verl-e2e-testing

Pass

Audited by Gen Agent Trust Hub on Jul 22, 2026

Risk Level: SAFE
Full Analysis
  • [COMMAND_EXECUTION]: Executes internal validation scripts such as run_ppo_trainer_megatron.sh and runs pytest suites to verify model provider and configuration logic.
  • [EXTERNAL_DOWNLOADS]: Clones the verl project repository from GitHub and pulls official Docker images (verlai/verl) to provide the necessary runtime environment.
  • [EXTERNAL_DOWNLOADS]: Downloads the nvidia-modelopt package from the official NVIDIA PyPI registry (pypi.nvidia.com), which is a trusted vendor source for this skill's author.
  • [COMMAND_EXECUTION]: Uses standard environment configuration techniques, such as modifying PYTHONPATH, to ensure that local code checkouts are prioritized over installed packages during testing.
  • [COMMAND_EXECUTION]: Utilizes Ray for distributed execution, including environment variable propagation to worker nodes to maintain consistency across the cluster.
Audit Metadata
Risk Level
SAFE
Analyzed
Jul 22, 2026, 07:46 AM
Security Audit — agent-trust-hub — verl-e2e-testing