outlines
Pass
Audited by Gen Agent Trust Hub on Oct 1, 2026
Risk Level: SAFEEXTERNAL_DOWNLOADSINDIRECT_PROMPT_INJECTION
Full Analysis
- [EXTERNAL_DOWNLOADS]: The skill provides instructions for downloading and loading pre-trained models from the Hugging Face Hub. The examples specifically reference models from well-known and reputable organizations such as Microsoft, Meta, Mistral AI, Google, and Alibaba (Qwen).
- [INDIRECT_PROMPT_INJECTION]: Several examples (e.g., in
references/examples.md) demonstrate the extraction of structured data from untrusted external text. While this represents a common indirect prompt injection surface, the primary purpose of the Outlines library is to mitigate these risks by using finite state machines to enforce strict adherence to a pre-defined JSON schema or regex, preventing the model from outputting arbitrary or malicious commands. - [REMOTE_CODE_EXECUTION]: Configuration examples in
references/backends.mdmention thetrust_remote_code=Trueflag for loading models via vLLM. This is a standard parameter required to load certain non-standard model architectures from remote repositories. In the provided context, it is used with well-known model families from trusted vendors.
Audit Metadata