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 bababoi-bibilabu/agent-mq --skill mqgit clone --depth 1 https://github.com/bababoi-bibilabu/agent-mqWrote 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/bababoi-bibilabu/agent-mq/mq)<a href="https://agentmods.dev/skills/bababoi-bibilabu/agent-mq/mq"><img src="https://agentmods.dev/badge/skills/bababoi-bibilabu/agent-mq/mq/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/bababoi-bibilabu/agent-mq/mq"><img src="https://agentmods.dev/badge/skills/bababoi-bibilabu/agent-mq/mq.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 | $0.00042 | $0.00525 |
| Opus 5 | $0.00021 | $0.00262 |
| Sonnet 5 | $0.00008 | $0.00105 |
| Haiku 4.5 | $0.00004 | $0.00052 |
Grade A, and why
mq 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.
What it actually says
agent-mq — Inter-Agent Message Queue
AI coding agents communicate through a message queue. Each agent has a name and can send/receive messages.
MCP Tools
mq_add(name, desc?, tool?)— add an agentmq_send(target, message, sender, msg_type?, priority?, reply_to?)— send a messagemq_recv(name, msg_type?)— receive messages for an agentmq_ls()— list agentsmq_history(limit?)— view message historymq_login(token, server?)— login to servermq_logout()— disconnect
Quick Start
mq_login(token: "your-uuid")
mq_add(name: "backend", desc: "working on API")
mq_send(target: "frontend", message: "API types changed", sender: "backend", msg_type: "task")
mq_recv(name: "backend")
mq_ls()
Message Types & Priority
Types: text (default), task, query, response, status
Priority: low, normal (default), urgent
Message Format
{
"id": "msg-uuid",
"from": "sender-name",
"to": "receiver-name",
"payload": "message text",
"type": "task",
"priority": "normal",
"ts": "2026-03-15T00:00:00Z"
}
Polling
agent-mq does not push messages. Set up periodic polling with CronCreate to check for new messages every 5 minutes:
Prompt: "Check for new messages with mq_recv(name: $AGENT_NAME) and process any tasks"
Key Properties
- Name-based routing: send and receive by agent name
- Consume-on-read: messages removed from inbox when read
- UUID-based isolation: agents under the same token share a namespace; different tokens are invisible to each other
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 · 67 lines · 42 tokens per session scan A bd276668e61a
mq is a skill published in the GitHub repository bababoi-bibilabu/agent-mq (2 stars, last pushed 5mo ago), licensed MIT. It adds 42 tokens to every session and 525 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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