openclaw/lead-scoring
1477009639zw-blip/betaleadscore/SKILL.md
AI-powered B2B lead scoring model. Predicts conversion probability for potential customers using machine learning (LightGBM + SHAP). CSV upload or API integration.
$ install --global
skillsauthnpx skillsauth add openclaw/skills lead-scoringInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
Security Scan Results
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
3
Scanners Passed
9
Scanners in report
Clean
TrivyContainer and dependency vulnerability scanner
95%
Clean
SemgrepStatic code analysis for vulnerabilities
95%
Clean
mcp-scan (Snyk)Model Context Protocol security validation
95%
Skipped
Snyk (dep)Open source security scanning
50%
Skipped
Socket.devSupply chain security analysis
50%
Skipped
VirusTotalMulti-engine malware detection
50%
Skipped
CrowdStrikeAdvanced threat intelligence
50%
Skipped
OSV-ScannerOpen Source Vulnerability database check
50%
Skipped
OWASP Dep-Check
50%
Last scanned: Apr 3, 2026, 2:19 AM322.7s1 file scanned
SKILL.md
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
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