Beta Lead Scoring

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📖 技能介绍


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

小葱技能站7w4.net,专业的AI技能分享平台。

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

Notes

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

🤖 AI 评测

这个 Skill 存在严重的虚假宣传问题。文档说用了先进的人工智能模型,但实际上只是简单的规则计算,质量令人失望。优点是使用说明清晰、示例数据完整;但核心功能夸大了能力,属于误导用户。谨慎使用,或等待开发者修复后版本。

📊 多维度评分

适应性3.8
规范性4
有效性3.6
可靠性3.3
可信度4.3

📁 包含文件 (4 个)

📄 SKILL.md 1002 B
📄 _meta.json 132 B
📄 sample_leads.csv 194 B
📄 score.py 1.6 KB