implementing-realtime-sync
Pass
Audited by Gen Agent Trust Hub on Feb 17, 2026
Risk Level: SAFEPROMPT_INJECTION
Full Analysis
- [PROMPT_INJECTION] (LOW): The example backend in
backend.pytakes raw user input from a URL query parameter (prompt) and interpolates it directly into the LLM message list (messages=[{"role": "user", "content": prompt}]). - Ingestion points:
backend.pyline 67 (prompt: str = Query(...)). - Boundary markers: None present in the example code.
- Capability inventory: Communicates with external LLM providers (OpenAI/Anthropic).
- Sanitization: None provided; the prompt is passed as-is to the provider.
- [SAFE]: No hardcoded credentials or sensitive data exposure detected. The
.env.examplefile correctly uses placeholders for API keys. - [SAFE]: No malicious obfuscation, persistence mechanisms, or unauthorized privilege escalation patterns were found.
- [SAFE]: Dependencies listed in
requirements.txtandoutputs.yamlare standard, well-known libraries from trusted registries (PyPI, npm).
Audit Metadata