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A股行业研究/板块分析。当用户说"行业研究"、"板块分析"、"行业全景"、"sector overview"、"XX行业怎么样"、"XX板块前景"、"行业对比"、"产业链分析"时触发。通过 cn-stock-data 获取行业内主要公司数据，结合 web 搜索获取行业政策、市场规模、竞争格局等信息，生成结构化行业研究报告。支持券商行业报告风格（formal）和个人行业笔记风格（brief）。不适用于个股深度分析（用 a-share-earnings-analysis）或个股估值对标（用 a-share-comps）。
Passed 10 of 17 test cases with the skill, and 10 of 17 without it.
and 3 more in the full report
4 fixed10 passed either way6 still failing3 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 4 test cases the skill fixed. Same model, same prompt, with and without the skill.
I want to analyze institutional money flow and 1-year historical trading trends across companies in the semiconductor packaging sector. Should I query quarterly fund holdings reports from SEC filings or run local stock data CLI scripts for Northbound funds and daily price bars?
| Checked | Without skill | With skill |
|---|---|---|
| The response calls python cn_stock_data.py with the north_flow subcommand. | Missed | Passed |
| The script invocation for price bars specifies daily frequency with a start date set to 1 year prior. | Missed | Passed |
The instructions your model reads when the skill loads.
SCRIPTS="$SKILLS_ROOT/cn-stock-data/scripts"
# 行业内主要公司行情（市值、PE、PB 等）
python "$SCRIPTS/cn_stock_data.py" quote --code [CODE1],[CODE2],...
# 各公司财务指标
python "$SCRIPTS/cn_stock_data.py" finance --code [CODE]
# 各公司近 1 年日线（行业趋势对比）
python "$SCRIPTS/cn_stock_data.py" kline --code [CODE] --freq daily --start [1年前日期]
# 北向资金（行业层面资金偏好）
python "$SCRIPTS/cn_stock_data.py" north_flow
补充：通过 web 搜索获取行业政策、市场规模、产业链结构、行业新闻。
通过 web 搜索获取：
test cases passed, vs 10 / 17 without
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