Score Analyzer

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.

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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 |

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: GongLingRui
• Source: GongLingRui/screen-creative-skills
• License: MIT

Install and usage instructions live in the source repository linked above.