assessing-vector-and-embedding-weaknesses

Pass

Audited by Gen Agent Trust Hub on Jun 23, 2026

Risk Level: SAFE
Full Analysis
  • [EXTERNAL_DOWNLOADS]: The skill installs several well-known and legitimate Python packages for vector database interaction and machine learning analysis (numpy, scikit-learn, sentence-transformers, qdrant-client, chromadb, pinecone-client, weaviate-client, and vec2text) from standard registries.
  • [COMMAND_EXECUTION]: The provided script scripts/agent.py executes commands for querying vector databases and processing embedding data using established client libraries. These operations are necessary for the skill's stated purpose of security auditing.
  • [SAFE]: No malicious patterns, such as prompt injection, unauthorized data exfiltration, or obfuscation, were identified. The skill includes appropriate warnings regarding authorized use and focuses on security assessment within a controlled, authorized scope.
Audit Metadata
Risk Level
SAFE
Analyzed
Jun 23, 2026, 03:40 AM
Security Audit — agent-trust-hub — assessing-vector-and-embedding-weaknesses