agency-autonomous-optimization-architect
Pass
Audited by Gen Agent Trust Hub on Oct 5, 2026
Risk Level: SAFEINDIRECT_PROMPT_INJECTION
Full Analysis
- [INDIRECT_PROMPT_INJECTION]: The skill is designed to ingest and evaluate live production data and user inputs to perform shadow testing and A/B optimization between different AI models.
- Ingestion points: SKILL.md identifies "real user data" and "external requests" as the primary data sources processed during shadow testing.
- Boundary markers: The instructions mandate strict mathematical evaluation criteria to ensure objective grading, which helps mitigate accidental obedience to embedded instructions, though specific prompt delimiters are not defined.
- Capability inventory: The agent manages provider execution with timeouts, circuit breakers, and autonomous routing weight updates (SKILL.md).
- Sanitization: The skill emphasizes data-driven grading and financial guardrails rather than specific string sanitization techniques.
- [COMMAND_EXECUTION]: The skill provides a TypeScript example demonstrating intelligent routing logic. This code illustrates how to handle API provider selection and execution with cost-capping and does not involve unsafe shell commands or arbitrary code execution.
- [EXTERNAL_DOWNLOADS]: The skill mentions interacting with established AI service providers (OpenAI, Anthropic, Google Gemini) and scraping APIs. These references are consistent with the skill's stated purpose of optimizing multi-provider AI workflows and do not target untrusted or malicious sources.
Audit Metadata