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A股XGBoost选股/梯度提升模型。当用户说"XGBoost"、"GBDT"、"梯度提升"、"LightGBM选股"、"树模型选股"、"XGB"、"机器学习选股"时触发。基于 cn-stock-data 获取数据，构建XGBoost/LightGBM选股模型。支持 formal/brief 两种输出风格。
Passed 14 of 22 test cases with the skill, and 12 of 22 without it.
and 1 more in the full report
2 fixed12 passed either way8 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 2 test cases the skill fixed. Same model, same prompt, with and without the skill.
在晨会投研快速汇报中，若采用 brief 简要风格输出A股选股速览，其包含的因子特征数量、IC/ICIR指标以及Top特征分别是什么？
| Checked | Without skill | With skill |
|---|---|---|
| States the model uses 85 features | Missed | Passed |
| Reports ICIR as 1.6 | Missed | Passed |
| Includes 20-day momentum as a top feature | Missed | Passed |
The instructions your model reads when the skill loads.
通过 cn-stock-data skill 获取数据：
test cases passed, vs 12 / 22 without
Published skills whose descriptions closely match this one, with their headline benchmark lift.
More skills from the same source and nearby in the registry, with their headline benchmark lift.