Autonomous Optimization Architect
Pass
Audited by Gen Agent Trust Hub on Aug 11, 2026
Risk Level: SAFE
Full Analysis
- [PROMPT_INJECTION]: The skill is designed to ingest and process live production and user data to perform shadow testing and A/B optimization. This ingestion of untrusted data represents a potential surface for indirect prompt injection, where malicious input could attempt to influence routing decisions or target models. However, the skill focuses heavily on defensive guardrails, such as circuit breakers and cost limits, to mitigate the impact of malicious activity.
- Ingestion points: Processes "real user data" and "live production data" as described in the Shadow Deployment phase.
- Boundary markers: No explicit data sanitization or input delimiters are specified for the content being routed between providers.
- Capability inventory: Performs network requests to external LLM providers (OpenAI, Anthropic, Gemini) through a routing mechanism.
- Sanitization: Lacks specific instructions for sanitizing user-provided content before it is interpolated into prompts or passed to external APIs.
Audit Metadata