a65adcc2e5
Sources: extracted from two upstream archives (skill-repo, skills-main),
merged with the following policy:
- 15 broken symlinks (pointing to /Users/jameslee/.cc-switch/skills or
../../.agents/skills on a foreign machine) discarded
- 3 real name collisions with identical content (ai-pair, ifind-http-api,
zhipu-websearch) kept as one copy
- Functional overlaps deduped keeping the strongest variant:
- docx family: kept docx (official, full toolchain) + docx-cn
(GB/T 9704 Chinese official-document constants),
dropped docx_writer (no scripts, name collided with docx)
- humanizer family: kept humanizer-zh (6 zh reference docs),
dropped humanizer (en, redundant for CN workflow)
- Skills that only ran in a foreign environment removed:
ablemind-ops, app-publish, hlb-design-system, openclaw-adj-skill,
claude-driver
- alphapai excluded from this public repo because its SKILL.md hard-coded
live credentials
Result: 25 skills, 572 files, ~7.5 MB.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
68 lines
2.3 KiB
Markdown
68 lines
2.3 KiB
Markdown
## 股票历史列表（历史每天股票列表）
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----
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接口：bak_basic
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描述：获取备用基础列表，数据从2016年开始
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限量：单次最大7000条，可以根据日期参数循环获取历史，正式权限需要5000积分。
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**输入参数**
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名称 | 类型 | 必选 | 描述
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---- | ----- | ---- | ----
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trade_date | str | N | 交易日期
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ts_code | str | N | 股票代码
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**输出参数**
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名称 | 类型 | 默认显示 | 描述
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--- | ---- | ---- | ----
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trade_date | str | Y | 交易日期
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ts_code | str | Y | TS股票代码
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name | str | Y | 股票名称
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industry | str | Y | 行业
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area | str | Y | 地域
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pe | float | Y | 市盈率（动）
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float_share | float | Y | 流通股本（亿）
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total_share | float | Y | 总股本（亿）
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total_assets | float | Y | 总资产（亿）
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liquid_assets | float | Y | 流动资产（亿）
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fixed_assets | float | Y | 固定资产（亿）
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reserved | float | Y | 公积金
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reserved_pershare | float | Y | 每股公积金
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eps | float | Y | 每股收益
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bvps | float | Y | 每股净资产
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pb | float | Y | 市净率
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list_date | str | Y | 上市日期
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undp | float | Y | 未分配利润
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per_undp | float | Y | 每股未分配利润
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rev_yoy | float | Y | 收入同比（%）
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profit_yoy | float | Y | 利润同比（%）
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gpr | float | Y | 毛利率（%）
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npr | float | Y | 净利润率（%）
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holder_num | int | Y | 股东人数
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**接口示例**
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```python
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pro = ts.pro_api()
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df = pro.bak_basic(trade_date='20211012', fields='trade_date,ts_code,name,industry,pe')
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```
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**数据样例**
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trade_date ts_code name industry pe
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0 20211012 300605.SZ 恒锋信息 软件服务 56.4400
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1 20211012 301017.SZ 漱玉平民 医药商业 58.7600
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2 20211012 300755.SZ 华致酒行 其他商业 23.0000
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3 20211012 300255.SZ 常山药业 生物制药 24.9900
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4 20211012 688378.SH 奥来德 专用机械 24.9600
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... ... ... ... ... ...
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4529 20211012 688257.SH 新锐股份 机械基件 0.0000
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4530 20211012 688255.SH 凯尔达 机械基件 0.0000
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4531 20211012 688211.SH 中科微至 专用机械 0.0000
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4532 20211012 605567.SH 春雪食品 食品 0.0000
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4533 20211012 605566.SH 福莱蒽特 染料涂料 0.0000 |