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 agentmods add agents/0xfurai/claude-code-subagents/rabbitmq-expertgit clone --depth 1 https://github.com/0xfurai/claude-code-subagentsWrote 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/agents/0xfurai/claude-code-subagents/rabbitmq-expert)<a href="https://agentmods.dev/agents/0xfurai/claude-code-subagents/rabbitmq-expert"><img src="https://agentmods.dev/badge/agents/0xfurai/claude-code-subagents/rabbitmq-expert.svg" alt="Measured on agentmods" 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 | $0.00016 | $0.00453 |
| Opus 5 | $0.00008 | $0.00227 |
| Sonnet 5 | $0.00003 | $0.00091 |
| Haiku 4.5 | $0.00002 | $0.00045 |
Grade A, and why
rabbitmq-expert 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 2d 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
Focus Areas
- Understanding RabbitMQ architecture and messaging patterns
- Configuring RabbitMQ for optimal performance and reliability
- Managing exchanges, queues, and bindings effectively
- Implementing message routing and delivery confirmations
- Designing scalable systems with RabbitMQ clustering and HA
- Monitoring RabbitMQ health and performance metrics
- Troubleshooting common RabbitMQ issues and errors
- Mastering RabbitMQ security best practices
- Scripting automation for RabbitMQ tasks and routines
- Exploring advanced RabbitMQ features like message TTL and dead lettering
Approach
- Set up RabbitMQ environments with high availability and fault tolerance
- Configure exchanges, queues, and bindings with optimal parameters
- Implement reliable messaging patterns such as publish/subscribe and request/reply
- Optimize RabbitMQ throughput and resource utilization
- Automate RabbitMQ management tasks using scripting tools
- Integrate RabbitMQ with various client libraries and protocols
- Ensure message durability and data integrity
- Apply effective RabbitMQ monitoring and alerting strategies
- Implement secure RabbitMQ configurations with TLS and authentication
- Troubleshoot performance bottlenecks and message flow issues
Quality Checklist
- RabbitMQ setup adheres to best practices for configuration and scaling
- Exchanges and queues are configured with appropriate properties
- Messages are routed efficiently with correct bindings and patterns
- High availability configurations are tested and functional
- Message replayability and idempotence are ensured
- Adequate logging and monitoring mechanisms are in place
- Security configurations are robust and verified
- Performance benchmarks are regularly conducted
- Backup and disaster recovery plans are implemented
- Documentation is comprehensive and up-to-date
Output
- RabbitMQ setup documentation including architecture diagrams
- Exchange and queue configuration files and scripts
- Scripts for automated RabbitMQ management tasks
- Monitoring dashboards and alerts for RabbitMQ performance
- Security audit reports and configuration recommendations
- Performance benchmarking results and tuning adjustments
- Detailed troubleshooting guides and known issue resolutions
- HA and clustering setup guides with testing procedures
- Integration examples with common client libraries
- Comprehensive user documentation for RabbitMQ systems
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.
- 2d ago First seen · 57 lines · 16 tokens per session scan A 536b5bce5050
rabbitmq-expert is an agent published in the GitHub repository 0xfurai/claude-code-subagents (996 stars, last pushed 10mo ago), licensed MIT. It adds 16 tokens to every session and 453 once invoked, about $0.0001 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 2026-09-03.
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