Skill: noah-1106/style-fingerprint (version 1.0.0)

--- name: style-fingerprint description: | Analyze and save Chinese writing style fingerprints. Extracts syntax patterns, lexical preferences, rhetorical features from text. Saves fingerprints to ./fingerprints/ for writing agents to use. No external dependencies - pure Python implementation. 分析和保存中文写作风格指纹。从文本中提取句法模式、词汇偏好、修辞特征。 将指纹保存到 ./fingerprints/ 目录供写作助手使用。 无外部依赖 - 纯 Python 实现。 metadata: openclaw: requires: bins: ["python3"] emoji: 🎨 category: writing commands: - name: analyze description: Analyze text/file and save fingerprint | 分析文本/文件并保存指纹 args: - name: text flag: --text required: false description: Text content to analyze | 要分析的文本内容 - name: file flag: --file required: false description: File path to analyze | 要分析的文件路径 - name: name flag: --name required: true description: Fingerprint name (for saving) | 指纹名称（用于保存） - name: list description: List all saved fingerprints | 列出所有保存的指纹 - name: show description: Show fingerprint details | 显示指纹详情 args: - name: name flag: --name required: true - name: delete description: Delete a fingerprint | 删除指纹 args: - name: name flag: --name required: true - name: export description: Export style guide for writing agent | 导出写作助手指南 args: - name: name flag: --name required: true - name: output flag: --output required: false description: Output file path | 输出文件路径 --- # Style Fingerprint | 写作风格指纹 **English**: Analyze Chinese writing style and save fingerprints for AI writing agents. **中文**: 分析中文写作风格并保存指纹，供 AI 写作助手使用。 --- ## Quick Start | 快速开始 ```bash # Analyze text | 分析文本 python3 style_fingerprint.py analyze --text "你的文本内容" --name "我的风格" # Analyze file | 分析文件 python3 style_fingerprint.py analyze --file ./article.txt --name "作者A" # List saved fingerprints | 列出保存的指纹 python3 style_fingerprint.py list # Show fingerprint details | 显示指纹详情 python3 style_fingerprint.py show --name "我的风格" # Export style guide for writing agent | 导出写作助手指南 python3 style_fingerprint.py export --name "我的风格" --output ./guide.txt ``` --- ## What It Analyzes | 分析维度 **English**: - **Basic Stats**: Sentence length, rhythm, comma density - **Syntax Patterns**: Rhetorical questions, passive voice, ellipsis - **Lexical Fingerprint**: Top words, word diversity - **Logic Flow**: Transition word preferences - **Rhetoric**: Metaphors, sensory description types **中文**: - **基础统计**: 句子长度、节奏感、逗号密度 - **句法模式**: 修辞问句、被动语态、省略号使用 - **词汇指纹**: 高频词汇、词汇多样性 - **逻辑流**: 过渡词偏好 - **修辞手法**: 隐喻、感官描述类型 --- ## Storage | 存储 **English**: Fingerprints are saved in `./fingerprints/` as JSON files. **中文**: 指纹以 JSON 格式保存在 `./fingerprints/` 目录中。 --- ## For Writing Agents | 供写作助手使用 **English**: Use `export` command to get a compact style guide that can be included in prompts. **中文**: 使用 `export` 命令获取紧凑的风格指南，可嵌入到提示词中使用。 --- ## Features | 特性 **English**: - ✅ **No external dependencies** - Pure Python implementation - ✅ **Chinese optimized** - Designed for Chinese text analysis - ✅ **Persistent storage** - Saves fingerprints to `./fingerprints/` - ✅ **Writing agent ready** - Export compact style guides **中文**: - ✅ **无外部依赖** - 纯 Python 实现 - ✅ **中文优化** - 专为中文文本分析设计 - ✅ **持久化存储** - 将指纹保存到 `./fingerprints/` - ✅ **写作助手就绪** - 导出紧凑的风格指南


Security scan verdicts — ClawScan: suspicious | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (HIGH)