production-grade-agentic-system
Pass
Audited by Gen Agent Trust Hub on Oct 8, 2026
Risk Level: SAFEEXTERNAL_DOWNLOADSCOMMAND_EXECUTIONINDIRECT_PROMPT_INJECTION
Full Analysis
- [EXTERNAL_DOWNLOADS]: The installation guide instructs the user to clone a project from an external GitHub repository (
github.com/FareedKhan-dev/production-grade-agentic-system) and install dependencies usingpipfrom the local directory. - [COMMAND_EXECUTION]: The skill provides instructions to execute shell commands for system setup and deployment, including
git clone,pip install,docker-compose, anduvicornexecution. - [INDIRECT_PROMPT_INJECTION]: The multi-agent architecture creates an attack surface where external data processed by the LLM could influence agent behavior.
- Ingestion points: User input via the
/api/v1/chatendpoint and external search results retrieved through theDuckDuckGoSearchRuntool. - Boundary markers: Absent; the provided LangGraph implementation interpolates tool outputs and user messages into the agent state without explicit delimiters or safety instructions.
- Capability inventory: Data persistence in a PostgreSQL database (checkpointing) and external network access via search tools.
- Sanitization: Uses Pydantic schemas for structured data validation, but no explicit sanitization or filtering of natural language content is implemented before LLM processing.
Audit Metadata