Metadata-Version: 2.4
Name: vla-robustness-kit
Version: 0.1.0
Summary: Simulator-light diagnostics for VLA policy robustness.
Author-email: AuraOne <opensource@auraone.ai>
License-Expression: MIT
Keywords: robotics,vla,robustness,evals,lerobot
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Science/Research
Classifier: Programming Language :: Python :: 3
Requires-Python: >=3.10
Description-Content-Type: text/markdown
License-File: LICENSE
Dynamic: license-file

# vla-robustness-kit

`vla-robustness-kit` generates lightweight robustness diagnostics for
vision-language-action policies. It perturbs task instructions, camera and
lighting metadata, embodiment metadata, and task phase order, then reports
failure clusters and follow-up data collection recommendations.

The default runner uses a deterministic mock policy. No simulator, GPU, or real
robot is required for local tests.

These reports are diagnostics, not robot safety claims.

## Quick start

```bash
python -m pip install -e .
vla-robustness-kit run examples/mock_episode_set --policy mock --out report.md
```

## Output

The report includes:

- Perturbation family pass rates.
- Failure clusters.
- Recommendations for additional data collection.
- A clear diagnostic-only warning.

