vector-databases

Pass

Audited by Gen Agent Trust Hub on Mar 1, 2026

Risk Level: SAFE
Full Analysis
  • [EXTERNAL_DOWNLOADS]: The skill relies on well-known and reputable Python packages for vector search and AI operations, including chromadb, pinecone, weaviate-client, qdrant-client, pymilvus, faiss-cpu, numpy, openai, and tenacity. These dependencies are standard for the skill's documented purpose.
  • [DATA_EXFILTRATION]: The skill communicates with external vector database providers (such as Pinecone, Weaviate, and Qdrant) and the OpenAI API. These network operations are essential to the skill's functionality and target well-known, official service endpoints.
  • [CREDENTIALS_UNSAFE]: The code follows best practices for credential security by using environment variables for API keys and providing clear placeholders in documentation examples. No hardcoded secrets were found.
Audit Metadata
Risk Level
SAFE
Analyzed
Mar 1, 2026, 07:47 PM