minimal-run-and-audit

Capture and normalize execution evidence from short non-training commands into structured repro_outputs bundles.

515|11|Updated Mar 30, 2026
One-click install
npx skills add https://github.com/lllllllama/ai-research-workflow-skills --skill minimal-run-and-audit
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: minimal-run-and-audit
Source: https://github.com/lllllllama/ai-research-workflow-skills/tree/main/skills/minimal-run-and-audit
Command: npx skills add https://github.com/lllllllama/ai-research-workflow-skills --skill minimal-run-and-audit

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This skill automates the capture and normalization of execution evidence from quick non-training commands to support reproducible results.

Core Features & Use Cases

  • Executes short non-training commands and normalizes outputs into a standardized repro bundle.
  • Tracks repository changes with git status snapshots to record patches when repository files are modified.
  • Produces a reproducibility-ready package (repro_outputs) including summaries, command logs, and patch documentation for auditability.

Quick Start

Run a short non-training command and have this skill generate a standardized repro_outputs bundle.

Frequently Asked Questions about minimal-run-and-audit

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I capture execution evidence for reproducibility from short non-training commands?

To capture execution evidence for reproducibility, run your short non-training commands through a script that executes them, records outputs, detects git status diffs, and generates a structured bundle with summaries, command logs, and patch documentation.

What is included in a reproducibility evidence bundle for evaluation runs?

A reproducibility evidence bundle includes SUMMARY.md, COMMANDS.md, LOG.md, and PATCHES.md. These files document execution logs, command history, and patch notes generated when repository files are modified during the run.

Can I use this skill to generate patch notes from git status diffs during smoke tests?

Yes, you can generate patch notes from git status diffs during smoke tests. The skill tracks repository changes with git status snapshots to record patches when repository files are modified, including them in the repro_outputs bundle.

What's the best way to standardize inference run outputs for auditability?

The best way to standardize inference run outputs for auditability is to execute commands through a normalization script that captures outputs, logs commands, and produces a reproducibility-ready package with structured markdown documentation.

Does this skill support batch testing commands or only single execution runs?

The skill supports batch testing commands as indicated by its keyword coverage. It executes short non-training commands and normalizes their outputs into a standardized repro bundle, applicable to smoke tests, inference runs, or evaluation commands.