nnsight-remote-interpretability
Pass
Audited by Gen Agent Trust Hub on Oct 1, 2026
Risk Level: SAFEINDIRECT_PROMPT_INJECTIONEXTERNAL_DOWNLOADS
Full Analysis
- [INDIRECT_PROMPT_INJECTION]: The skill facilitates the processing of user-supplied text prompts within a framework that possesses network capabilities for remote model execution.
- Ingestion points: The
trace()method and variouspromptvariables inSKILL.mdandreferences/tutorials.mdingest external text data into the agent's context. - Boundary markers: The provided code examples do not implement delimiters or safety warnings to ignore instructions that could be embedded within the analyzed prompts.
- Capability inventory: The skill utilizes the
nnsightlibrary's capability to perform network operations for remote model execution on the NDIF (National Deep Inference Facility) infrastructure. - Sanitization: No input sanitization or validation of the processed prompts is implemented in the provided workflows.
- [EXTERNAL_DOWNLOADS]: The skill provides instructions to download and use external Python packages and utilizes a remote research service for computation.
- Libraries: Instructions to install
nnsight,torch, and thevllmextension from public registries. - Remote Infrastructure: The skill references the
ndif.usservice andndif-teamGitHub repositories for executing computation graphs on large-scale models.
Audit Metadata