nw-tr-review-criteria

Score root-cause analyses across six review dimensions with 0-10 ratings.

Updated Apr 15, 2026
One-click install
npx skills add https://github.com/StudentCristian/nWave-github --skill nw-tr-review-criteria
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: nw-tr-review-criteria
Source: https://github.com/StudentCristian/nWave-github/tree/main/.github/skills/nw-tr-review-criteria
Command: npx skills add https://github.com/StudentCristian/nWave-github --skill nw-tr-review-criteria

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill provides a standardized framework to evaluate root-cause analyses by assigning structured scores to six review dimensions, ensuring consistency and traceability across RCA projects.

Core Features & Use Cases

  • Dimension-based scoring for causality logic, evidence quality, alternative hypotheses, five-why depth, completeness, and solution traceability.
  • Guided evaluation with explicit criteria and severity levels to surface gaps and actionable improvements.
  • Use Case: Analysts apply the rubric to post-incident RCA reports to produce a transparent, auditable findings summary.

Quick Start

Provide a structured RCA assessment by applying the six dimensions to the incident report.

Frequently Asked Questions about nw-tr-review-criteria

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

FAQPage Schema
What is structured root-cause analysis quality assessment?

Root-cause analysis quality assessment is evaluating incident reports and post-incident reviews by scoring six dimensions, including causality logic, evidence quality, and five-why depth, to ensure consistency and traceability across RCA projects.

How do I review an engineering RCA report for completeness and evidence quality?

Review an engineering RCA report by applying a six-dimension rubric that scores causality logic, alternative hypotheses, five-why depth, and solution traceability from 0-10, generating an overall score and an auditable findings summary.

Can I use this RCA rubric for customer support investigations and post-incident reviews?

Yes, you can use this RCA rubric for customer support investigations and post-incident reviews. The framework applies its six-dimension scoring criteria to any structured investigation to surface gaps and actionable improvements.

What's the best way to standardize scoring across multiple root-cause analysis projects?

The best way to standardize scoring across root-cause analysis projects is applying a guided evaluation rubric with explicit criteria and severity levels, producing a transparent approval_status field and an overall score for every incident report.

What are the six review dimensions used to evaluate a root-cause analysis?

The six review dimensions used to evaluate a root-cause analysis are causality logic, evidence quality, alternative hypotheses, five-why depth, completeness, and solution traceability, each scored from 0-10 to calculate an overall score.

When do I need an approval_status field in my RCA quality review?

You need an approval_status field in your RCA quality review when generating a transparent, auditable findings summary for incident reports, ensuring that reviewer identity and overall scores are formally documented for compliance.