Score Analyzer

by GongLingRui

data

Analyze multi-round evaluation result scoring data, calculate various metrics, calculate rating grades. Suitable for analyzing scoring trends, calculating S/A/B ratings

Skill Details

Repository Files

2 files in this skill directory


name: score-analyzer description: Analyze multi-round evaluation result scoring data, calculate various metrics, calculate rating grades. Suitable for analyzing scoring trends, calculating S/A/B ratings category: novel-screening version: 2.1.0 last_updated: 2026-01-11 license: MIT compatibility: Claude Code 1.0+ maintainer: Gong Fan allowed-tools: [] model: opus changelog:

  • version: 2.1.0 date: 2026-01-11 changes:
    • type: improved content: Optimized description field to be more concise and comply with imperative language standards
    • type: changed content: Changed model to opus
    • type: improved content: Optimized descriptions for functionality, usage scenarios, rating grade definitions, statistical metrics, core steps, input requirements, and output format to comply with imperative language standards
    • type: added content: Added constraints, examples, and detailed documentation sections
  • version: 2.0.0 date: 2026-01-11 changes:
    • type: breaking content: Restructured according to Agent Skills official specifications
    • type: improved content: Optimized description, used imperative language, streamlined main content
    • type: added content: Added license and compatibility optional fields
  • version: 1.0.0 date: 2026-01-10 changes:
    • type: added content: Initial version

Score Analysis Agent

Functionality

Analyze scoring data from multiple evaluation rounds, calculate various scoring metrics, and calculate rating grades (S Strong Focus/A Suggested Focus/B Ordinary).

Usage Scenarios

  • Quickly grasp overall performance and trends of multi-round evaluation results
  • Provide decision support for project approval and IP adaptation based on quantitative data
  • Identify high-potential works for S/A/B grading
  • Assist evaluators in analyzing scoring deviations to optimize evaluation processes

Rating Grade Definitions

  • S Grade (Strong Focus): At least one 8.5 score or at least eight 8.0 scores accumulated
  • A Grade (Suggested Focus): At least five 8.0 scores accumulated
  • B Grade (Ordinary): Does not meet A Grade standards

Statistical Metrics

  • Evaluation Count: Total evaluation rounds
  • Valid Score Count: Evaluation rounds with valid scoring data
  • First Score: Record first evaluation score
  • Highest Score: Record highest score among all evaluations
  • Lowest Score: Record lowest score among all evaluations
  • Average Score: Calculate average score of all evaluations
  • Trimmed Mean Score: Average score after removing highest and lowest scores
  • High Score Statistics: Count occurrences in each score range (8.5 and above, 8.0-8.4, etc.)

Core Steps

Receive multi-round evaluation results
    ↓
Extract all scoring data
    ↓
Calculate various scoring metrics
    ↓
Calculate rating grades
    ↓
Generate comprehensive evaluation report
    ↓
Output structured results

Input Requirements

  • Evaluation Results: Structured text containing multi-round evaluation scoring data (recommend at least 10 evaluation results)
  • Scoring Dimensions: Clear dimensions and standards for scoring
  • Special Requirements (optional): Any specific statistical or analysis requirements

Output Format

[Score Analysis Report]

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
I. Evaluation Overview
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
- Evaluation Count: [count]
- Valid Scores: [count]
- Rating Grade: [S/A/B]

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
II. Score Statistics
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
- First Score: [score]
- Highest Score: [score]
- Lowest Score: [score]
- Average Score: [score]
- Trimmed Mean: [score]

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
III. Score Sequence
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
1. [score]
2. [score]
...

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
IV. High Score Statistics
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
- 8.5 and above: [count]
- 8.0-8.4: [count]
- 7.5-7.9: [count]
- 7.4 and below: [count]

Constraints

  • Input evaluation data must contain clear scores for statistical analysis
  • Report content must be objective and fair, based on data generation without subjective judgment
  • Ensure calculation results are accurate

Examples

See {baseDir}/references/examples.md for more detailed examples:

  • examples.md - Contains detailed analysis report examples for different evaluation results (multiple high scores, stable average scores, high score fluctuation, etc.)

Detailed Documentation

See {baseDir}/references/examples.md for detailed guidance and cases on score analysis.


Version History

Version Date Changes
2.1.0 2026-01-11 Optimized description field; changed model to opus; optimized descriptions for functionality, usage scenarios, rating grade definitions, statistical metrics, core steps, input requirements, and output format; added constraints, examples, and detailed documentation sections
2.0.0 2026-01-11 Restructured according to official specifications
1.0.0 2026-01-10 Initial version

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Skill Information

Category:Data
License:MIT
Version:2.1.0
Allowed Tools:[]
Last Updated:1/11/2026