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.