rabbitmq-expert

Pass

Audited by Gen Agent Trust Hub on Sep 14, 2026

Risk Level: SAFEINDIRECT_PROMPT_INJECTION
Full Analysis
  • [SAFE]: The technical instructions and code examples provided for RabbitMQ management are consistent with professional development standards and prioritize security, including detailed guidance on credential isolation and TLS configuration.
  • [INDIRECT_PROMPT_INJECTION]: The skill implements logic to consume and process data from external RabbitMQ message queues, creating an inherent ingestion surface for untrusted data.
  • Ingestion points: Data enters the system context through message bodies processed by the OrderConsumer.process_message function in the app/consumers.py example.
  • Boundary markers: The instructions lack specific prompt delimiters to separate message data from system instructions, although they recommend strong application-level validation.
  • Capability inventory: The skill provides examples for administrative command execution (rabbitmqctl) and automated testing (pytest).
  • Sanitization: The documentation explicitly maps security requirements to OWASP standards and emphasizes the importance of validating and sanitizing message content.
Audit Metadata
Risk Level
SAFE
Analyzed
Sep 14, 2026, 05:56 PM
Security Audit — agent-trust-hub — rabbitmq-expert