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analyze-findings

Analyze simulation reports to identify findings, severity levels, and recurring patterns.

Updated May 5, 2026
Search Tags:#analysis#issue prioritization#quality assessment#findings#simulation reports
One-click install
npx skills add https://github.com/AratoAi/claude-code-plugin --skill analyze-findings
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: analyze-findings
Source: https://github.com/AratoAi/claude-code-plugin/tree/main/skills/analyze-findings
Command: npx skills add https://github.com/AratoAi/claude-code-plugin --skill analyze-findings

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps users analyze and interpret simulation reports to identify key findings and areas of concern, saving time on manual data review.

Core Features & Use Cases

  • Report Identification: Find and select relevant simulation reports using workspace and report IDs or run statuses.
  • Findings Retrieval: Gather detailed insights about issues, severity levels, and patterns across multiple findings.
  • Use Case: A QA analyst reviewing test results can use this Skill to generate an executive summary of report quality, highlight critical issues, and prioritize fixes.

Quick Start

Ask the AI to analyze the latest simulation report to get an overview of errors and recommendations.

Frequently Asked Questions about analyze-findings

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

FAQPage Schema
How do I analyze simulation reports to identify critical issues?▼

Identify critical issues in simulation reports by retrieving findings and severity levels to detect recurring patterns. This Skill helps QA analysts generate executive summaries to highlight critical issues and prioritize fixes.

What is the best way to prioritize issues found in AI testing environments?▼

The best way to prioritize issues is by analyzing severity levels and recurring patterns across multiple findings. The Skill evaluates simulation reports to produce quality assessments and highlight areas requiring immediate fixes.

How does analyzing findings from simulation reports improve AI compliance?▼

Analyzing findings improves AI compliance by identifying recurring patterns and severity levels affecting application performance. It provides quality assurance workflows with actionable insights to resolve compliance risks found in the reports.

Can I use workspace and report IDs to retrieve specific findings?▼

Yes, you can use workspace and report IDs to find and select relevant simulation reports. The Skill integrates with list_reports, list_findings, and get_report APIs to gather detailed insights about issues across the specified reports.

Do I need specific APIs to perform a quality assessment of simulation findings?▼

Yes, performing a quality assessment requires integrating with APIs like list_reports, list_findings, and get_report. These APIs enable comprehensive report analysis by supplying the detailed finding data needed for evaluation.

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