score-analyzer

Analyzes multi-round evaluation scores to compute statistics and assign S/A/B rating grades.

410|79|Updated Jan 10, 2026
One-click install
npx skills add https://github.com/VanGong1999/screen-creative-skills --skill score-analyzer-vangong1999
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: score-analyzer
Source: https://github.com/VanGong1999/screen-creative-skills/tree/main/category/novel-screening/score-analyzer
Command: npx skills add https://github.com/VanGong1999/screen-creative-skills --skill score-analyzer-vangong1999

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve? When a novel or IP goes through many rounds of evaluation, the raw scores are scattered and hard to interpret. This Skill aggregates multi-round scoring data, computes statistical indicators, and converts them into a clear S/A/B rating for project greenlighting and IP adaptation decisions. ## Core Features & Use Cases - Score Statistics: Computes evaluation count, first/highest/lowest/average scores, trimmed mean, and high-score frequency across defined score bands. - Rating Classification: Applies explicit rules to assign S (strongly recommended), A (recommended), or B (normal) grades based on 8.5+ and 8.0+ score occurrences. - Structured Reporting: Outputs a standardized analysis report covering overview, statistics, score sequence, and high-score distribution. - Use Case: After 10 rounds of novel evaluation, feed all scoring results in and receive an A-level rating report showing an average of 8.05 with stable score trends, supporting an IP acquisition decision. ## Quick Start Analyze these multi-round evaluation scores and generate a rating report with S/A/B classification.

Frequently Asked Questions about score-analyzer

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

FAQPage Schema
How do I analyze multi-round evaluation scores for a novel or IP?▼

Provide the structured scoring results from each evaluation round, including dimension-level scores. The Skill extracts all scores, computes statistics like average and trimmed mean, and outputs a rating report with an S/A/B grade.

What are the S/A/B rating criteria for score evaluation?▼

S grade requires at least one score of 8.5 or at least eight scores of 8.0. A grade requires at least five scores of 8.0. Anything below the A threshold is classified as B grade.

How many evaluation rounds are needed for reliable score analysis?▼

The Skill recommends at least 10 rounds of evaluation results for meaningful statistics. Fewer rounds still work, but averages and high-score frequency counts become less representative of overall quality.

What statistics does the score analysis report include?▼

The report includes evaluation count, valid score count, first/highest/lowest/average scores, trimmed mean excluding extremes, the full score sequence, and frequency counts across bands such as 8.5+, 8.0-8.4, and below 7.5.

What are the limitations of automated score-based rating?▼

The rating depends entirely on the quality and consistency of input scores; it requires explicit numeric scores in the input data. The analysis is purely quantitative and does not judge qualitative aspects like narrative originality.