opensearch-function-scoring-algorithms

Pass

Audited by Gen Agent Trust Hub on May 18, 2026

Risk Level: SAFE
Full Analysis
  • [SAFE]: The skill serves as an educational and technical reference guide for implementing search ranking algorithms. It includes code snippets in Python, Painless (OpenSearch scripting language), and OpenSearch Query DSL JSON.
  • [EXTERNAL_DOWNLOADS]: The skill references several research papers and engineering blogs from well-known organizations including Airbnb, Pinterest, Google Research, and Microsoft Research. It also links to established technology documentation for OpenSearch and Elasticsearch. These are informative references and do not constitute malicious external downloads.
  • [REMOTE_CODE_EXECUTION]: No patterns of remote script execution or unverifiable dependency installation were found. Python code snippets utilize well-known open-source libraries such as NumPy, SciPy, Gensim, and Sentence-Transformers for educational purposes.
  • [PROMPT_INJECTION]: There are no instructions designed to override agent behavior, bypass safety filters, or extract system prompts. The content is consistently focused on the technical domain of search relevance and evaluation.
Audit Metadata
Risk Level
SAFE
Analyzed
May 18, 2026, 04:46 AM
Security Audit — agent-trust-hub — opensearch-function-scoring-algorithms