# Contributing

Contributions are welcome for runtime portability, deterministic validation, documentation,
benchmark reproducibility, and the sandboxed demo.

Before opening a pull request:

1. keep model proposals separate from external authorization and execution;
2. add a focused regression test for behavior changes;
3. run `pytest -q`, `ruff check .`, `ruff format --check .`, and
   `python scripts/verify_public_release.py`;
4. do not add raw datasets, official or private labels, model checkpoints, credentials, internal
   infrastructure records, or unverified benchmark claims; and
5. preserve all upstream licenses and attribution.

Benchmark changes must identify the dataset revision, split construction, metric, evaluator,
decoding settings, model revision, and sample-level evidence needed to reproduce the claim.