score-analyzer

Analyze multi-round evaluation scores and compute S/A/B rating levels.

330|71|Updated Jan 10, 2026
One-click install
npx skills add https://github.com/GongLingRui/screen-creative-skills --skill score-analyzer
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: score-analyzer
Source: https://github.com/GongLingRui/screen-creative-skills/tree/main/category/novel-screening/score-analyzer
Command: npx skills add https://github.com/GongLingRui/screen-creative-skills --skill score-analyzer

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Analyzes multi-round evaluation scores to compute rating levels and produce a structured, comparable performance report, helping teams quickly understand trends and prioritize actions.

Core Features & Use Cases

  • Aggregates and analyzes scores from multiple evaluation rounds (min, max, average, trimmed mean).
  • Computes rating levels (S/A/B) and generates trend-based insights for project screening and IP evaluation.
  • Produces structured reports suitable for decision-making and stakeholder communication.

Quick Start

Provide a structured set of multi-round evaluation results to generate the scoring report.

Frequently Asked Questions about score-analyzer

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

FAQPage Schema
How do I compute S/A/B rating levels from multi-round evaluation scores?

To compute S/A/B rating levels from multi-round evaluation scores, you need to provide structured score data. The analyzer aggregates results by calculating minimum, maximum, average, and trimmed mean metrics to generate a structured performance report.

What is the best way to analyze multi-round IP screening scores for project evaluation?

Analyzing multi-round IP screening scores involves aggregating evaluation data across multiple criteria to identify trends. The process produces a structured report with S/A/B classifications, helping teams quickly prioritize actions and compare creative assets for decision-making.

How do I generate a structured ranking report from multi-criteria creative scoring data?

Generating a structured ranking report from multi-criteria creative scoring requires structured score inputs. The system evaluates the data, computes rating levels, and outputs a comparable performance report with trends and S/A/B classification for stakeholder communication.

Does this evaluation score analyzer work without structured data inputs?

No, this evaluation score analyzer requires structured score data to function properly. Inputs must include multi-round evaluation results to successfully compute rating levels, analyze trends, and produce the structured report suitable for project screening.

What statistics are included when analyzing multi-round project evaluation scores?

When analyzing multi-round project evaluation scores, the statistics include minimum, maximum, average, and trimmed mean calculations. These metrics form the basis for computing S/A/B rating levels and generating trend-based insights for your structured report.

Can I use trimmed mean calculations for IP evaluation scores across multiple rounds?

Yes, you can use trimmed mean calculations for IP evaluation scores across multiple rounds. The analyzer specifically computes trimmed mean alongside minimum, maximum, and average statistics to ensure accurate S/A/B classification and trend analysis.