agent-streaming

agent-streaming is a skill for Claude Code, Codex from NicolaiLassen/orxhestra. It costs 29 tokens per session (507 once invoked), scanned A, original, Apache-2.0.

A way for agents to send partial results and status events while they are working, including messages from subagents. Streaming means output appears as it is produced instead of waiting for the final answer.

In plain words
What is it for?
Displaying token-by-token responses, showing which subagent produced an event, and handling final results from orchestrated agents.
Why use it?
It lets an application show progress and intermediate agent activity during longer tasks.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions subagents.

Good fit Displaying token-by-token responses, showing which subagent produced an event, and handling final results from orchestrated agents.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/nicolailassen/orxhestra/agent-streaming
Install

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.

Any agent
npx skills add NicolaiLassen/orxhestra --skill agent-streaming
Clone the repo
git clone --depth 1 https://github.com/NicolaiLassen/orxhestra

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for agent-streaming

README.md
[![agentmods](https://agentmods.dev/badge/skills/nicolailassen/orxhestra/agent-streaming/github.svg)](https://agentmods.dev/skills/nicolailassen/orxhestra/agent-streaming)
Your own site
<a href="https://agentmods.dev/skills/nicolailassen/orxhestra/agent-streaming"><img src="https://agentmods.dev/badge/skills/nicolailassen/orxhestra/agent-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.

agentmods 80×15 button for agent-streaming

Your own site · 80×15
<a href="https://agentmods.dev/skills/nicolailassen/orxhestra/agent-streaming"><img src="https://agentmods.dev/badge/skills/nicolailassen/orxhestra/agent-streaming.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 29 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 507 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00029 $0.00507
Opus 5 $0.00015 $0.00253
Sonnet 5 $0.00006 $0.00101
Haiku 4.5 $0.00003 $0.00051

Measured 10d ago against content hash 3c82d5d4b4f4, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

agent-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 10d 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.

docs/skills/agent-streaming/SKILL.md · 69 lines

What it actually says

Agent Streaming

All agents stream via astream(), yielding Event objects.

Basic streaming

from orxhestra.events.event import Event, EventType

async for event in agent.astream("Write about distributed systems"):
    if event.type == EventType.AGENT_MESSAGE and event.partial:
        print(event.text, end="", flush=True)
    elif event.is_final_response():
        print(f"\n[DONE] {event.text}")

Sub-agent streaming via AgentTool

Sub-agent events stream through the parent in real-time. Events carry branch and agent_name fields.

from orxhestra import LlmAgent
from orxhestra.tools.agent_tool import AgentTool

weather_agent = LlmAgent(name="WeatherAgent", model=model, tools=[get_weather])
travel_agent = LlmAgent(name="TravelAgent", model=model, tools=[get_attractions])

planner = LlmAgent(
    name="TripPlanner",
    model=model,
    tools=[AgentTool(weather_agent), AgentTool(travel_agent)],
    instructions="Use the sub-agents to plan a trip.",
)

async for event in planner.astream("Plan a trip to Copenhagen"):
    if event.branch:
        print(f"  [{event.agent_name}] {event.text}", end="")
    elif event.is_final_response():
        print(f"\nFinal: {event.text}")

How it works

  1. LlmAgent creates an asyncio.Queue and sets ctx.event_callback = queue.put_nowait.
  2. AgentTool calls ctx.event_callback(event) for each child event.
  3. Events yield from the queue concurrently while tools run.
  4. event_callback propagates through ctx.derive() for nested sub-agents.

Any custom tool can use ctx.event_callback to push events.

With Runner

async for event in runner.astream(
    user_id="user-1",
    session_id="session-1",
    new_message="Write me a long essay.",
):
    if event.is_final_response():
        print(f"\n[DONE] {event.text}")
    elif event.type == EventType.AGENT_MESSAGE and event.partial:
        print(event.text, end="", flush=True)
Changes

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.

  1. 10d ago First seen · 69 lines · 29 tokens per session scan A 3c82d5d4b4f4

Subscribe to this mod's changes

agent-streaming is a skill published in the GitHub repository NicolaiLassen/orxhestra (21 stars, last pushed 4mo ago), licensed Apache-2.0. It adds 29 tokens to every session and 507 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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