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BytesAgainBytesAgain
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Text Detection

by @raghulpasupathi

Analyzes text using NLP, GPT pattern detection, and regex matching to identify AI-generated content with configurable accuracy and speed.

Versionv1.0.0
Installs2
πŸ“‹ Tips & Best Practices

Low Detection Accuracy

1. Enable all recommended skills 2. Use advanced detection stack 3. Increase minTextLength (>100 chars) 4. Combine multiple methods and average scores

High False Positives

1. Increase confidence thresholds 2. Enable strictMode 3. Add custom pattern exclusions 4. Test on known human text

Slow Performance

1. Use hash-toolkit for caching 2. Switch to fast mode configuration 3. Reduce enabled models 4. Process text in background


*For implementation examples and architecture details, see AGENT.SPEC.md and SKILLS_MANAGEMENT.md.*

View on ClawHub
TERMINAL
clawhub install text-detection

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