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.
소스 정보
- 저장소
- knownasnaffy/prompthound
- 최근 소스 활동
- 2026년 7월 6일 07:03
- 감지된 SKILL.md 언어
- 영어
- 스타
- 0
- 포크
- 1
설치 방법
기본적으로 소스를 먼저 확인하는 Prompt가 선택됩니다. 직접 명령으로 전환하거나 로컬 사본을 다운로드할 수도 있습니다.
소스 파일 검토
설치 여부를 결정하기 전에 SKILL.md와 SkillsMP에 표시된 보조 파일을 읽어 보세요.
파일 탐색기
2 개 파일SKILL.md 표시 중
SKILL.md
소스 지침 · 읽기 전용 미리보기- 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)
GitHub에서 보기