foundation-models
Pass
Audited by Gen Agent Trust Hub on Sep 15, 2026
Risk Level: SAFEINDIRECT_PROMPT_INJECTION
Full Analysis
- [INDIRECT_PROMPT_INJECTION]: The skill provides a framework for processing external data which creates a vulnerability surface for indirect prompt injection.
- Ingestion points: The documentation in
references/getting-started.mddemonstrates that the agent ingests untrusted user input via theLanguageModelSession.respond(to:)method. - Boundary markers: While the skill advises defining the model's role in instructions, it does not explicitly define or enforce boundary markers or delimiters for the user-supplied prompt content.
- Capability inventory: The
references/tool-calling.mdfile demonstrates tools with significant capabilities, including network access viaWeatherServiceand access to sensitive PII through aFindContactToolthat reads contact data. - Sanitization: The skill includes a proactive safety warning in
references/getting-started.mdadvising developers never to interpolate user input into system instructions to prevent prompt injection, which partially mitigates the risk.
Audit Metadata