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Beta Lead Scoring

该 Skill 提供命令行线索打分脚本，读取含公司规模、行业、页面浏览量、邮件打开数、表单填写数、职位匹配分等字段的 CSV，用 LightGBM 预测转化概率并以 SHAP 给出主要驱动特征，输出含评分、概率、主因和风险等级的排序 CSV；另附示例线索数据。

1477009639zw-blip
1477009639zw-blip
热度 34.92
最近更新 2026-05-11 17:37:34
分类：营销依赖：代码执行 / 读写文件应用场景：市场分析 / 数据处理 / CRM

安装技能

复制下面的话术发给你的 Agent，它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill： npx secure-skills-cli add betaleadscore
Metadata
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

Notes

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