Agent skill · software engineering · aiskillstore
minimal-run-and-audit
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 changed. Do not use for training execution, initial repo intake, generic environment setup, paper lookup, target selection, hidden scientific-meaning changes, or end-to-end orchestration by itself.
Why this skill is useful
Adds executable scripts for running commands and generating standardized output files that enhance reproducibility and reporting.
What it needs
Requires python installed locally. About 2k tokens when loaded. Last updated 2026-08-07. 405 stars on the source repository.
What this skill does
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 ../../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. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills aiskillstore/minimal-run-and-audit