a2a-client

a2a-client is a skill for Claude Code from OrcaQubits/agentic-commerce-skills-plugins. It costs 48 tokens per session (905 once invoked), scanned A, original, MIT.

A client that discovers and communicates with agents through A2A, a standard for delegating tasks between software agents. It finds an agent's capabilities, sends messages, receives results, and manages ongoing conversations.

In plain words
What is it for?
Use it to fetch Agent Cards, check capabilities, send or continue tasks, process immediate or streamed responses, poll long-running work, and receive push notifications.
Why use it?
It provides the requesting side of agent communication, including authentication, task monitoring, streaming, and follow-up when an agent needs more input.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Part of the a2a-multi-agent plugin — 16 skills, 1 agent, 1 hook shipped together

Good fit Use it to fetch Agent Cards, check capabilities, send or continue tasks, process immediate or streamed responses, poll long-running work, and receive push notifications.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/orcaqubits/agentic-commerce-skills-plugins/a2a-client
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 OrcaQubits/agentic-commerce-skills-plugins --skill a2a-client
Clone the repo
git clone --depth 1 https://github.com/OrcaQubits/agentic-commerce-skills-plugins

Made for: Claude Code.

Or install a2a-multi-agent, the plugin that ships this one along with the rest of its 16 skills, 1 agent, 1 hook.

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 a2a-client

README.md
[![agentmods](https://agentmods.dev/badge/skills/orcaqubits/agentic-commerce-skills-plugins/a2a-client/github.svg)](https://agentmods.dev/skills/orcaqubits/agentic-commerce-skills-plugins/a2a-client)
Your own site
<a href="https://agentmods.dev/skills/orcaqubits/agentic-commerce-skills-plugins/a2a-client"><img src="https://agentmods.dev/badge/skills/orcaqubits/agentic-commerce-skills-plugins/a2a-client/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 a2a-client

Your own site · 80×15
<a href="https://agentmods.dev/skills/orcaqubits/agentic-commerce-skills-plugins/a2a-client"><img src="https://agentmods.dev/badge/skills/orcaqubits/agentic-commerce-skills-plugins/a2a-client.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 48 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 905 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 $0.00048 $0.00905
Opus 5.5 $0.00019 $0.00362
Sonnet 5.5 $0.00010 $0.00181
Haiku 4.5 $0.00005 $0.00090

Measured 1mo ago against content hash d88772fef5a9, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

a2a-client 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.

a2a-multi-agent/skills/a2a-client/SKILL.md · 108 lines

How it starts

The opening of the file, as written. The whole thing — 108 lines — stays where its author put it; the contents beside it link to each section on GitHub.

A2A Client Implementation

Before writing code

Fetch live docs:

  1. Fetch https://a2a-protocol.org/latest/specification/ for client-side protocol requirements
  2. Web-search site:github.com a2aproject a2a-python client or a2aproject a2a-js client for SDK client classes
  3. Web-search site:github.com a2aproject a2a-samples client for reference client implementations
  4. Fetch the target SDK README for client usage patterns

Conceptual Architecture

What an A2A Client Does

An A2A client is the requesting side that:

  1. Discovers agents via Agent Cards (fetch /.well-known/agent-card.json)
  2. Sends messages to create or continue tasks
  3. Handles synchronous responses or SSE streams
  4. Manages multi-turn conversations (handles input-required states)
  5. Optionally configures push notifications for long-running tasks

Client Workflow

1. Discover agent → Fetch Agent Card
2. Check capabilities → Verify the agent can handle the task
3. Authenticate → Satisfy the agent's auth requirements
4. Send message → POST JSON-RPC to agent URL
5. Handle response → Process task result or continue conversation
6. Monitor → Poll, stream, or receive push notifications

Discovery

Before sending requests, the client must discover the target agent:

  • Direct URL — Fetch {base_url}/.well-known/agent-card.json
  • Registry lookup — Query an agent registry by skill tags or name
  • Referral — Another agent provides the target agent's URL
  • Configuration — Hard-coded agent URLs for known partners

Sending Messages

Two modes:

  • Synchronous (message/send) — Send a message, wait for the complete response
  • Streaming (message/stream) — Send a message, receive SSE events as the agent processes

Client Message Structure

{
  "jsonrpc": "2.0",
  "method": "message/send",
  "id": "request-id",
  "params": {
    "message": {
      "role": "user",
      "parts": [
        { "kind": "text", "text": "Your task description" }
      ]
    },
    "configuration": {
      "acceptedOutputModes": ["text/plain", "application/json"]
    }
  }
}

Read the full file on GitHub · 108 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. 1mo ago First seen · 108 lines · 48 tokens per session scan A d88772fef5a9

Subscribe to this mod's changes

a2a-client is a skill published in the GitHub repository OrcaQubits/agentic-commerce-skills-plugins (39 stars, last pushed 1mo ago), licensed MIT. It adds 48 tokens to every session and 905 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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