Agent skill · Documentation

readability-scorer

Calculate readability scores (Flesch-Kincaid, Gunning Fog, SMOG) and grade levels for text. Analyze writing complexity and get improvement suggestions.

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill readability-scorer-dkyazzentwatwa-chatgpt-skills-2 --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 6 KB
Bundled scripts: none
Path: skills/analysis/readability-scorer-dkyazzentwatwa-chatgpt-skills-2/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Readability Scorer Analyze text readability using industry-standard formulas. Get grade level estimates, complexity metrics, and suggestions for improving clarity. ## Quick Start ```python from scripts.readability_scorer import ReadabilityScorer # Score text scorer = ReadabilityScorer() scores = scorer.analyze("Your text to analyze goes here.") print(f"Grade Level: {scores['grade_level']}") print(f"Flesch Reading Ease: {scores['flesch_reading_ease']}") ``` ## Features - **Multiple Formulas**: Flesch-Kincaid, Gunning Fog, SMOG, Coleman-Liau, ARI - **Grade Level**: US grade level estimate - **Reading Ease**: 0-100 ease score - **Text Statistics**: Words, sentences, syllables, complex words - **Batch Analysis**: Process multiple documents - **Comparison**: Compare readability across texts ## API Reference ### Initialization ```python scorer = ReadabilityScorer() ``` ### Analysis ```python scores = scorer.analyze(text) # Returns: # { # 'flesch_reading_ease': 65.2, # 'flesch_kincaid_grade': 8.1, # 'gunning_fog': 10.2, # 'smog_index': 9.5, # 'coleman_liau': 9.8, # 'ari': 8.4, # 'grade_level': 8.5, # Average # 'reading_time_minutes': 2.3, # 'stats': { # 'words': 250, # 'sentences': 15,

What's inside
Steps it walks through
  1. Quick Start
  2. Features
  3. API Reference
  4. Initialization
  5. Analysis
  6. Individual Scores
  7. Batch Analysis
  8. Comparison
  9. CLI Usage
  10. CLI Arguments
  11. Score Interpretation
  12. Flesch Reading Ease
  13. Grade Level Scale
  14. Examples
Ships with 1 file
  • metadata.json
Commands it runs
Analyze text
python readability_scorer.py --text "Your text here"
Analyze file
python readability_scorer.py --input document.txt
Compare files
python readability_scorer.py --compare doc1.txt doc2.txt
Batch analyze directory
python readability_scorer.py --input-dir ./docs --output report.csv
Specific formula only
python readability_scorer.py --input doc.txt --formula flesch
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About this skill
What does the readability-scorer skill do?

Calculate readability scores (Flesch-Kincaid, Gunning Fog, SMOG) and grade levels for text. Analyze writing complexity and get improvement suggestions.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill readability-scorer-dkyazzentwatwa-chatgpt-skills-2 --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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