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
code
Receive multi-round evaluation results
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Extract all scoring data
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Calculate various scoring metrics
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Calculate rating grades
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Generate comprehensive evaluation report
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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
code
[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 |