minimal-run-and-audit

Sub-skill for the execution-evidence and reporting phase of README-first AI 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 changed. Do not use for initial repo intake, generic environment setup, paper lookup, target selection, or end-to-end orchestration by itself.

minimal-run-and-audit

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 training startup 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 should not normalize risky code edits into acceptable practice.

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
clear distinction between verified, partial, and blocked states
PATCHES.md when repo files changed

Notes

Use references/reporting-policy.md and scripts/write_outputs.py.