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 OrcaQubits/agentic-commerce-skills-plugins --skill a2a-streaminggit clone --depth 1 https://github.com/OrcaQubits/agentic-commerce-skills-pluginsWrote 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/orcaqubits/agentic-commerce-skills-plugins/a2a-streaming)<a href="https://agentmods.dev/skills/orcaqubits/agentic-commerce-skills-plugins/a2a-streaming"><img src="https://agentmods.dev/badge/skills/orcaqubits/agentic-commerce-skills-plugins/a2a-streaming/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/orcaqubits/agentic-commerce-skills-plugins/a2a-streaming"><img src="https://agentmods.dev/badge/skills/orcaqubits/agentic-commerce-skills-plugins/a2a-streaming.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 | $0.00051 | $0.00887 |
| Opus 5.5 | $0.00020 | $0.00355 |
| Sonnet 5.5 | $0.00010 | $0.00177 |
| Haiku 4.5 | $0.00005 | $0.00089 |
Grade A, and why
a2a-streaming 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 1mo 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 — 103 lines — stays where its author put it; the contents beside it link to each section on GitHub.
A2A Streaming (SSE)
Before writing code
Fetch live docs:
- Fetch
https://a2a-protocol.org/latest/specification/for the streaming section - Web-search
site:github.com a2aproject A2A streaming SSE message/streamfor streaming protocol details - Web-search
site:github.com a2aproject a2a-samples streamingfor streaming implementation examples - Fetch SDK docs for streaming server/client classes and event types
Conceptual Architecture
What A2A Streaming Is
A2A streaming uses Server-Sent Events (SSE) to deliver real-time task updates from server to client. Instead of waiting for the entire task to complete (message/send), the client receives incremental updates as the agent works (message/stream).
When to Use Streaming
- Long-running tasks — Keep the client informed of progress
- Incremental results — Deliver partial artifacts as they're generated
- Interactive UX — Show real-time agent activity to end users
- Token streaming — Stream LLM output tokens as they're generated
How It Works
- Client sends
message/stream(same payload asmessage/send) - Server responds with
Content-Type: text/event-stream - Server sends SSE events as the task progresses
- Final event contains a terminal task state
- Connection closes after the terminal event
SSE Event Types
| Event Type | Purpose | When Sent |
|---|---|---|
| TaskStatusUpdateEvent | Task state changed | On every state transition |
| TaskArtifactUpdateEvent | New artifact data | When agent produces output |
Event Format
SSE events follow the standard format:
event: <event-type>
data: <JSON payload>
Each event's data field contains a JSON object with:
- taskId — Which task this event belongs to
- type — Event type discriminator
- Type-specific fields (status update, artifact data, message content)
Re-subscription
If the SSE connection drops, the client can re-subscribe:
- Call
tasks/resubscribewith thetaskId - Server resumes sending events from the current state
- Events that were sent before the reconnection are NOT replayed (unless the server implements replay)
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.
- 1mo ago First seen · 103 lines · 51 tokens per session scan A 29cffe46ed00
a2a-streaming is a skill published in the GitHub repository OrcaQubits/agentic-commerce-skills-plugins (39 stars, last pushed 1mo ago), licensed MIT. It adds 51 tokens to every session and 887 once invoked, about $0.0002 per session on Opus 5.5. 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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