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text-stats

Analyze text files for word count, character count, line count, sentence count, reading time, speaking time, readability scores (Flesch Reading Ease, Flesch-Kincaid Grade Level), and vocabulary statistics. Use when counting words, analyzing readability, estimating reading time, or getting text metrics for documents, essays, blog posts, or any text content.

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knownasnaffy/prompthound
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6 de julio de 2026 a las 07:03
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SKILL.md
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name
text-stats
description
Analyze text files for word count, character count, line count, sentence count, reading time, speaking time, readability scores (Flesch Reading Ease, Flesch-Kincaid Grade Level), and vocabulary statistics. Use when counting words, analyzing readability, estimating reading time, or getting text metrics for documents, essays, blog posts, or any text content.
# Text Stats Analyze text for word count, readability, reading time, and more. Reads files or stdin. ## Quick Start ```bash # Analyze a file python3 scripts/text_stats.py README.md # Multiple files python3 scripts/text_stats.py file1.txt file2.txt # From stdin echo "The quick brown fox jumps over the lazy dog." | python3 scripts/text_stats.py # JSON output python3 scripts/text_stats.py essay.md -f json # Compact (key metrics only) python3 scripts/text_stats.py chapter.txt --compact ``` ## Output Metrics | Metric | Description | |--------|-------------| | Words | Total word count | | Characters | Total characters (with and without spaces) | | Lines | Total and non-blank line count | | Sentences / Paragraphs | Count of each | | Syllables | Estimated syllable count | | Unique Words | Vocabulary diversity | | Avg Word/Sentence Length | Average sizes | | Reading Time | Estimated at 238 WPM | | Speaking Time | Estimated at 150 WPM | | Flesch Reading Ease | 0-100 scale (higher = easier) | | Flesch-Kincaid Grade | US grade level equivalent | | Difficulty | Easy / Standard / Fairly Difficult / Difficult / Very Difficult | ## Options | Flag | Description | |------|-------------| | `-f, --format` | `plain` or `json` output | | `--compact` | Show only words, sentences, reading time, grade, difficulty | ## Notes - No external dependencies (Python 3 stdlib only) - Handles UTF-8 text with graceful fallback for encoding errors - Syllable counting is heuristic-based (English-optimized)
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