name: lead-scoring description: AI-powered B2B lead scoring model. Predicts conversion probability for potential customers using machine learning (LightGBM + SHAP). CSV upload or API integration. metadata: openclaw: emoji: "🎯" requires: bins: [python3] always: false

Lead Scoring Model

AI-powered B2B lead scoring using LightGBM + SHAP for interpretability.

Usage

python3 score.py --input leads.csv --output scores.csv

Features

• CSV upload → scored leads with conversion probability
• Top features driving each score (SHAP)
• Ranked priority list
• Pipeline: LightGBM → SHAP → actionable insights

Input CSV Format

company_size,industry,page_views,email_opens,form_fills,job_title_score
50,tech,120,5,2,8
200,finance,45,2,0,5

Output

lead_id,score,probability,top_factor,risk_level
1,0.85,85%,page_views,hot
2,0.32,32%,low_engagement,cold
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Notes

MIT-0 License | Requires: python3, lightgbm, shap, pandas

這個 Skill 存在嚴重的虛假宣傳問題。文件說用了先進的人工智慧模型，但實際上只是簡單的規則計算，質量令人失望。優點是使用說明清晰、示例資料完整；但核心功能誇大了能力，屬於誤導使用者。謹慎使用，或等待開發者修復後版本。