langgraph-python-expert

Pass

Audited by Gen Agent Trust Hub on Mar 1, 2026

Risk Level: SAFE
Full Analysis
  • [PROMPT_INJECTION]: No attempts to override agent behavior or bypass safety filters were detected. The chatbot demonstration script (scripts/basic_workflow.py) creates a standard surface for indirect prompt injection as it processes user input, but this is inherent to the use case and not a malicious finding. * Ingestion points: User input via input() in scripts/basic_workflow.py. * Boundary markers: Not implemented in the demo script. * Capability inventory: Standard LLM chat functionality. * Sanitization: Relies on default LLM provider guardrails.
  • [DATA_EXFILTRATION]: The skill does not access sensitive files or hardcode credentials. It correctly demonstrates the use of environment variables for API keys and database connection strings.
  • [EXTERNAL_DOWNLOADS]: All external references and dependencies are standard, well-known packages from the LangChain/LangGraph ecosystem. The use of git submodules to fetch official source code follows standard development practices.
  • [COMMAND_EXECUTION]: The provided commands for environment setup and repository management are standard and safe. No automated or hidden command execution logic is present.
Audit Metadata
Risk Level
SAFE
Analyzed
Mar 1, 2026, 12:10 AM