mechanistic-interpretability-pyvene

Pass

Audited by Gen Agent Trust Hub on Nov 3, 2026

Risk Level: SAFE
Full Analysis
  • [SAFE]: No security issues were identified in the analyzed files. The skill serves its stated purpose of providing guidance for causal interventions in PyTorch models.
  • [EXTERNAL_DOWNLOADS]: The skill references the installation of pyvene from standard package registries and links to official documentation and repositories hosted by Stanford NLP. These are recognized as trusted or well-known sources.
  • [REMOTE_CODE_EXECUTION]: While the skill illustrates loading models and interventions from the HuggingFace Hub, this is a standard and intended use of the library for research reproducibility and involves well-known services.
  • [COMMAND_EXECUTION]: The shell commands provided in the documentation are restricted to standard library installation routines (pip install).
  • [DATA_EXFILTRATION]: There is no evidence of the skill accessing sensitive file paths or exfiltrating data to external domains.
  • [PROMPT_INJECTION]: The provided instructions are strictly focused on technical implementation and do not contain attempts to override agent constraints or safety guidelines.
Audit Metadata
Risk Level
SAFE
Analyzed
Nov 3, 2026, 06:17 AM