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技能集市 > AI智能 > text-stats
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文本统计分析

技能标识：text-stats

Analyze text documents for word count, reading time, readability scores (Flesch-Kincaid, Gunning Fog), keyword density, and sentence statistics. Supports multiple languages including CJK. Zero dependencies.

作者：admin | 来源记录：ClawHub
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版本
V 1.0.0
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来源与检测标记为平台登记信息，并不代表已展示可复核的检测报告。使用前请核对版本、依赖和所需权限，建议先在隔离环境中运行。
概述
安装方式
版本历史

文本统计分析

文本统计

分析任何文本文档的可读性、字数、关键词密度等。非常适合内容优化、SEO分析或写作改进。

用法

完整分析

bash python3 {baseDir}/scripts/text_stats.py analyze document.txt python3 {baseDir}/scripts/text_stats.py analyze document.md

仅统计字数

bash python3 {baseDir}/scripts/text_stats.py wc document.txt

关键词密度

bash python3 {baseDir}/scripts/text_stats.py keywords document.txt --top 20

阅读时间

bash python3 {baseDir}/scripts/text_stats.py time document.txt

输出示例

📊 文本分析：article.md
━━━━━━━━━━━━━━━━━━━━━━━━━━
字数： 2,847
字符数： 16,203
句子数： 142
段落数： 38
平均每句字数： 20.0
阅读时间： ~11分钟（按250词/分钟）

可读性：
Flesch-Kincaid年级水平：8.2（八年级）
Flesch阅读易读性： 62.1（标准）
Gunning Fog指数： 10.4

热门关键词：
AI（47次，1.65%）
agent（31次，1.09%）
data（28次，0.98%）

功能特性

  • - 📏 字数、字符数、句子数、段落数统计
  • ⏱️ 预估阅读时间
  • 📖 可读性评分（Flesch-Kincaid、Gunning Fog、Flesch阅读易读性）
  • 🔑 关键词频率和密度
  • 🇨🇳 CJK字符计数（中文字符按词计算）
  • 🪶 零依赖——仅使用Python标准库

依赖项

无！仅使用Python标准库。

标签

skill ai

通过对话安装

以下为平台配置的接入选项，并非逐项实测通过。能否安装取决于客户端支持、技能来源和运行环境：

OpenClaw WorkBuddy QClaw Kimi Claude

方式一：安装 SkillHub 和技能

帮我安装 SkillHub 和 text-stats-1776121179 技能

方式二：设置 SkillHub 为优先技能安装源

设置 SkillHub 为我的优先技能安装源，然后帮我安装 text-stats-1776121179 技能

通过命令行安装

skillhub install text-stats-1776121179

下载

⬇ 下载 text-stats v1.0.0（免费）

文件大小: 3.6 KB | 发布时间: 2026-4-14 10:52

v1.0.0 最新 2026-4-14 10:52
Initial release of text-stats.

- Analyze text files for word, character, sentence, and paragraph counts
- Calculate reading time and readability scores (Flesch-Kincaid, Gunning Fog, Flesch Reading Ease)
- Extract keyword frequency and density
- Supports multilingual analysis, including CJK character counting
- Runs with zero dependencies (Python standard library only)

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