agent-platform-rag-engine-management
Pass
Audited by Gen Agent Trust Hub on May 28, 2026
Risk Level: SAFE
Full Analysis
- Authentication and Environment Management: The skill guides users through authenticating with Google Cloud using the gcloud CLI and setting up a Python virtual environment. These are standard practices for secure local development and cloud interaction.- Official SDK Integration: Operations for listing, inspecting, and querying RAG corpora are handled through the vertexai and google-genai libraries. Using these official SDKs ensures compatibility and adherence to vendor-supported communication patterns.- Retrieval-Augmented Generation (RAG) Surface: The skill involves fetching and processing data from external RAG corpora to provide grounded answers.
- Ingestion points: Content is ingested through rag.retrieval_query and model generation tools as described in SKILL.md.
- Boundary markers: There are no explicit instructions provided to the agent to treat retrieved RAG context as data rather than instructions.
- Capability inventory: The skill uses shell commands for environment configuration and package management in SKILL.md.
- Sanitization: The provided code does not include explicit sanitization of the content retrieved from the RAG corpus before it is processed by the model.
Audit Metadata