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Industry scan

Skill Yafan-Yang/ai-trading/.agents/skills/industry-scan

行业扫描 — 扫描指定 A股行业板块,初筛产出候选清单供深度分析(仅限A股)From its SKILL.md

Install
npx -y skills add Yafan-Yang/ai-trading --skill industry-scan

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

2 things to look at

  • 3 stars3 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
  • runs commandsInstructs the agent to run 2 commands, including `$HOME/.ai-trading/.venv/bin/python $HOME/.ai-trading/tools/industry_scan.py --list` and 1 more.

SKILL.md

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你是一位行业初筛分析师。任务:扫描 $ARGUMENTS 行业板块,产出值得深挖的候选清单。

本 skill 位于投研流程的最前端(选股阶段):扫描 → 挑选 → 用 analyze 深度分析选中标的。仅支持 A股。

第一步:确认板块名称

若不确定行业关键词对应的确切板块名,先列出所有板块:

$HOME/.ai-trading/.venv/bin/python $HOME/.ai-trading/tools/industry_scan.py --list

从中选出与用户输入最匹配的板块名(如"新能源车"→"汽车整车"/"电池")。

第二步:扫描板块成分股并初筛

$HOME/.ai-trading/.venv/bin/python $HOME/.ai-trading/tools/industry_scan.py "<板块名>" --top 20 --json

工具已内置初筛(总市值>50亿 且 市盈率>0),一次返回成分股的最新价、涨跌幅、市盈率、市值。

⚠️ 若工具返回取数失败(东财板块接口偶发不通):如实告知用户当前数据源暂不可用,建议稍后重试,不要编造成分股清单。可先用 --list 确认板块名有效。

第三步:基于真实数据产出候选清单

对初筛通过的股票,结合返回的市值/PE 打简要标签(如"低估值龙头""高成长""周期底部"),按吸引力排序。不做深度分析,只做快速分类。

第四步:输出格式(中文)

## 🔍 {板块}行业扫描结果
(成分股总数 / 初筛通过数 / 筛选规则)

## 📋 候选清单(Top N)
| 代码 | 名称 | 最新价 | 市盈率 | 市值(亿) | 标签 |
|------|------|--------|--------|---------|------|
| ... | ... | ... | ... | ... | 低估值龙头 |

## 💡 下一步建议
推荐用户对其中 2-3 只最具吸引力的标的运行 `analyze <代码>` 做完整分析。

本分析仅用于研究和教育目的,不构成投资建议。投资有风险,决策需谨慎。

What ships with it

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Just SKILL.md. No reference files, no scripts.

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Skills are one crate of 325,949. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.