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>
3.1 KiB
3.1 KiB
个股资金流向(DC)
接口:moneyflow_dc 描述:获取东方财富个股资金流向数据,每日盘后更新,数据开始于20230911 限量:单次最大获取6000条数据,可根据日期或股票代码循环提取数据 积分:用户需要至少5000积分才可以调取,具体请参阅积分获取办法
输入参数
| 名称 | 类型 | 必选 | 描述 |
|---|---|---|---|
| ts_code | str | N | 股票代码 |
| trade_date | str | N | 交易日期(YYYYMMDD格式,下同) |
| start_date | str | N | 开始日期 |
| end_date | str | N | 结束日期 |
输出参数
| 名称 | 类型 | 默认显示 | 描述 |
|---|---|---|---|
| trade_date | str | Y | 交易日期 |
| ts_code | str | Y | 股票代码 |
| name | str | Y | 股票名称 |
| pct_change | float | Y | 涨跌幅 |
| close | float | Y | 最新价 |
| net_amount | float | Y | 今日主力净流入额(万元) |
| net_amount_rate | float | Y | 今日主力净流入净占比(%) |
| buy_elg_amount | float | Y | 今日超大单净流入额(万元) |
| buy_elg_amount_rate | float | Y | 今日超大单净流入占比(%) |
| buy_lg_amount | float | Y | 今日大单净流入额(万元) |
| buy_lg_amount_rate | float | Y | 今日大单净流入占比(%) |
| buy_md_amount | float | Y | 今日中单净流入额(万元) |
| buy_md_amount_rate | float | Y | 今日中单净流入占比(%) |
| buy_sm_amount | float | Y | 今日小单净流入额(万元) |
| buy_sm_amount_rate | float | Y | 今日小单净流入占比(%) |
接口示例
pro = ts.pro_api()
#获取单日全部股票数据
df = pro.moneyflow_dc(trade_date='20241011')
#获取单个股票数据
df = pro.moneyflow_dc(ts_code='002149.SZ', start_date='20240901', end_date='20240913')
trade_date ts_code name pct_change ... buy_md_amount buy_md_amount_rate buy_sm_amount buy_sm_amount_rate
0 20240913 002149.SZ 西部材料 -1.34 ... -12.65 -0.35 -62.43 -1.72
1 20240912 002149.SZ 西部材料 1.43 ... 13.71 0.33 -388.43 -9.25
2 20240911 002149.SZ 西部材料 -0.79 ... -26.10 -1.68 95.69 6.15
3 20240910 002149.SZ 西部材料 -0.08 ... -199.50 -7.26 -69.29 -2.52
4 20240909 002149.SZ 西部材料 1.12 ... 66.76 2.48 -198.12 -7.37
5 20240906 002149.SZ 西部材料 -2.49 ... -104.57 -2.74 769.65 20.19
6 20240905 002149.SZ 西部材料 -0.70 ... -307.62 -8.11 346.51 9.14
7 20240904 002149.SZ 西部材料 -0.92 ... 370.98 9.56 -23.25 -0.60
8 20240903 002149.SZ 西部材料 0.93 ... -195.45 -3.87 643.41 12.75
9 20240902 002149.SZ 西部材料 -3.44 ... 195.50 2.32 988.69 11.71