ag2-network-workflow

ag2-network-workflow is a skill for Claude Code, Codex from ag2ai/ag2-skills. It costs 222 tokens per session (7,255 once invoked), scanned A, original, Apache-2.0.

A workflow system for coordinating several AG2 agents through a graph of handoffs and conditions. A handoff is when one agent passes work to another, such as a researcher passing a draft to a writer.

In plain words
What is it for?
Use it for pipelines, triage, conditional handoffs, context-based routing, reviewer loops, and migrations from AG2 GroupChat or handoff patterns.
Why use it?
It makes multi-step routing, feedback loops, and specialist selection explicit instead of relying on ad hoc turn-taking code.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it for pipelines, triage, conditional handoffs, context-based routing, reviewer loops, and migrations from AG2 GroupChat or handoff patterns.

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Install with agentmods
npx agentmods add skills/ag2ai/ag2-skills/ag2-network-workflow
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 ag2ai/ag2-skills --skill ag2-network-workflow
Clone the repo
git clone --depth 1 https://github.com/ag2ai/ag2-skills

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 ag2-network-workflow

README.md
[![agentmods](https://agentmods.dev/badge/skills/ag2ai/ag2-skills/ag2-network-workflow/github.svg)](https://agentmods.dev/skills/ag2ai/ag2-skills/ag2-network-workflow)
Your own site
<a href="https://agentmods.dev/skills/ag2ai/ag2-skills/ag2-network-workflow"><img src="https://agentmods.dev/badge/skills/ag2ai/ag2-skills/ag2-network-workflow/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 ag2-network-workflow

Your own site · 80×15
<a href="https://agentmods.dev/skills/ag2ai/ag2-skills/ag2-network-workflow"><img src="https://agentmods.dev/badge/skills/ag2ai/ag2-skills/ag2-network-workflow.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 222 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 7,255 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 $0.00222 $0.07255
Opus 5 $0.00111 $0.03628
Sonnet 5 $0.00044 $0.01451
Haiku 4.5 $0.00022 $0.00726

Measured 9d ago against content hash 20439c2ca48b, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

ag2-network-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 9d 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.

skills/ag2-network-workflow/SKILL.md · 579 lines

How it starts

The opening of the file, as written. The whole thing — 579 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AG2 Network — Workflow Adapter

workflow is the orchestrated multi-party adapter. A declarative TransitionGraph describes who speaks first, what conditions fire on each turn, and when the channel terminates. It's the modern replacement for the classic GroupChat + Agent.handoffs pattern — turn-taking lives in the hub, not in an in-process speaker selector.

Prerequisite: read ag2-network-quickstart first. This skill assumes you know Hub.open, HubClient.register, the channel lifecycle, and the basic agent_client.open(...) / channel.send(...) flow.

When to use

Load this skill when the user asks for any of:

  • "Two/three/N agents with conditional handoffs"
  • "Pipeline / sequence of agents (researcher → writer → editor)"
  • "Triage agent routes to specialists"
  • "Drafter / reviewer feedback loop"
  • "Coordinator + specialists / hierarchical orchestration"
  • "Migrate from GroupChat / ConversableAgent.handoffs / ReplyResult(target=...)"
  • "I want context-driven routing (OnContextCondition, StringContextCondition)"

Don't use workflow for:

  • Strict 1Q1R between two agents → consulting (see ag2-network-quickstart).
  • Free-form 2-party chat with no turn order → conversation (see ag2-network-quickstart).
  • Fixed round-robin with no conditions → discussion (see ag2-network-discussion).

If the user is unsure, the rule of thumb: need any condition more complex than "next speaker in a fixed list"? Use workflow.

Shape

Participants 2+
Turn order Whatever TransitionGraph says
Auto-close Yes — when graph emits TerminateTarget or max_turns is hit
Default view NamedWindowedSummary(recent_n=N*2)
Default expectations turn_within(120s, warn), turn_within(600s, auto_close)
Required knob {"graph": <TransitionGraph.to_dict()>}

The expectation is strict: a stuck speaker auto-closes the channel after 10 minutes. Tune via ag2-network-governance.

Workflow agents and the NetworkPlugin

Read the full file on GitHub · 579 lines

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. 9d ago First seen · 579 lines · 222 tokens per session scan A 20439c2ca48b

Subscribe to this mod's changes

ag2-network-workflow is a skill published in the GitHub repository ag2ai/ag2-skills (10 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 222 tokens to every session and 7,255 once invoked, about $0.0011 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 2026-08-31.

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