rhai.upgrade-assessment

Analyze RHOAI version transitions with four independent reviewer personas.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/lburgazzoli/claude-plugins --skill rhai-upgrade-assessment
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: rhai.upgrade-assessment
Source: https://github.com/lburgazzoli/claude-plugins/tree/main/skills/rhai.upgrade-assessment
Command: npx skills add https://github.com/lburgazzoli/claude-plugins --skill rhai-upgrade-assessment

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pyyaml, and includes scripts (resource) components.

What problem does it solve?

Multi-persona upgrade assessment for RHOAI version transitions. Spawns four independent clean-context agent reviewers (admin, engineer, solution-architect, SRE) to assess upgrade risks.

Core Features & Use Cases

  • Orchestrates four distinct personas to assess upgrade impact.
  • Enforces strict input validation, state persistence, and synthesis of cross-persona findings.
  • Supports static (pre-upgrade) and runtime considerations (future).

Quick Start

Run the tool with --source <version> --target <version> to start a static upgrade assessment.

Frequently Asked Questions about rhai.upgrade-assessment

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

FAQPage Schema
How do I assess RHOAI upgrade risks before applying a version transition?

To assess RHOAI upgrade risks, you can run a multi-persona upgrade assessment that spawns four independent clean-context reviewers (admin, engineer, solution-architect, SRE) to analyze version transitions and synthesize cross-persona findings into a final risk report.

What is multi-persona synthesis for upgrade assessment?

Multi-persona synthesis for upgrade assessment is a process where four distinct independent reviewers evaluate version transitions from different perspectives, then combine their findings to produce a comprehensive, reproducible risk assessment metadata output.

How do I run a static pre-upgrade assessment for RHOAI?

You run a static pre-upgrade assessment by executing the provided Python scripts with the --source and --target version arguments, which triggers strict input validation, stepwise context building, and cross-persona synthesis deterministically.

Do I need Python and PyYAML to perform an RHOAI upgrade risk assessment?

Yes, you need Python and the PyYAML dependency installed, as the upgrade assessment relies on underlying Python scripts and prompts to operate deterministically and generate reproducible metadata.

Can I use this upgrade assessment tool for runtime considerations after an RHOAI upgrade?

Runtime considerations for upgrade assessment are listed as a future feature, meaning the tool currently focuses on static pre-upgrade analysis rather than post-upgrade runtime monitoring.

Why use independent personas for RHOAI upgrade analysis instead of a single review?

Using independent personas with clean contexts for upgrade analysis prevents bias and surfaces diverse risks across admin, engineer, solution-architect, and SRE perspectives, which are then synthesized into a unified risk assessment.