 2d ago First seen · 344 lines · 109 tokens per session scan A 7393a16feb1e
signalr is a skill published in the GitHub repository managedcode/dotnet-skills (477 stars, last pushed 2d ago), licensed MIT. It adds 109 tokens to every session and 2,705 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.
Other skills, from other repositories
winui-ui-testing
Automated UI testing for Windows desktop apps — generate a batch test script with the winapp ui UI Automation harness, run all tests in one pass, read results. Covers element assertions, interactions, value checking (TextBox, ComboBox, ToggleSwitch), keyboard shortcuts and typing (send-keys), hover, drag-and-drop…
pr-review
Multi-dimensional review of a PR or feature branch in microsoft/win-dev-skills. Activate on "review my PR / changes / branch", "vet before pushing", "PR review", "is this ready to merge". Fans out parallel sub-agents over skill content, the skill-vs-tool boundary (solution hierarchy), tool correctness…
winui-design
Use when designing, reviewing, or fixing WinUI 3: sample and control discovery with winapp find-ui, layout planning, control choice, Fluent Design alignment, Light/Dark/High Contrast theming, typography, spacing, brushes, accessibility, and XAML data-binding design. Load before authoring new XAML, reviewing UI PRs…
winui-dev-workflow
Build and run workflow for WinUI 3 apps with WinApp CLI 0.6+ — project creation with winapp new, project-mode winapp run, BuildAndRun.ps1 analyzer integration, crash diagnosis, and prerequisites. Use when creating, building, running, or fixing build errors in a WinUI 3 project.
winui-packaging
MSIX packaging, code signing, and distribution for WinUI 3 apps — build for release, certificate generation (winapp cert generate), certificate trust, code signing (winapp sign), self-contained deployment, CI/CD with GitHub Actions, and Microsoft Store submission. Use when preparing for release, creating MSIX…
winui-session-report
Analyze the current or a recent agent session (GitHub Copilot CLI or Claude Code) and generate a diagnostic report. Use only when the user explicitly asks for session feedback, agent debugging, or a review of what happened during a build session. Do not inspect session data automatically.