langchain-rag
Pass
Audited by Gen Agent Trust Hub on Aug 16, 2026
Risk Level: SAFEPROMPT_INJECTION
Full Analysis
- [INDIRECT_PROMPT_INJECTION]: The skill provides implementation templates for Retrieval Augmented Generation (RAG) that ingest data from external sources.
- Ingestion points: The code examples utilize
CheerioWebBaseLoaderfor web scraping andPDFLoaderfor local file ingestion (SKILL.md). - Boundary markers: The system prompt template (
使用以下上下文回答问题:\n\n${context}) lacks explicit delimiters (e.g., XML tags) or instructions to the model to ignore any instructions embedded within the retrieved context. - Capability inventory: The skill's templates do not include high-risk capabilities such as arbitrary command execution, file system modifications, or network exfiltration logic beyond the loaders themselves.
- Sanitization: There is no demonstrated sanitization or filtering of the retrieved content before it is interpolated into the model prompt.
- [EXTERNAL_DOWNLOADS]: The skill includes code examples that fetch content from
https://docs.langchain.com. This targets the official documentation of a well-known service and is a standard developmental use case.
Audit Metadata