sentence-transformers
Pass
Audited by Gen Agent Trust Hub on Oct 1, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill provides documentation and Python code samples for using the
sentence-transformerslibrary, which is a widely used and reputable framework for text embeddings. - [SAFE]: All external references and downloads target trusted or well-known services. It references models from Hugging Face (
huggingface.co/sentence-transformers,allenai/specter,microsoft/codebert-base) and documentation from the official SBERT site (sbert.net). - [SAFE]: Dependencies listed in the frontmatter (
sentence-transformers,transformers,torch) and the installation instructions (pip install sentence-transformers) are standard, official packages from PyPI. - [SAFE]: The code snippets demonstrate legitimate use of the library, including model loading, embedding generation, semantic search, and integration with established tools like LangChain and LlamaIndex.
- [SAFE]: The metadata and Agent Operating Procedure (AOP) focus on correct usage, validation of results, and following official documentation, which are best practices for AI agents.
Audit Metadata