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 martinholovsky/claude-skills-generator --skill rabbitmq-expertgit clone --depth 1 https://github.com/martinholovsky/claude-skills-generatorWrote 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/martinholovsky/claude-skills-generator/rabbitmq-expert)<a href="https://agentmods.dev/skills/martinholovsky/claude-skills-generator/rabbitmq-expert"><img src="https://agentmods.dev/badge/skills/martinholovsky/claude-skills-generator/rabbitmq-expert/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/martinholovsky/claude-skills-generator/rabbitmq-expert"><img src="https://agentmods.dev/badge/skills/martinholovsky/claude-skills-generator/rabbitmq-expert.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk fail
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 | $0.00053 | $0.09749 |
| Opus 5 | $0.00026 | $0.04875 |
| Sonnet 5 | $0.00011 | $0.01950 |
| Haiku 4.5 | $0.00005 | $0.00975 |
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 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.
How it starts
The opening of the file, as written. The whole thing — 1,556 lines — stays where its author put it; the contents beside it link to each section on GitHub.
RabbitMQ Message Broker Expert
1. Overview
You are an elite RabbitMQ engineer with deep expertise in:
2. Core Principles
- TDD First - Write tests before implementation; verify message flows with test consumers
- Performance Aware - Optimize prefetch, batching, and connection pooling from the start
- Reliability Obsessed - No message loss through durability, confirms, and proper acks
- Security by Default - TLS everywhere, no default credentials, proper isolation
- Observable Always - Monitor queue depth, throughput, latency, and cluster health
- Design for Failure - Dead letter exchanges, retries, circuit breakers
3. Implementation Workflow (TDD)
Step 1: Write Failing Test First
# tests/test_message_queue.py
import pytest
import pika
import json
import time
from unittest.mock import MagicMock, patch
class TestOrderProcessor:
"""Test order message processing with RabbitMQ"""
@pytest.fixture
def mock_channel(self):
"""Create mock channel for unit tests"""
channel = MagicMock()
channel.basic_qos = MagicMock()
channel.basic_consume = MagicMock()
channel.basic_ack = MagicMock()
channel.basic_nack = MagicMock()
return channel
@pytest.fixture
def rabbitmq_connection(self):
"""Create real connection for integration tests"""
try:
connection = pika.BlockingConnection(
pika.ConnectionParameters(
host='localhost',
connection_attempts=3,
retry_delay=1
)
)
yield connection
connection.close()
except pika.exceptions.AMQPConnectionError:
pytest.skip("RabbitMQ not available")
def test_message_acknowledged_on_success(self, mock_channel):
"""Test that successful processing sends ack"""
from app.consumers import OrderConsumer
consumer = OrderConsumer(mock_channel)
message = json.dumps({"order_id": 123, "status": "pending"})
# Create mock method with delivery tag
method = MagicMock()
method.delivery_tag = 1
# Process message
consumer.process_message(mock_channel, method, None, message.encode())
# Verify ack was called
mock_channel.basic_ack.assert_called_once_with(delivery_tag=1)
mock_channel.basic_nack.assert_not_called()
def test_message_rejected_to_dlx_on_failure(self, mock_channel):
"""Test that failed processing sends to DLX"""
from app.consumers import OrderConsumer
consumer = OrderConsumer(mock_channel)
invalid_message = b"invalid json"
method = MagicMock()
method.delivery_tag = 2
# Process invalid message
consumer.process_message(mock_channel, method, None, invalid_message)
# Verify nack was called without requeue (sends to DLX)
mock_channel.basic_nack.assert_called_once_with(
delivery_tag=2,
requeue=False
)
def test_prefetch_count_configured(self, mock_channel):
"""Test that prefetch count is properly set"""
from app.consumers import OrderConsumer
consumer = OrderConsumer(mock_channel, prefetch_count=10)
consumer.setup()
mock_channel.basic_qos.assert_called_once_with(prefetch_count=10)
def test_publisher_confirms_enabled(self, rabbitmq_connection):
"""Integration test: verify publisher confirms work"""
channel = rabbitmq_connection.channel()
channel.confirm_delivery()
# Declare test queue
channel.queue_declare(queue='test_confirms', durable=True)
# Publish with confirms - should not raise
channel.basic_publish(
exchange='',
routing_key='test_confirms',
body=b'test message',
properties=pika.BasicProperties(delivery_mode=2)
)
# Cleanup
channel.queue_delete(queue='test_confirms')
def test_dlx_receives_rejected_messages(self, rabbitmq_connection):
"""Integration test: verify DLX receives rejected messages"""
channel = rabbitmq_connection.channel()
# Setup DLX
channel.exchange_declare(exchange='test_dlx', exchange_type='fanout')
channel.queue_declare(queue='test_dead_letters')
channel.queue_bind(exchange='test_dlx', queue='test_dead_letters')
# Setup main queue with DLX
channel.queue_declare(
queue='test_main',
arguments={'x-dead-letter-exchange': 'test_dlx'}
)
# Publish and reject message
channel.basic_publish(
exchange='',
routing_key='test_main',
body=b'will be rejected'
)
# Get and reject message
method, props, body = channel.basic_get('test_main')
if method:
channel.basic_nack(delivery_tag=method.delivery_tag, requeue=False)
# Wait for DLX delivery
time.sleep(0.1)
# Verify message arrived in DLX queue
method, props, body = channel.basic_get('test_dead_letters')
assert body == b'will be rejected'
# Cleanup
channel.queue_delete(queue='test_main')
channel.queue_delete(queue='test_dead_letters')
channel.exchange_delete(exchange='test_dlx')
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.
- 11d ago First seen · 1,556 lines · 53 tokens per session scan A 3a1f7f1c8d93
rabbitmq-expert is a skill published in the GitHub repository martinholovsky/claude-skills-generator (45 stars, last pushed 9mo ago), licensed Unlicense. It adds 53 tokens to every session and 9,749 once invoked, about $0.0003 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.
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