Text Stats

核心功能含词/字符/句/段落统计、阅读时长估算、多种可读性评分、关键词密度计算，支持中日韩等多语言，仅依赖Python标准库。适用于内容优化、SEO分析、写作提升等场景，通过命令行调用，可按需单独查询某类统计，输入为文本/Markdown文件，输出结构化统计结果。

zacjiang

热度 84.45

最近更新 2026-05-11 17:29:24

分类：数据依赖：代码执行应用场景：数据处理 / 报告撰写

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 text-stats

Metadata

name: text-stats
description: 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.
author: zacjiang
version: 1.0.0
tags: text, analysis, readability, word count, statistics, seo, content, writing

Text Stats

Analyze any text document for readability, word count, keyword density, and more. Perfect for content optimization, SEO analysis, or writing improvement.

Usage

Full analysis

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

Word count only

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

Keyword density

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

Reading time

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

Output Example

📊 Text Analysis: article.md
━━━━━━━━━━━━━━━━━━━━━━━━━━
Words:          2,847
Characters:     16,203
Sentences:      142
Paragraphs:     38
Avg words/sent: 20.0
Reading time:   ~11 min (at 250 wpm)

Readability:
  Flesch-Kincaid Grade: 8.2 (8th grade)
  Flesch Reading Ease:  62.1 (Standard)
  Gunning Fog Index:    10.4

Top Keywords:
  AI (47x, 1.65%)
  agent (31x, 1.09%)
  data (28x, 0.98%)

Features

📏 Word, character, sentence, paragraph counts
⏱️ Estimated reading time
📖 Readability scores (Flesch-Kincaid, Gunning Fog, Flesch Reading Ease)
🔑 Keyword frequency and density
🇨🇳 CJK character counting (Chinese characters = words)
🪶 Zero dependencies — Python stdlib only

Dependencies

None! Uses only Python standard library.