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 oaslananka/a2amesh --skill a2a-mcp-consumptiongit clone --depth 1 https://github.com/oaslananka/a2ameshWrote 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/oaslananka/a2amesh/a2a-mcp-consumption)<a href="https://agentmods.dev/skills/oaslananka/a2amesh/a2a-mcp-consumption"><img src="https://agentmods.dev/badge/skills/oaslananka/a2amesh/a2a-mcp-consumption/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/oaslananka/a2amesh/a2a-mcp-consumption"><img src="https://agentmods.dev/badge/skills/oaslananka/a2amesh/a2a-mcp-consumption.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 | $0.00030 | $0.00740 |
| Opus 5 | $0.00015 | $0.00370 |
| Sonnet 5 | $0.00006 | $0.00148 |
| Haiku 4.5 | $0.00003 | $0.00074 |
Grade A, and why
a2a-mcp-consumption 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.
How it starts
The opening of the file, as written. The whole thing — 79 lines — stays where its author put it; the contents beside it link to each section on GitHub.
A2A MCP Consumption
Use this skill to connect an MCP-capable client to the published a2amesh-mcp server and invoke only its reviewed A2A tool surface.
When to use
Use this skill when the user asks to:
- connect a local MCP client to A2A Mesh through stdio or loopback Streamable HTTP;
- discover the bounded MCP tool set;
- diagnose MCP connection or tool-registration failures; or
- invoke
a2a_discover,a2a_send_message, ora2a_get_taskunder the documented policy.
This is not an OpenClaw-specific plugin and does not make any client part of the A2A protocol implementation.
Required context
Confirm:
- the exact released
@a2amesh/mcpversion or reviewed local build; - the transport: stdio or loopback Streamable HTTP;
- the exact tool allowlist and whether it remains read-only;
- expected tenant, audience, scopes, and approval identifiers;
- named credential variables already provided by the runtime secret source;
- statically allowlisted A2A agents and destinations; and
- the requested read-only or state-changing tool invocation.
Workflow
- Start from
.mcp.jsonor the matching Codex, VS Code, or OpenCode example. - Prefer stdio for a local one-user flow. Use Streamable HTTP only on loopback with the documented bearer credential.
- Keep the default allowlist at
a2a_discover,a2a_get_taskuntil a send is explicitly approved. - Run the client's status, doctor, or probe command before any tool call.
- Start with
a2a_discoverfor the expected tenant. - Use
a2a_get_taskonly for a known allowlisted agent and task. - Before
a2a_send_message, obtain explicit approval, add the send scope and tool, set a fresh scoped approval identifier, and restart the MCP process. - Preserve audit evidence and report bounded reason codes without exposing input or output secrets.
Safety boundaries
- Fail closed on tool, tenant, audience, scope, approval, agent, and destination mismatch.
- Keep SSRF and outbound-network restrictions enabled.
- Never expose terminal, credential, merge, publish, deployment, or destructive tools through this bridge.
- Do not place concrete credentials in plugin files, client configuration committed to Git, logs, audit payloads, or chat output.
- Treat MCP annotations as hints; server authorization and audit policy remain authoritative.
- Bound timeout, cancellation, response size, and task artifact output.
- Do not claim generic MCP or A2A conformance from one client probe.
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.
- 10d ago First seen · 79 lines · 30 tokens per session scan A c41eff239c5a
a2a-mcp-consumption is a skill published in the GitHub repository oaslananka/a2amesh (2 stars, last pushed yesterday), licensed Apache-2.0. It adds 30 tokens to every session and 740 once invoked, about $0.0002 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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