ltv-predictor

ltv-predictor is a Model training & evaluation skill for AI agents, published by liangdabiao in the claude-data-analysis-ultra-main repository on GitHub. Skillspace rates ltv-predictor C (77/100) and it passed the safety scan; the rating is based on static analysis only.

基于RFM模型和回归算法的客户生命周期价值(LTV)预测分析工具,支持电商和零售业务的客户价值预测。使用时需要客户交易数据、订单历史或消费记录,自动进行RFM特征工程、回归建模和价值预测。

Grade
C
Quality
77 / 100
Safety
Passed
GitHub stars
255

Unproven: rated by static analysis only, not yet compared head-to-head.

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

Our review

Architecture
94 / 100
Maturity
Structured: ships references or scripts
Security scan
No issues found
License
Not declared. Check the repository before reusing it.
Adoption
Adopted by 0 other repositories, in 1 collections

Not checked yet

  • Not judged on the rubric yet (not a contender in its category)
  • No blind task eval yet
  • Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

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