voice-ai-engine-development
Pass
Audited by Gen Agent Trust Hub on Aug 6, 2026
Risk Level: SAFEPROMPT_INJECTION
Full Analysis
- [SAFE]: The skill exclusively utilizes official SDKs and libraries from trusted organizations, such as Google (
google-genai,google-adk) and LangChain (langgraph). No suspicious or unverified dependencies were found. - [PROMPT_INJECTION]: The skill architecture presents an indirect prompt injection surface as it is designed to ingest and process untrusted user audio input. Analysis of the vulnerability surface reveals:
- Ingestion points: Audio data enters the pipeline through the FastAPI WebSocket endpoint at
/conversation(identified insrc/main.py). - Boundary markers: The implementation utilizes system instructions in the
GeminiTranscriberWorkerandLangGraphAgentWorkerto constrain behavior. - Capability inventory: The pipeline performs network operations to Google Gemini APIs and is configured with standard file-system tools (Read, Write, Edit).
- Sanitization: The provided templates do not include explicit input sanitization for the generated transcriptions before they reach the LLM agent, which is a standard risk for this use-case.
- [SAFE]: Sensitive configuration, including API keys, is managed via
pydantic-settingsand environment variables. The reference files correctly warn against hardcoding credentials, adhering to security best practices.
Audit Metadata