category/novel-screening/novel-evaluator/SKILL.md
严格细致判断与评分故事文本,从市场潜力、创新属性、内容亮点维度分析质量。适用于小说初筛选、多维度评估打分
npx skillsauth add gonglingrui/screen-creative-skills novel-evaluatorInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
对故事文本进行严格细致的评估和评分,从市场潜力、创新属性、内容亮点等多维度分析故事质量。
判断故事在市场上的表现潜力。
判断故事是否具备创新性。
从故事内容层面判断是否具备较强的可看性。
【市场潜力】:
- 受众适合度:[分析与评估] 评分:[打分]
- 讨论热度:[分析与评估] 评分:[打分]
- 稀缺性:[分析与评估] 评分:[打分]
- 播放数据:[分析与评估] 评分:[打分]
【创新属性】:
- 核心选点:[综述分析] 评分:[打分]
- 故事概念:[综述分析] 评分:[打分]
- 故事设计:[综述分析] 评分:[打分]
【内容亮点】:
- 主题立意:[分析] 评分:[打分]
- 故事情境:[分析] 评分:[打分]
- 人物设定:[分析] 评分:[打分]
- 人物关系:[分析] 评分:[打分]
- 情节桥段:[分析] 评分:[打分]
【总体评价】:[分析与评价] 总评分:[打分]
【跟进建议】:[开发建议]
请参见 {baseDir}/references/examples.md 获取详细评估示例。该文件包含了多种故事类型(如都市逆袭、甜宠爱情、悬疑推理等)的完整评估报告和分析说明。
参见 {baseDir}/references/ 目录获取更多文档:
guide.md - 完整评估指南和框架说明examples.md - 更多场景示例| 版本 | 日期 | 变更 | |------|------|------| | 2.1.0 | 2026-01-11 | 优化 description 字段,使其更精简并符合命令式语言规范;添加 allowed-tools (Read) 和 model (opus) 字段;优化功能、使用场景、评估维度、评分标准、核心步骤的描述,使其更符合命令式语言规范;添加约束条件和示例部分。 | | 2.0.0 | 2026-01-11 | 按官方规范重构 | | 1.0.0 | 2026-01-10 | 初始版本 |
tools
Orchestrate and coordinate one-click generation workflow for major plot points and detailed plot points. Suitable for structured analysis of long stories, complex tasks requiring modular agent collaboration
testing
Orchestrate the full plot-point dramatic function analysis pipeline — text preprocessing, parallel segment analysis, result integration, and report generation — for long-form story content. Use when analyzing plot points and dramatic functions in long texts, producing structured dramatic analysis reports, or coordinating multi-step story analysis workflows.
tools
Intelligently truncate text while preserving content integrity and semantic coherence. Suitable for long text preprocessing, ensuring text does not exceed specified length limits
tools
Split text into specified-sized chunks while maintaining semantic integrity. Suitable for long text batch processing, dividing text into processable segments