← 返回
未分类 中文

Word Counter

A comprehensive text analysis tool that counts words, characters, sentences, and paragraphs. Calculates reading time, speaking time, reading level (Flesch-Ki...
一款全面的文本分析工具,可统计字数、字符、句子和段落数量,计算阅读时间、朗读时间和阅读水平(Flesch‑Kincaid)。
openlark openlark 来源
未分类 clawhub v1.0.0 1 版本 100000 Key: 无需
★ 0
Stars
📥 348
下载
💾 2
安装
1
版本
#latest

概述

Word Counter

Overview

This skill provides comprehensive text analysis including word count, character count, sentence/paragraph count, reading/speaking time estimates, readability scoring, and keyword density analysis.

Use Cases

Use when users need to analyze text length, check word count for essays/blogs/social media posts, estimate reading time, assess readability, or analyze keyword frequency for SEO content.

Capabilities

  1. Word Count - Accurate word counting handling multiple spaces, line breaks, and special characters
  2. Character Count - With and without spaces (useful for Twitter, meta descriptions)
  3. Sentence & Paragraph Count - Track document structure
  4. Reading Time - Based on 200 words/minute average
  5. Speaking Time - Based on 130 words/minute natural pace
  6. Reading Level - Flesch-Kincaid grade level estimation
  7. Keyword Density - Top keywords ranked by frequency for SEO analysis

Common Word Count Requirements

Content TypeWord CountReading Time
----------------------------------------
X (Twitter) post40-50< 1 min
Facebook post40-80< 1 min
LinkedIn post50-100< 1 min
Email subject line6-10< 1 min
Meta description25-30< 1 min
Short blog post300-6002-3 min
Standard blog post1,000-1,5005-7 min
Long-form article2,000-3,00010-15 min
College essay500-5,0003-25 min

Usage

Basic Analysis

from scripts.word_counter import analyze_text

result = analyze_text("Your text here...")
print(result)

Command Line

python scripts/word_counter.py "Your text here"
# or
python scripts/word_counter.py --file path/to/file.txt

Scripts

  • scripts/word_counter.py - Main text analysis script

References

  • references/formulas.md - Detailed formulas for reading level and time calculations

版本历史

共 1 个版本

  • v1.0.0 当前
    2026-05-07 19:38 安全 安全

安全检测

腾讯云安全 (Keen)

安全,无风险
查看报告

腾讯云安全 (Sanbu)

安全,无风险
查看报告

🔗 相关推荐

content-creation

文章去AI味工具

user_ab5ae6ee
去除文本中的AI写作痕迹,让文字读起来更像人类写作。当用户要求'去AI味'、'降AI味'、'让回复更像人话'、'润色'、'改写得更自然'时使用。检测并修复:AI高频词汇、过度结构化、虚假客观性、机械化连接词、完美主义陷阱、公式化结尾、过度修
★ 200 📥 30,562
content-creation

Humanizer

biostartechnology
消除AI写作痕迹,使文本更自然真实。基于维基百科"AI写作特征"指南,识别并修正夸张象征、宣传用语、肤浅-ing分析、模糊归因、破折号滥用、三项排比、AI词汇、负面平行结构及冗长连接词等模式。
★ 951 📥 214,297
content-creation

Marketing Skills

jchopard69
访问 23 个营销模块,提供转化率优化(CRO)、SEO、文案撰写、分析、发布、广告和社交媒体的清单、框架及可直接使用的交付物。
★ 149 📥 32,036