vector-index-tuning

Pass

Audited by Gen Agent Trust Hub on Sep 2, 2026

Risk Level: SAFE
Full Analysis
  • [SAFE]: The skill provides legitimate templates for vector database optimization using standard libraries like hnswlib, scikit-learn, and qdrant-client.
  • [SAFE]: All external references target reputable resources, including official GitHub repositories (Facebook Research/Faiss) and academic benchmarks (ANN Benchmarks).
  • [SAFE]: Python code snippets are well-structured for benchmarking and configuration without any signs of command injection, dynamic execution from untrusted sources, or data exfiltration.
  • [SAFE]: The skill includes explicit safety warnings regarding production reindexing and validation protocols.
Audit Metadata
Risk Level
SAFE
Analyzed
Sep 2, 2026, 06:18 PM
Security Audit — agent-trust-hub — vector-index-tuning