pufferlib

Pass

Audited by Gen Agent Trust Hub on Apr 9, 2026

Risk Level: SAFE
Full Analysis
  • [SAFE]: No malicious patterns or security vulnerabilities detected across all analyzed files. The skill appears to be a legitimate framework for reinforcement learning.
  • [COMMAND_EXECUTION]: Includes standard command-line interface templates for training and distributed execution (e.g., puffer train, torchrun) which are characteristic of machine learning development workflows.
  • [EXTERNAL_DOWNLOADS]: Mentions the installation of the official pufferlib library via standard package managers and supports integration with well-known machine learning observation platforms such as Weights & Biases and Neptune.
  • [CREDENTIALS_SAFE]: Demonstrates best practices by handling API tokens for logging services as configuration parameters or environment variables rather than using hardcoded secrets.
Audit Metadata
Risk Level
SAFE
Analyzed
Apr 9, 2026, 10:12 PM