--- 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 |