public-rabbitmq-expert-base

public-rabbitmq-expert-base is a skill for Claude Code, Codex from seed-forge/harness-ai-kit. It costs 48 tokens per session (659 once invoked), scanned A, original, Apache-2.0.

A reference guide to RabbitMQ, a system that sends messages between software components. It covers message routes, queues, persistence, delivery confirmations, and handling messages that cannot be processed.

In plain words
What is it for?
Understanding exchange types, routing keys, queue settings, message expiration, consumer limits, durable delivery, publisher confirmations, and dead-letter handling.
Why use it?
It gives another skill a shared foundation for designing RabbitMQ integrations without repeating the basic concepts each time.

Skill for Claude CodeCodex

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

Good fit Understanding exchange types, routing keys, queue settings, message expiration, consumer limits, durable delivery, publisher confirmations, and dead-letter handling.

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Install with agentmods
npx agentmods add skills/seed-forge/harness-ai-kit/public-rabbitmq-expert-base
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 seed-forge/harness-ai-kit --skill public-rabbitmq-expert-base
Clone the repo
git clone --depth 1 https://github.com/seed-forge/harness-ai-kit

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.

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README.md
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Your own site
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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.

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Your own site · 80×15
<a href="https://agentmods.dev/skills/seed-forge/harness-ai-kit/public-rabbitmq-expert-base"><img src="https://agentmods.dev/badge/skills/seed-forge/harness-ai-kit/public-rabbitmq-expert-base.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 659 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 $0.00659
Opus 5 $0.00024 $0.00329
Sonnet 5 $0.00010 $0.00132
Haiku 4.5 $0.00005 $0.00066

Measured 11d ago against content hash 4f680b4caecc, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

public-rabbitmq-expert-base 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/public-rabbitmq-expert-base/SKILL.md · 58 lines

How it starts

The opening of the file, as written. The whole thing — 58 lines — stays where its author put it; the contents beside it link to each section on GitHub.

RabbitMQ Knowledge Base

Source: Adapted from mindrally/skills (rabbitmq-development) and RabbitMQ official documentation.

Exchange Types

Type Routing Use for
Direct Exact routing key match Point-to-point, RPC
Topic Wildcard pattern (*.info, #) Flexible pub/sub
Fanout Ignore routing key, broadcast to all bound queues Broadcast notifications
Headers Match on message headers (not routing key) Complex routing rules
  • Default exchange (empty name): direct routing by queue name. Convenient but not recommended for production.
  • Always declare exchanges explicitly; don't rely on auto-created exchanges.

Queue & Routing

  • Declare queues with durable=true for persistence across broker restarts.
  • Bind queues to exchanges with routing keys.
  • Use x-message-ttl for message expiration.
  • Use x-max-length to cap queue size (drop or dead-letter oldest).
  • Prefetch count (basic_qos): limit unacknowledged messages per consumer.

Durability & Reliability

  • durable=true on queue + persistent delivery mode on message = survive broker restart.
  • Publisher confirms: confirm_select() → broker acknowledges message receipt.
  • Consumer acknowledgments: basic_ack (success) / basic_nack (failure, requeue or dead-letter).
  • Never use auto_ack=true in production (message loss on consumer crash).

Dead Letter Exchange (DLX)

  • Messages are dead-lettered when: rejected (basic_nack with requeue=false), TTL expired, or queue length exceeded.
  • Configure with x-dead-letter-exchange and x-dead-letter-routing-key on the source queue.
  • Use DLX for retry queues, error handling, and audit trails.
  • Pattern: main queue → DLX → retry queue (with TTL) → main queue.

Connection & Channel

  • One connection per application; multiple channels per connection.
  • Channels are lightweight; connections are expensive (TCP + AMQP handshake).
  • Use connection pooling for multi-threaded applications.
  • Set heartbeat interval (default 60s) to detect dead connections.

Read the full file on GitHub · 58 lines

Files

What ships with it

3 files 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.

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 · 58 lines · 48 tokens per session scan A 4f680b4caecc

Subscribe to this mod's changes

public-rabbitmq-expert-base is a skill published in the GitHub repository seed-forge/harness-ai-kit (22 stars, last pushed 10d ago), licensed Apache-2.0. It adds 48 tokens to every session and 659 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 2026-08-30.