transport-regression-keeper

Consolidate transport and relaxation time changes into validated impact assessments with drift evidence.

2|Updated Nov 16, 2025
One-click install
npx skills add https://github.com/w5851/Julia_RelaxTime --skill transport-regression-keeper
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: transport-regression-keeper
Source: https://github.com/w5851/Julia_RelaxTime/tree/main/.agents/skills/transport-regression-keeper
Command: npx skills add https://github.com/w5851/Julia_RelaxTime --skill transport-regression-keeper

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Manual regression governance for transport/relaxtime changes is error-prone and time-consuming; this Skill provides a focused framework to map impact, select appropriate test layers, and report evidence.

Core Features & Use Cases

  • Map impact across transport/relaxtime modules and identify affected outputs.
  • Select the narrowest sufficient test layer (unit -> integration -> regression -> validation) for focused verification.
  • Generate and summarize drift evidence to justify baseline updates and ensure traceability.

Quick Start

Run a focused drift verification to map affected modules, pick the minimal test layer, and report evidence.

Frequently Asked Questions about transport-regression-keeper

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

FAQPage Schema
How do I document transport and relaxtime regression drift with numerical evidence?

To document transport regression drift, you map affected modules and consolidate numerical impact assessments into validated evidence. This process identifies output changes and justifies baseline updates with traceable drift data.

How do I select the right test layer for verifying transport changes?

Selecting the right test layer for transport changes requires enforcing testing scope rules to pick the narrowest sufficient layer. You progress from unit to integration to regression to validation for focused verification.

What is the best way to manage baseline updates for scattering rates and relaxation times?

The best way to manage baseline updates for scattering rates and relaxation times is generating summarized drift evidence. This maps numerical impacts and provides the required traceability for baseline changes.

Does this regression framework work for both smoke and full transport workflows?

Yes, this regression framework works for smoke, core, and full transport workflows. It applies cross-section, scattering rate, and relaxation time verification rules across all regression layers to enforce testing scope.

Why do I need to enforce testing scope rules for numerical impact assessments?

You need to enforce testing scope rules for numerical impact assessments to ensure focused verification and prevent error-prone manual governance. Selecting the minimal sufficient test layer validates transport changes accurately.