单变量筛选

SkillAI & models

Lets your agent screen variables one at a time and produce a shortlist of candidate explanatory features.

Available today. Use it from your connected AI after setup.

No other account needed.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the 单变量筛选 skill

About this capability

Performs univariate screening and builds a candidate explanatory variable list (feature selection)

What this skill tells your AI

The instructions your AI receives, as published by zafer-liu/data-analysis-agent in skills/screening/SKILL.md and read by ahel’s review.

确认目标变量与候选字段，对每个候选变量执行适当的单变量检验或回归。报告效应方向、效应量、显著性、缺失率和样本量；多重比较时提示假阳性风险，不直接宣称因果。

Use get_schema to identify the target variable, candidate predictors, and source table.
Use query_data to verify field names, missingness, and candidate variable types.
Use run_analysis with analysis_name="Univariate_Screening" for the screening computation.
Use generate_chart on screening rankings or effect result tables after run_analysis succeeds.

Advanced