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>
123 lines
6.3 KiB
Markdown
123 lines
6.3 KiB
Markdown
## 港股通十大成交股
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----
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接口：ggt_top10
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描述：获取港股通每日成交数据，其中包括沪市、深市详细数据，每天18~20点之间完成当日更新
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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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ts_code | str | N | 股票代码（二选一）
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trade_date | str | N | 交易日期（二选一）
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start_date | str | N | 开始日期
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end_date | str | N | 结束日期
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market_type | str | N | 市场类型 2：港股通（沪） 4：港股通（深）
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**输出参数**
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名称 | 类型 | 描述
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--- | ---- | ----
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trade_date | str | 交易日期
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ts_code | str | 股票代码
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name | str | 股票名称
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close | float | 收盘价
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p_change | float | 涨跌幅
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rank | str | 资金排名
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market_type | str | 市场类型 2：港股通（沪） 4：港股通（深）
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amount | float | 累计成交金额（元）
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net_amount | float | 净买入金额（元）
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sh_amount | float | 沪市成交金额（元）
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sh_net_amount | float | 沪市净买入金额（元）
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sh_buy | float | 沪市买入金额（元）
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sh_sell | float | 沪市卖出金额
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sz_amount | float | 深市成交金额（元）
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sz_net_amount | float | 深市净买入金额（元）
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sz_buy | float | 深市买入金额（元）
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sz_sell | float | 深市卖出金额（元）
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**接口用法**
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```python
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pro = ts.pro_api()
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pro.ggt_top10(trade_date='20180727')
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```
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或者
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```python
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pro.query('ggt_top10', ts_code='00700', start_date='20180701', end_date='20180727')
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```
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**数据样例**
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trade_date ts_code name close p_change rank market_type \
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0 20180727 00175 吉利汽车 18.42 -3.2563 4.0 2
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1 20180727 00175 吉利汽车 18.42 -3.2563 4.0 4
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2 20180727 00581 中国东方集团 6.60 5.9390 NaN 4
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3 20180727 00607 丰盛控股 3.48 -2.5210 NaN 4
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4 20180727 00700 腾讯控股 373.00 -0.4803 1.0 2
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5 20180727 00700 腾讯控股 373.00 -0.4803 1.0 4
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6 20180727 00763 中兴通讯 13.74 0.8811 NaN 4
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7 20180727 00914 海螺水泥 49.10 2.1852 NaN 4
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8 20180727 00939 建设银行 7.11 -0.5594 2.0 2
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9 20180727 01088 中国神华 18.24 3.2843 9.0 2
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10 20180727 01288 农业银行 3.81 0.0000 5.0 2
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11 20180727 01299 友邦保险 68.65 0.5124 6.0 2
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12 20180727 01317 枫叶教育 7.07 1.1445 NaN 4
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13 20180727 01398 工商银行 5.82 0.0000 3.0 2
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14 20180727 01448 福寿园 7.60 -4.6424 NaN 4
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15 20180727 01918 融创中国 25.25 -0.3945 10.0 2
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16 20180727 02208 金风科技 10.30 4.9949 NaN 4
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17 20180727 02382 舜宇光学科技 138.60 0.8734 8.0 2
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18 20180727 02382 舜宇光学科技 138.60 0.8734 8.0 4
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19 20180727 03988 中国银行 3.69 0.0000 7.0 2
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amount net_amount sh_amount sh_net_amount sh_buy \
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0 476991220.0 -71294840.0 182183940.0 -30957820.0 75613060.0
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1 294807280.0 -71294840.0 182183940.0 -30957820.0 75613060.0
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2 49196800.0 23544640.0 NaN NaN NaN
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3 44903050.0 -36431000.0 NaN NaN NaN
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4 519061900.0 -219372420.0 383183900.0 -189541460.0 96821220.0
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5 654939900.0 -219372420.0 383183900.0 -189541460.0 96821220.0
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6 94728576.0 5410088.0 NaN NaN NaN
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7 97702200.0 97505000.0 NaN NaN NaN
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8 379189670.0 -294782730.0 379189670.0 -294782730.0 42203470.0
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9 75536270.0 30045150.0 75536270.0 30045150.0 52790710.0
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10 143294570.0 19808330.0 143294570.0 19808330.0 81551450.0
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11 114038360.0 -112839500.0 114038360.0 -112839500.0 599430.0
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12 50733740.0 13866820.0 NaN NaN NaN
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13 237510790.0 162518450.0 237510790.0 162518450.0 200014620.0
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14 54901320.0 24257620.0 NaN NaN NaN
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15 75175350.0 -4871850.0 75175350.0 -4871850.0 35151750.0
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16 83730480.0 775296.0 NaN NaN NaN
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17 272358740.0 130884350.0 108526330.0 85936290.0 97231310.0
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18 163832410.0 130884350.0 108526330.0 85936290.0 97231310.0
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19 108853650.0 -106781530.0 108853650.0 -106781530.0 1036060.0
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sh_sell sz_amount sh_net_amount sz_buy sz_sell
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0 106570880.0 112623340.0 -40337020.0 36143160.0 76480180.0
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1 106570880.0 112623340.0 -40337020.0 36143160.0 76480180.0
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2 NaN 49196800.0 23544640.0 36370720.0 12826080.0
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3 NaN 44903050.0 -36431000.0 4236025.0 40667025.0
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4 286362680.0 135878000.0 -29830960.0 53023520.0 82854480.0
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5 286362680.0 135878000.0 -29830960.0 53023520.0 82854480.0
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6 NaN 94728576.0 5410088.0 50069332.0 44659244.0
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7 NaN 97702200.0 97505000.0 97603600.0 98600.0
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8 336986200.0 NaN NaN NaN NaN
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9 22745560.0 NaN NaN NaN NaN
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10 61743120.0 NaN NaN NaN NaN
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11 113438930.0 NaN NaN NaN NaN
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12 NaN 50733740.0 13866820.0 32300280.0 18433460.0
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13 37496170.0 NaN NaN NaN NaN
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14 NaN 54901320.0 24257620.0 39579470.0 15321850.0
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15 40023600.0 NaN NaN NaN NaN
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16 NaN 83730480.0 775296.0 42252888.0 41477592.0
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17 11295020.0 55306080.0 44948060.0 50127070.0 5179010.0
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18 11295020.0 55306080.0 44948060.0 50127070.0 5179010.0
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19 107817590.0 NaN NaN NaN NaN |