Data Science CV Repro Lab

Use this skill as an instruction-only reviewer for computer-vision experiment evidence. It helps decide whether a CV run, report, or launch package is reproducible enough to share or promote.

Review Workflow

1. Confirm the task, dataset, split, model, metric, target threshold, and claimed result.
2. Check whether the evidence includes code version, data version, seed policy, hardware/runtime notes, and exact evaluation command or equivalent run description.
3. Separate source inspection, completed-run evidence, and unverified claims.
4. Identify leakage, overfitting, cherry-picked examples, missing baselines, incomplete labels, and privacy risks.
5. Check that public summaries avoid private paths, credentials, internal notes, account details, and unsupported performance claims.
6. Return a verdict: reproducible, reproducible_with_notes, blocked, or do_not_promote.

Boundaries