voice-ai-engine-development
Pass
Audited by Gen Agent Trust Hub on Apr 14, 2026
Risk Level: SAFE
Full Analysis
- [PROMPT_INJECTION]: The skill instructions are focused on technical implementation and architectural patterns. No instructions attempting to bypass safety filters, extract system prompts, or override agent behavior were found.
- [DATA_EXPOSURE_AND_EXFILTRATION]: No hardcoded secrets or sensitive credentials were detected. The example code demonstrates best practices by retrieving API keys from configuration objects or environment variables. No access to sensitive local file paths (such as .ssh or .aws) was observed.
- [REMOTE_CODE_EXECUTION]: The provided scripts do not use dangerous functions such as eval() or exec() with external input. All command execution is handled through standard asynchronous programming patterns for concurrency.
- [INDIRECT_PROMPT_INJECTION]: The skill architecture is designed to ingest and process external audio and text data, creating a potential surface for indirect prompt injection.
- Ingestion points: The
receive_audiomethod inexamples/complete_voice_engine.pyand input queues in worker components. - Boundary markers: Not explicitly implemented in the provided architectural examples.
- Capability inventory: Network communication with various service providers (OpenAI, Deepgram, ElevenLabs, etc.).
- Sanitization: Not present in the example code; developers implementing the engine are encouraged to add validation layers for production use.
- [EXTERNAL_DOWNLOADS]: The skill references and integrates with reputable and well-known service providers, including OpenAI, Google Gemini, Anthropic, Deepgram, ElevenLabs, and Microsoft Azure. All references point to official documentation and legitimate API endpoints.
Audit Metadata