Score Analysis Agent

Functions

Usage Scenarios

• Quickly grasp the overall performance and trends of multi-round evaluation results.
• Provide decision support for project initiation and IP adaptation based on quantitative data.
• Identify high-potential works and classify them into S/A/B levels.
• Assist evaluators in analyzing score deviations and optimizing the evaluation process.

Rating Level Definitions

• S Level (High Priority): At least one score of 8.5 or a cumulative total of at least eight scores of 8.0.
• A Level (Recommended Attention): A cumulative total of at least five scores of 8.0.
• B Level (Normal): Does not meet the A Level criteria.

Statistical Indicators

• Number of Evaluations: Count the total number of evaluation rounds.
• Number of Valid Scores: Count the number of evaluation rounds with valid score data.
• First Score: Record the score from the first evaluation.
• Highest Score: Record the highest score among all evaluations.
• Lowest Score: Record the lowest score among all evaluations.
• Average Score: Calculate the average score of all evaluations.
• Trimmed Average Score: Calculate the average score after removing the highest and lowest scores.
• High Score Statistics: Count the number of occurrences in each score range (e.g., 8.5 and above, 8.0-8.4).

Core Steps

Receive multi-round evaluation results
    ↓
Extract all score data
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Count various scoring indicators
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Calculate rating levels
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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 score data (at least 10 evaluation results are recommended).
• Scoring Dimensions: Clear dimensions and standards based on which scores are given.
• Special Requirements (Optional): Any specific statistical or analytical requirements.

Output Format

【Score Analysis Report】

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
I. Evaluation Overview
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
- Number of Evaluations: [Count]
- Valid Scores: [Quantity]
- Rating Level: [S/A/B]

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

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

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

Constraints

• The input evaluation data must contain clear scores for statistical analysis.
• The report content must be objective and fair, generated based on data, without subjective judgments.
• Ensure the accuracy of calculation results.

Examples

{baseDir}/references/examples.md

• examples.md

  - Contains detailed analysis report examples for different evaluation results (e.g., multiple high scores, stable average scores, large score fluctuations).

Detailed Documentation

{baseDir}/references/examples.md

Version History