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style-fingerprint

这是专为中文优化的写作风格指纹工具,核心功能包括从文本/文件提取基础统计、句法模式、词汇偏好等多维度风格特征生成指纹,支持指纹的增删查改、列表查看,还能导出可嵌入提示词的风格指南供AI写作助手调用。典型场景为AI复刻特定中文写作风格,输入支持文本或文件路径,输出为JSON指纹文件或风格指南,纯Python实现无外部依赖。

noah-1106
noah-1106
热度 62.65
最近更新 2026-05-11 17:33:02
分类:数据依赖:代码执行 / 读写文件应用场景:数据处理

安装技能

复制下面的话术发给你的 Agent,它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill: npx secure-skills-cli add style-fingerprint
Metadata
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

# 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