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A股结构变点检测/趋势拐点识别。当用户说"结构变点"、"structural break"、"拐点"、"趋势改变"、"什么时候变了"、"Chow检验"时触发。量化检测价格序列的结构性变化。支持formal和brief风格。
Passed 10 of 16 test cases with the skill, and 7 of 16 without it.
and 7 more in the full report
7 fixed7 passed either way5 still failing3 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 7 test cases the skill fixed. Same model, same prompt, with and without the skill.
在 brief 输出风格中，“前后对比”维度要求呈现的具体内容是什么？
| Checked | Without skill | With skill |
|---|---|---|
| States that the brief style pre-and-post comparison addresses whether the trend changed. | Missed | Passed |
The instructions your model reads when the skill loads.
SCRIPTS="$SKILLS_ROOT/cn-stock-data/scripts"
python "$SCRIPTS/cn_stock_data.py" kline --code [CODE] --freq daily --start [日期]
python "$SCRIPTS/cn_stock_data.py" quote --code [CODE]
python "$SCRIPTS/cn_stock_data.py" finance --code [CODE]
比较断点前后的均值/波动率/趋势斜率变化
关联断点时间与重大事件（政策/业绩/市场）
| 维度 | formal | brief |
|---|---|---|
| 断点检测 | 多方法+统计检验 | 最近断点 |
| 前后对比 | 均值/波动率变化 | 趋势变了吗 |
| 归因 | 事件关联分析 | 可能原因 |
| 默认风格：brief。 |
# 调用 skill
result = run_skill({
"param1": "value1",
test cases passed, vs 7 / 16 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.