nnsight-remote-interpretability
Pass
Audited by Gen Agent Trust Hub on Oct 29, 2026
Risk Level: SAFEINDIRECT_PROMPT_INJECTIONEXTERNAL_DOWNLOADS
Full Analysis
- [INDIRECT_PROMPT_INJECTION]: The skill facilitates the processing of user-supplied prompts within a tracing context, which constitutes a surface for indirect prompt injection.
- Ingestion points: Arbitrary strings are passed to the
model.trace(prompt)method as seen inSKILL.mdandreferences/tutorials.md. - Boundary markers: The examples provided do not demonstrate the use of delimiters or specific instructions to the model to ignore potential injections within the analyzed text.
- Capability inventory: The skill uses the
nnsightlibrary to record and execute computation graphs, including the capability to send these graphs to remote NDIF servers whenremote=Trueis specified. - Sanitization: No evidence of input validation, filtering, or escaping of the prompt content is present in the documentation.
- [EXTERNAL_DOWNLOADS]: The skill references and facilitates connection to the NDIF (National Deep Inference Facility) infrastructure at
ndif.usfor remote execution of model internals analysis. This is a core feature of the nnsight library for handling large-scale models. - [CREDENTIALS_UNSAFE]: The documentation provides appropriate guidance for managing sensitive API keys for the NDIF platform by suggesting the use of environment variables (
NDIF_API_KEY) or dedicated configuration objects, rather than hardcoding credentials.
Audit Metadata