Rigor Run skill for README-first deep learning repo reproduction. Use when the task is specifically to capture or normalize evidence from the selected smoke test or documented inference or evaluation command and write standardized `repro_outputs/` files, including patch notes when repository files c

minimal run and audit Use this as the Rigor Run skill. The installed slug remains minimal run and audit for compatibility. Use the shared operating principles in ../ai research reproduction/references/agent operating principles.md ; this skill should make run evidence auditable without turning every command into a rigid protocol. When to apply After a reproduction target and setup plan exist. When the main skill needs execution evidence and normalized outputs. When a smoke test, documented inference run, documented evaluation run, or other short non training verification is appropriate. When the user already knows what command should be attempted and wants execution plus reporting only. When not to apply During initial repo scanning. When environment or assets are still undefined enough to make execution meaningless. When the task is a literature lookup rather than repository execution. When the user is still deciding which reproduction target should count as the main run. Clear boundaries This skill owns normalized reporting for an attempted command. It may receive execution evidence from the main skill or a thin helper. It does not choose the overall target on its own. It does not perform broad paper analysis. It does not own training startup, resume, or long running training state. It should not normalize risky code edits into acceptable practice. It must not hide changes that alter evaluation, preprocessing, checkpoints, metrics, or other scientific meaning. Input expectations selected reproduction goal runnable commands or smoke commands environment and asset assumptions optional patch metadata Output expectations execution result summary standardized repro outputs/ files SCIENTIFIC CHANGELOG.md for changed scientific meaning and evidence status COMPARABILITY REPORT.md for README/paper/baseline comparability clear distinction between verified, partial, and blocked states PATCHES.md when repo files changed Notes Use references/reporting policy.md , ../ai research reproduction/references/research rigor principles.md , scripts/run command.py , and scripts/write outputs.py .

minimal-run-and-audit