AG-UI is an event-based protocol that lets AI agent backends communicate with user-facing applications. It standardizes agent events and inputs while supporting transports such as server-sent events, WebSockets, and webhooks. The catalogue add-ons help developers build integrations and applications around the protocol.
Borrowing it
Nothing to install: this file belongs to ag-ui-protocol/ag-ui. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/ag-ui-protocol/ag-ui/main/.github/skills/agui-dotnet-feature-workflow/SKILL.mdgit clone --depth 1 https://github.com/ag-ui-protocol/ag-uiWrote 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/ag-ui-protocol/ag-ui/agui-dotnet-feature-workflow)<a href="https://agentmods.dev/skills/ag-ui-protocol/ag-ui/agui-dotnet-feature-workflow"><img src="https://agentmods.dev/badge/skills/ag-ui-protocol/ag-ui/agui-dotnet-feature-workflow.svg" alt="Measured on agentmods" 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 | $0.00266 | $0.02167 |
| Opus 5 | $0.00133 | $0.01084 |
| Sonnet 5 | $0.00053 | $0.00433 |
| Haiku 4.5 | $0.00027 | $0.00217 |
Grade A, and why
agui-dotnet-feature-workflow 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 8d 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 — 155 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AG-UI .NET SDK — Feature Workflow (Orchestrator)
This is the hub skill. Given a request to build or change a feature in the AG-UI
.NET SDK (sdks/dotnet/), it lays out the correct end-to-end order and routes the
depth of each step to a focused sibling skill. It does not duplicate their content.
The SDK has a multi-artifact definition of done. An agent working ad hoc forgets
artifacts — most often cross-language parity, docs, AGENTS.md/docs/architecture.md sync,
and PublicAPI.Unshipped.txt. Use this skill to avoid that.
Package map
sdks/dotnet/src/:
| Package | Responsibility |
|---|---|
AGUI.Abstractions |
Wire types: events, messages, tools, capabilities, AGUIJsonSerializerContext |
AGUI.Formatting |
JSON formatter + SSE encode/decode |
AGUI.Protobuf |
Protobuf encoding of the protocol |
AGUI.Client |
AGUIChatClient (IChatClient) + transport negotiation |
AGUI.Server |
Hosting-agnostic agent-side conversion (ChatResponseUpdate → events) |
ASP.NET hosting glue lives in samples/AGUI.Samples.Shared (not a src/ package).
sdks/dotnet/AGENTS.md and docs/architecture.md are the canonical description of
the layout and conventions (kept current via agui-dotnet-agents-sync); AGUI.slnx
is the ground truth if you need to re-derive the package list.
Build & test commands
# from sdks/dotnet/
dotnet build sdks/dotnet/AGUI.slnx # whole solution
dotnet test tests/AGUI.Abstractions.UnitTests/ # per-project, fast feedback
Directory.Build.props treats warnings as errors, and PublicApiAnalyzers is on
for every src/ project with a PublicAPI.Shipped.txt. The build fails if you skip
the AOT serialization wiring or forget PublicAPI.Unshipped.txt — these are not
optional polish steps, they are enforced.
Definition of done (feature checklist)
- Wire contract understood (matched against TS/Python reference if wire-affecting)
- Type/behavior implemented in the right package (see map)
- AOT serialization wired (
[JsonSerializable]inAGUIJsonSerializerContext, converter case,[JsonPropertyName]) - Client/server mapping updated (
AGUI.Clientevent→update and/orAGUI.Serverupdate→event) - Unit tests (serialization round-trip + behavior)
- Integration tests (full pipeline) if it crosses the HTTP/SSE boundary
- Cross-language parity tests if wire-affecting
-
PublicAPI.Unshipped.txtupdated for every changed public member - Docs updated (docs.ag-ui.com / SDK docs) if user-facing
-
AGENTS.md/docs/architecture.mdsynced if structure/recipe changed -
dotnet build sdks/dotnet/AGUI.slnxand relevantdotnet testprojects green
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.
- 8d ago First seen · 155 lines · 266 tokens per session scan A 492c52b9aaa7
agui-dotnet-feature-workflow is a skill published in the GitHub repository ag-ui-protocol/ag-ui (15,752 stars, last pushed yesterday), licensed MIT. It adds 266 tokens to every session and 2,167 once invoked, about $0.0013 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
agent-code-analyzer
Agent skill for code-analyzer - invoke with $agent-code-analyzer.
worker-integration
Worker-Agent integration for intelligent task dispatch and performance tracking.
quality-hooks
Language-specific auto-lint/format/typecheck pipeline. Supports Python (ruff+pyright), TypeScript (prettier+eslint+tsc), Go (gofmt+golangci-lint). Auto-fix and convergence loops.
cog-knowledge-consolidation
Build structured knowledge frameworks from scattered vault notes with source attribution.
revdiff-plan
Review the last Codex assistant message (plan, analysis, or proposal) with inline annotations in a TUI overlay. Extracts the most recent response from Codex rollout files and opens it in revdiff for review and annotation. Activates on "revdiff-plan", "review plan with revdiff", "annotate plan", "review last response"…
strict-tdd
Strict RED->GREEN->REFACTOR test-driven development with enforcement. Never write production code before a failing test. Atomic commits per TDD cycle.