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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.

Quellinformationen

Repository
knownasnaffy/prompthound
Letzte Quellaktivität
6. Juli 2026 um 07:03
Erkannte Sprache von SKILL.md
Englisch
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0
Forks
1

Installationsoptionen

Standardmäßig ist der Prompt ausgewählt, der zuerst die Quelle prüft. Sie können zu einem direkten Befehl wechseln oder eine lokale Kopie herunterladen.

Quelldateien prüfen

Lesen Sie SKILL.md und alle von SkillsMP angezeigten Begleitdateien, bevor Sie sich für eine Installation entscheiden.

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SKILL.md wird angezeigt

SKILL.md
Quellanweisungen · Schreibgeschützte Vorschau
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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