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 ashish7802/awesome-api-skills --skill rabbitmqgit clone --depth 1 https://github.com/ashish7802/awesome-api-skillsWrote 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/ashish7802/awesome-api-skills/rabbitmq)<a href="https://agentmods.dev/skills/ashish7802/awesome-api-skills/rabbitmq"><img src="https://agentmods.dev/badge/skills/ashish7802/awesome-api-skills/rabbitmq/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/ashish7802/awesome-api-skills/rabbitmq"><img src="https://agentmods.dev/badge/skills/ashish7802/awesome-api-skills/rabbitmq.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium MCP Rug Pull · line 30 Docker image references without a specific tag (:latest is implicit) or digest (@sha256:...) can be silently replaced by a malicious image.Fix: Pin the image: image:tag or image@sha256:abc123
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 | $0.00000 | $0.00641 |
| Opus 5.5 | $0.00000 | $0.00256 |
| Sonnet 5.5 | $0.00000 | $0.00128 |
| Haiku 4.5 | $0.00000 | $0.00064 |
Grade A, and why
rabbitmq 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.
How it starts
The opening of the file, as written. The whole thing — 69 lines — stays where its author put it; the contents beside it link to each section on GitHub.
RabbitMQ Skill
Reliable, mature AMQP message broker.
Ecosystem Graph Preview
graph LR
rabbitmq["rabbitmq"]:::core
classDef core fill:#f9f,stroke:#333,stroke-width:4px;
bullmq -- "alternative to" --> rabbitmq
kafka -- "alternative to" --> rabbitmq
rabbitmq -- "alternative to" --> kafka
rabbitmq -- "alternative to" --> bullmq
Recommended Next Skills
- kafka (Score: 0.9) Why: Direct relationship, Both are Messaging, Shared ecosystem (infrastructure), Can deploy to kubernetes
- bullmq (Score: 0.8) Why: Direct relationship, Both are Messaging, Can deploy to docker
- redis-streams (Score: 0.33) Why: Both are Messaging, Can deploy to aws, Similar network profile
Quick Start
RabbitMQ uses the AMQP protocol to route messages between producers and consumers using highly configurable Exchanges and Queues.
docker run -d -p 5672:5672 -p 15672:15672 rabbitmq:3-management
Production Patterns
Acknowledgements
Never use auto-acknowledgement in production. Consumers must explicitly acknowledge (ack) the message after successfully processing it. If the worker crashes, RabbitMQ will requeue the message.
Architecture & Scaling
Exchanges vs Queues
Producers never publish directly to queues; they publish to Exchanges. Configure a topic exchange to route messages to multiple queues based on routing keys (e.g., user.created goes to both the email queue and analytics queue).
Error Recovery
Always configure a Dead Letter Exchange (DLX). If a message fails processing multiple times (poison pill), route it to the DLX for manual inspection rather than infinitely looping and crashing the worker.
Security Notes
Do not expose the management UI (port 15672) to the internet. Enforce TLS for all AMQP connections to prevent packet sniffing of message payloads.
References
What ships with it
2 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.
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 First seen · 69 lines · 0 tokens per session scan A 9ab4bea0fc93
rabbitmq is a skill published in the GitHub repository ashish7802/awesome-api-skills (13 stars, last pushed 3d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 641 tokens. 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 2026-09-03.
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