pufferlib

Pass

Audited by Gen Agent Trust Hub on Jun 14, 2026

Risk Level: SAFE
Full Analysis
  • [SAFE]: The skill serves as a legitimate technical resource for the PufferLib reinforcement learning library, containing architectural guides and code templates.
  • [SAFE]: All identified Python dependencies, such as pufferlib, torch, and gymnasium, are standard libraries widely used in the machine learning and reinforcement learning communities.
  • [SAFE]: No evidence of prompt injection or attempts to bypass safety filters were found in the instructional content or metadata.
  • [SAFE]: Data handling practices are consistent with standard ML workflows. External logging integrations (WandB, Neptune) are configured using standard parameters without hardcoding sensitive API keys or tokens.
  • [SAFE]: The skill does not employ any form of obfuscation, hidden characters, or deceptive metadata to conceal its intent.
  • [SAFE]: Command execution patterns (e.g., torchrun, puffer train) are documented for their intended purpose of training RL models and do not involve privilege escalation or persistence mechanisms.
Audit Metadata
Risk Level
SAFE
Analyzed
Jun 14, 2026, 09:23 AM
Security Audit — agent-trust-hub — pufferlib