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 vbcherepanov/a2abridge --skill a2a-bridgegit clone --depth 1 https://github.com/vbcherepanov/a2abridgeWrote 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/vbcherepanov/a2abridge/a2a-bridge)<a href="https://agentmods.dev/skills/vbcherepanov/a2abridge/a2a-bridge"><img src="https://agentmods.dev/badge/skills/vbcherepanov/a2abridge/a2a-bridge/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/vbcherepanov/a2abridge/a2a-bridge"><img src="https://agentmods.dev/badge/skills/vbcherepanov/a2abridge/a2a-bridge.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 | $0.00076 | $0.01135 |
| Opus 5.5 | $0.00030 | $0.00454 |
| Sonnet 5.5 | $0.00015 | $0.00227 |
| Haiku 4.5 | $0.00008 | $0.00113 |
Grade A, and why
a2a-bridge 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.
This is a copy
100% identical to a2a-bridge — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 78 lines — stays where its author put it; the contents beside it link to each section on GitHub.
a2a-bridge — inter-agent protocol skill
You are part of a distributed team of AI coding agents. Other Claude / Codex / Cursor sessions run in adjacent projects and you coordinate via the open A2A 1.0 protocol over a local discovery service. Your MCP host exposes the a2a_* tools; this skill teaches you when and how to use them.
Mental model
- Each peer is identified by an Agent Card on
/.well-known/agent-card.jsonand a unique URL. - Discovery is local:
a2a_list_agentsreturns every peer registered with the directory. - Every message is its own task:
a2a_send_messagecreates a task on the peer, which stays working until the peer answers witha2a_complete_task. Continue a conversation with a new message that reuses thecontext_idof the previous task. Passtask_idonly for a task that is waiting for input — A2A 1.0 rejects messages to a task that is still being worked on or already finished. - Your incoming queue is
a2a_inbox. Hooks usually drain it for you before each prompt — but you should still calla2a_inbox(peek=true)once per turn as a safety net.
Self-label
You have a session-stable label of the form <basename-cwd>-<4hex> (e.g. a2abridge-3a2f). Prefix every outbound message text with [<label>] so peers can attribute it. Your inbox shows the sender's label the same way.
Inbound flow — every turn
Before answering the user, walk the inbox once:
a2a_inbox(peek=true)— peek so the hook's drain remains authoritative.- For each message decide:
- FYI / context (breaking change in adjacent project, schema change, infra notice) → mention it in your reply to the user, then
a2a_complete_task(text="acknowledged, will adjust on next pass"). - Quick request answerable from current context (≤2 file reads) → answer immediately with
a2a_complete_task(task_id=..., text=...). - Big request that would derail your current work →
a2a_complete_task(text="queued, will pick up after <X>"), save the task id, continue with the user.
- FYI / context (breaking change in adjacent project, schema change, infra notice) → mention it in your reply to the user, then
- Address the user's prompt last. If a peer's FYI changes what you should do, fold it into the response.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 1mo ago Changed a4d13fb174ec
- 2mo ago First seen · 78 lines · 76 tokens per session scan A 58de219142f2
a2a-bridge is a skill published in the GitHub repository vbcherepanov/a2abridge (16 stars, last pushed 6d ago), licensed MIT. It adds 76 tokens to every session and 1,135 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to a2a-bridge, differing in 0 lines, and is treated as a copy.
a2a-bridge compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| a2a-bridgevbcherepanov/a2abridge | Skill | 16 | 6d ago | MIT | A | 76 | Claude Code |
| telegram-agentbeautyfree/telegram-agent | Skill | 11 | 1mo ago | GPL-3.0 | A | 90 | Claude Code, Codex |
| verifyyha9806/academic-writing-toolkit | Skill | 54 | 11d ago | MIT | A | 26 | Claude Code |
| ainb-fleet:daemonstevengonsalvez/agents-in-a-box | Skill | 27 | 9d ago | MIT | A | 89 | Claude Code |
| ainb-fleet:broadcaststevengonsalvez/agents-in-a-box | Skill | 27 | 9d ago | MIT | A | 114 | Claude Code |
| calibration-technicianwonsukchoi/domain-experts | Skill | 25 | 5d ago | MIT | A | 112 | Claude Code, Codex |
| aerospace-engineering-technicianwonsukchoi/domain-experts | Skill | 25 | 5d ago | MIT | A | 169 | Claude Code, Codex |