Setup & Installation
openclaw skills install @raghulpasupathi/nlp-toolkit
Or with the ClawHub CLI, for registry-managed skill folders outside a full OpenClaw workspace:
npx clawhub install nlp-toolkit
What This Skill Does
Analyzes text using statistical NLP measures to estimate whether it was written by a human or generated by AI. Computes perplexity, burstiness, and Shannon entropy scores, then combines them into a confidence rating.
Runs entirely client-side with no external API calls, so text is never sent to a third-party detection service.
When to use it
- Screening submitted essays for AI authorship
- Flagging AI-generated support tickets before human review
- Auditing content pipelines for model-generated text
- Comparing writing samples before and after AI tool adoption
- Spot-checking blog drafts for undisclosed AI use
Example Workflow
Here's how your AI assistant might use this skill in practice.
INPUT
User asks: Is this 200-word paragraph AI-generated?
AGENT
- 1Pass the text to analyzeText with default thresholds
- 2Calculate perplexity from unique-to-total word ratio
- 3Measure burstiness as coefficient of variation across sentence lengths
- 4Compute Shannon entropy over character frequency distribution
- 5Combine three scores into a single confidence percentage
OUTPUT
{ isAI: true, confidence: 78, metrics: { perplexity: 32.4, burstiness: 0.21, entropy: 4.1 }, explanation: 'Low perplexity and uniform burstiness suggest AI generation' }