rag-evaluation

Pass

Audited by Gen Agent Trust Hub on Sep 16, 2026

Risk Level: SAFEEXTERNAL_DOWNLOADSINDIRECT_PROMPT_INJECTION
Full Analysis
  • [EXTERNAL_DOWNLOADS]: The skill installs established Python libraries for RAG evaluation, including ragas, langchain-openai, datasets, and pandas from official registries.
  • [INDIRECT_PROMPT_INJECTION]: The skill processes data from RAG systems (questions, answers, and contexts) for evaluation by an LLM.
  • Ingestion points: The test_cases and Dataset structures in SKILL.md act as containers for untrusted external data.
  • Boundary markers: None identified in the provided code snippets.
  • Capability inventory: No high-risk capabilities like file system modification or shell execution are present.
  • Sanitization: No specific content filtering is implemented for the data being evaluated.
Audit Metadata
Risk Level
SAFE
Analyzed
Sep 16, 2026, 09:03 AM