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
pufferliblibrary 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