Skip to main content

score-analyzer

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

Zur Installation springen

Quellinformationen

Repository
VanGong1999/screen-creative-skills
Letzte Quellaktivität
11. Januar 2026 um 08:00
Erkannte Sprache von SKILL.md
Englisch
Sterne
415
Forks
81

Installationsoptionen

Standardmäßig ist der Prompt ausgewählt, der zuerst die Quelle prüft. Sie können zu einem direkten Befehl wechseln oder eine lokale Kopie herunterladen.

Quelldateien prüfen

Lesen Sie SKILL.md und alle von SkillsMP angezeigten Begleitdateien, bevor Sie sich für eine Installation entscheiden.

Datei-Explorer
2 Dateien

SKILL.md wird angezeigt

SKILL.md
Quellanweisungen · Schreibgeschützte Vorschau
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
2026-01-11T00:00:00.000Z
license
MIT
compatibility
Claude Code 1.0+
maintainer
Gong Fan
allowed-tools
[]
model
opus
changelog
[{"version":"2.1.0","date":"2026-01-11T00:00:00.000Z","changes":["[Truncated]","[Truncated]","[Truncated]","[Truncated]"]},{"version":"2.0.0","date":"2026-01-11T00:00:00.000Z","changes":["[Truncated]","[Truncated]","[Truncated]"]},{"version":"1.0.0","date":"2026-01-10T00:00:00.000Z","changes":["[Truncated]"]}]
# 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 |
Auf GitHub ansehen