ag2-a2a

ag2-a2a is a skill for Claude Code, Codex from ag2ai/ag2-skills. It costs 271 tokens per session (3,888 once invoked), scanned A, original, Apache-2.0.

An integration for exposing an AG2 agent through the Agent-to-Agent protocol, a standard way for software agents to communicate over a network. It also lets an AG2 agent call another compatible remote agent.

In plain words
What is it for?
Use it to publish an AG2 agent as a JSON-RPC, REST, or gRPC service, or to connect one AG2 agent to a remote A2A agent.
Why use it?
It allows agents built with different systems to discover and communicate with each other across processes or machines.

Skill for Claude CodeCodex

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

Good fit Use it to publish an AG2 agent as a JSON-RPC, REST, or gRPC service, or to connect one AG2 agent to a remote A2A agent.

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Install with agentmods
npx agentmods add skills/ag2ai/ag2-skills/ag2-a2a
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-a2a
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-a2a

README.md
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Your own site
<a href="https://agentmods.dev/skills/ag2ai/ag2-skills/ag2-a2a"><img src="https://agentmods.dev/badge/skills/ag2ai/ag2-skills/ag2-a2a/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-a2a

Your own site · 80×15
<a href="https://agentmods.dev/skills/ag2ai/ag2-skills/ag2-a2a"><img src="https://agentmods.dev/badge/skills/ag2ai/ag2-skills/ag2-a2a.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 271 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,888 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 $0.00271 $0.03888
Opus 5 $0.00135 $0.01944
Sonnet 5 $0.00054 $0.00778
Haiku 4.5 $0.00027 $0.00389

Measured 11d ago against content hash d90f088b5fc7, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

ag2-a2a 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 11d 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-a2a/SKILL.md · 294 lines

How it starts

The opening of the file, as written. The whole thing — 294 lines — stays where its author put it; the contents beside it link to each section on GitHub.

A2A (Agent-to-Agent) integration

Expose an AG2 Agent over the A2A protocol — a standard JSON-RPC / REST / gRPC contract plus a discoverable AgentCard — so other systems can call your agent over the network. The same module also lets an AG2 Agent consume a remote A2A agent by using A2AConfig as the agent's model config.

When to use

  • You want an AG2 agent reachable as a standard networked service that non-AG2 A2A clients can call (interop), not just from Python.
  • You need a discoverable agent: a published AgentCard at /.well-known/agent-card.json describing the agent's skills, transports, auth, and capabilities.
  • You want a choice of transport (JSON-RPC, REST, or gRPC) — possibly several at once from one server.
  • You need declared auth schemes (bearer / API key / OAuth2 / OIDC / mTLS), push notifications, or multi-tenancy surfaced on the card.
  • Conversely, you want one AG2 agent to call a remote A2A agent as if it were an LLM provider — use A2AConfig as the calling agent's config.

If you only need a web frontend (React/CopilotKit) in front of an agent, use the AG-UI skill instead. If two AG2 agents simply need to talk inside one process/cluster, the AG2 network is the standard multi-agent pattern.

Installation

pip install "ag2[a2a]"

Required. The a2a extra pulls in a2a-sdk (with the HTTP server). gRPC needs the a2a-sdk[grpc] extra in addition. If you cannot run commands, state the exact pip install command.

Public API (from ag2.a2a import ...): A2AConfig, A2AServer, build_card.

60-second recipe — serve an agent over A2A

A2AServer.build_jsonrpc(...) returns a ready-to-serve Starlette ASGI app. Run it directly with uvicorn:

from ag2 import Agent
from ag2.a2a import A2AServer
from ag2.config import OpenAIConfig

agent = Agent(
    name="weather_bot",
    prompt="You answer questions about the weather.",
    config=OpenAIConfig(model="gpt-4o-mini"),
)

server = A2AServer(agent)
# returns a Starlette ASGI app; `url` is the public URL written into the card
app = server.build_jsonrpc(url="http://localhost:8000")

Read the full file on GitHub · 294 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. 11d ago First seen · 294 lines · 271 tokens per session scan A d90f088b5fc7

Subscribe to this mod's changes

ag2-a2a is a skill published in the GitHub repository ag2ai/ag2-skills (10 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 271 tokens to every session and 3,888 once invoked, about $0.0014 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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