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 NicolaiLassen/orxhestra --skill a2a-integrationgit clone --depth 1 https://github.com/NicolaiLassen/orxhestraWrote 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/nicolailassen/orxhestra/a2a-integration)<a href="https://agentmods.dev/skills/nicolailassen/orxhestra/a2a-integration"><img src="https://agentmods.dev/badge/skills/nicolailassen/orxhestra/a2a-integration/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/nicolailassen/orxhestra/a2a-integration"><img src="https://agentmods.dev/badge/skills/nicolailassen/orxhestra/a2a-integration.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 | $0.00027 | $0.00474 |
| Opus 5 | $0.00014 | $0.00237 |
| Sonnet 5 | $0.00005 | $0.00095 |
| Haiku 4.5 | $0.00003 | $0.00047 |
Grade A, and why
a2a-integration 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 12d 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
A2A Integration
A2A Server — expose an agent
from orxhestra import LlmAgent, InMemorySessionService
from orxhestra.a2a import A2AServer, AgentSkill
agent = LlmAgent(name="MyAgent", model=model, tools=[...])
server = A2AServer(
agent=agent,
session_service=InMemorySessionService(),
app_name="my-agent-service",
skills=[
AgentSkill(
id="qa", name="Q&A",
description="Answers general questions.",
tags=["general"],
),
],
)
app = server.as_fastapi_app()
# uvicorn my_module:app --host 0.0.0.0 --port 8000
Endpoints
| Method | Endpoint | Description |
|---|---|---|
GET |
/.well-known/agent.json |
Agent Card discovery |
POST |
/ |
JSON-RPC 2.0 dispatch |
JSON-RPC methods
| Method | Description |
|---|---|
message/send |
Send message, receive completed Task |
message/stream |
Send message, receive SSE stream |
tasks/get |
Retrieve task by ID |
tasks/cancel |
Cancel a running task |
A2A Agent — connect to a remote agent
from orxhestra.agents.a2a_agent import A2AAgent
remote = A2AAgent(
name="RemoteAgent",
description="A remote research agent.",
url="http://localhost:9000",
)
async for event in remote.astream("What is quantum computing?"):
print(event.text)
In YAML Composer
agents:
remote_researcher:
type: a2a
description: "Remote research agent"
url: "http://localhost:9000"
orchestrator:
type: llm
tools:
- agent: remote_researcher
main_agent: orchestrator
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.
- 12d ago First seen · 80 lines · 27 tokens per session scan A fecde2ece337
a2a-integration is a skill published in the GitHub repository NicolaiLassen/orxhestra (21 stars, last pushed 4mo ago), licensed Apache-2.0. It adds 27 tokens to every session and 474 once invoked, about $0.0001 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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