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.