readability

Analyze text readability with Flesch-Kincaid, Gunning Fog, SMOG, and other metrics. Returns objective scores with interpretation and recommendations.

By humanizerai · 492 installs

npx skills add humanizerai/agent-skills --skill readability

Source repository · Upstream listing

Analyze Readability Calculate and display readability metrics for the provided text. Input The user provides text in $ARGUMENTS. If no text provided, ask for it. Metrics to Calculate Core Scores Metric Formula Interpretation Flesch Reading Ease 206.835 1.015(words/sentences) 84.6(syllables/words) 0 100, higher = easier Flesch Kincaid Grade 0.39(words/sentences) + 11.8(syllables/words) 15.59 US grade level Gunning Fog Index 0.4[(words/sentences) + 100(complex words/words)] Years of education SMOG Index 1.043 × √(complex words × 30/sentences) + 3.1291 Grade level Complex words = 3+ syllables Text Statistics Word count Sentence count Average sentence length (words) Average word length (characters) Complex words count and % Passive voice sentences (estimate) Output Format Interpretation Guide Flesch Score Grade Audience 90 100 5th Very easy 80 89 6th Easy 70 79 7th Fairly easy 60 69 8 9th Standard 50 59 10 12th Fairly difficult 30 49 College Difficult 0 29 Graduate Very difficult Recommendations Based on scores, suggest: Sentences to shorten (if avg 20 words) Complex words to simplify Passive voice to convert to active Specific examples of what to fix