trading-behavior-clustering

trading-behavior-clustering is a Statistical modelling skill for AI agents, published by aifinlab in the FinClaw repository on GitHub. Skillspace rates trading-behavior-clustering F (53/100) and it passed the safety scan; the rating is based on static analysis only.

交易行为聚类助手，适用于券商客户分析、行为研究、精准营销、风险识别等场景。 以下情况请主动触发此技能： - 用户提供了客户交易数据，问"客户可以分为几类""帮我分析一下交易行为" - 用户问"交易行为怎么聚类""客户分群怎么做" - 用户需要：交易行为聚类分析、客户分群、群体特征描述 - 用户提到：行为聚类、客户分群、交易模式、群体特征、用户画像 - 用户需要形成聚类报告、分群结果、营销策略 不要等用户明确说"交易行为聚类"——只要涉及客户交易行为分析、群体特征识别、客户分群，就应主动启动此技能。

Grade
F
Quality
53 / 100
Safety
Passed
GitHub stars
208

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

Our two independent classifiers differ on this skill's category, so treat the placement as provisional.

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

View source on GitHubaifinlab/FinClaw

Our review

Architecture
73 / 100
Maturity
Basic: a single SKILL.md
Security scan
No issues found
License
Apache-2.0
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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