PPQS
WILD CORPUS · github_awesome

PQS 38 (D) - prompt from raw.githubusercontent.com

Source: raw.githubusercontent.com · Scraped 2026-05-04 · Scored 2026-05-04

Score

D
38 / 80
gemma4:latest · local · pqs-v2.0 · canonical
Clarity8 / 10
Specificity9 / 10
Context6 / 10
Constraints4 / 10
Output format5 / 10
Role definition3 / 10
Examples1 / 10
CoT structure2 / 10

The prompt

Build a comprehensive text analysis tool using HTML5, CSS3, and JavaScript. Create a clean interface with text input area and results dashboard. Implement word count, character count, and reading time estimation. Add readability scoring using multiple algorithms (Flesch-Kincaid, SMOG, Coleman-Liau). Include keyword density analysis with visualization. Implement sentiment analysis with emotional tone detection. Add grammar and spelling checking with suggestions. Include text comparison functionality for similarity detection. Support multiple languages with automatic detection. Add export functionality for analysis reports. Implement text formatting and cleaning tools.

This prompt was scraped from a public source. The score reflects the input as written, not the quality of any output it produced. The AI input quality problem is the gap between what people type and what the model can act on.