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A股板块价差/行业估值差分析。当用户说"板块价差"、"sector spread"、"行业估值差"、"板块分化"、"分化有多大"时触发。量化分析板块间价差和估值差异。支持formal和brief风格。
Passed 14 of 21 test cases with the skill, and 11 of 21 without it.
and 6 more in the full report
9 fixed7 passed either way3 still failing5 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 9 test cases the skill fixed. Same model, same prompt, with and without the skill.
Which script command sub-function fetches daily market candle data for A-share industry indices in this ecosystem?
| Checked | Without skill | With skill |
|---|---|---|
| Uses the cn_stock_data.py script with the kline subcommand | 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]
过度分化→可能反转
| 维度 | formal | brief |
|---|---|---|
| 价差 | 完整行业价差矩阵 | 最大价差 |
| 分化度 | 离散度时序 | 当前分化水平 |
| 回归信号 | 历史分位分析 | 是否过度分化 |
| 默认风格：brief。 |
# 调用 skill
test cases passed, vs 11 / 21 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.