examples/LIBERO/smoke_tests/                 # the smoke-test tooling
├── scenarios_10.yaml                        #   10-scenario manifest (8 normal + 2 abnormal_probe)
├── run_10_smoke_tests.py                    #   runner: validates model/server, runs each scenario via the official eval path, writes summaries
├── _libero_rollout_worker.py                #   single-episode worker (runs in the LIBERO venv): records action chunks, optional sim-only probes
├── visualize_smoke_run.py                   #   builds visual_report.html + per-scenario action plots + visual_summary.{csv,json}
├── make_video_montage.py                    #   builds review_montage.mp4 + per-scenario captioned clips + review_playlist.html (needs ffmpeg)
├── review_smoke_tests.py                    #   CLI: list/play the rollouts of a run
├── ACTIVATION_HOOK_NOTES.md                 #   where to insert future SAE activation capture (module names, hook points)
└── README.md                                #   setup & run instructions

tests/test_libero_smoke_tests.py             # lightweight tests for the manifest + summary writer

outputs/libero_smoke_tests/20260512_122756/  # the completed run (10/10 rollouts OK, 0 errors; success=false everywhere — these are 50-step smoke rollouts, not a benchmark)
├── summary.json, summary.md                 #   run-level results + the printed comparison table
├── visual_report.html                       #   self-contained report: embedded videos + plots + comparison table
├── visual_summary.csv, visual_summary.json  #   per-scenario action-stat table
├── review_montage.mp4                        #   ~22 s: all 10 scenarios back-to-back with captions
├── review_clips/<scenario_id>.mp4           #   10 short captioned clips
├── review_playlist.html                     #   the montage + each clip + metadata + links
├── plots/<scenario_id>/                     #   action_norm / action_mean_per_dof / gripper_over_time / action_delta_norm  (.png)
└── <scenario_id>/                           #   ×10
    ├── video.mp4                            #     rendered rollout (agentview | wrist, 512×256)
    ├── frames/                              #     decoded PNG frames (25 each; 8 for the short-timeout probe)
    ├── actions.npy                          #     recorded action chunks, shape (n_calls, 1, 16, 7) float32   [DoF column order: gripper, pitch, roll, x, y, yaw, z]
    ├── metadata.json, rollout_summary.json  #     scenario config + results
    └── stdout.log, stderr.log               #     the worker subprocess logs

outputs/_setup_logs/                         # deployment record: uv install / LIBERO setup / server / smoke-run logs (no secrets)

LICENSE                                       # Apache-2.0 (same license as upstream Isaac-GR00T)
NOTICE                                        # attribution