Home / ftshare-lab / ftshare-skill · ftshare-market-data/sub-skills/stock-dividends-effective/SKILL.md · GitHub

stock-dividends-effective skillA

stock-dividends-effective is agent-read markdown (skill) from ftshare-lab/ftshare-skill: 查询 A 股已实施(有效)分红记录(stock_dividends_effective)。用户问已实施分红、每股派息、送股、转增、除权除息日、股权登记日、现金到账日、分红公告链接时使用。.

Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.

What the file says

# 股票有效分红记录

## 1. 接口描述

| 项目 | 说明 |
|------|------|
| 接口名称 | 股票有效分红记录(stock_dividends_effective) |
| 外部接口 | `GET /api/v2/market/data/stock-dividends-effective` |
| 请求方式 | GET(query 参数) |
| 适用场景 | 查询 A 股已实施分红记录(派息、送股、转增)分页视图,可按标的和公告日期范围筛选 |

## 2. 请求参数

| 参数名 | 类型 | 是否必填 | 描述 | 取值示例 | 备注 |
|--------|------|----------|------|----------|------|
| symbol | string | 否 | 标的代码 | 600519.XSHG | 支持带交易所后缀;不传返回全市场 |
| since_date | string | 成对 | 开始公告日期 | 2026-05-26 | 格式 `YYYY-MM-DD`,按 `ann_date` 筛选 |
| until_date | string | 成对 | 结束公告日期 | 2026-05-26 | 与 `since_date` 成对且不早于开始日期 |
| page | int | 否 | 页码 | 1 | 从 1 开始,默认 1 |
| page_size | int | 否 | 每页条数 | 50 | 默认 50,最大 200 |
| --all | - | 否 | 自动翻页拉全量 | - | 仅本子 skill 扩展参数 |

## 3. 响应说明

外层固定为 `code` / `message` / `data`。`data` 为分页对象:`pageNum` / `pageSize` / `total` / `pages` / `records`。

records 元素:

| 字段名 | 类型 | 说明 |
|--------|------|------|
| symbol | string | 标的代码(规范化为短后缀,如 `600519.SH`) |
| ann_date | string | 公告日期 |
| reporting_period | string | 分红所属报告期 |
| cash_dividend_ratio | string | 每股税前现金分红 |
| bonus_issue_ratio | string | 每股送股比例 |
| bonus_issue_from_capital_reserves_ratio | string | 每股转增比例 |
| ex_dividend_date | string / null | 除权除息日 |
…

Read the whole file at its exact version.

How to install

Latest version
mdr add ftshare-lab/ftshare-skill/stock-dividends-effective@git:20260916.8724d04
Exact content
mdr add ftshare-lab/ftshare-skill/stock-dividends-effective@sha256:dfce3bad5e5ae254

Pin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.

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Versions

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git:20260916.8724d04 latest2026-09-16 8724d04 3,543 BA view

Audit of the latest version

A  17 of 17 checks passed. Deterministic, no model, same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (3543 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

ftshare-lab/ftshare-skill · 64 stars · license MIT · pushed 2026-09-22 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_cnrv7e5tlmwe6o45
GET https://markdownregistry.com/api/v1/resolve?ref=ftshare-lab/ftshare-skill/stock-dividends-effective
GET https://markdownregistry.com/api/v1/blob/dfce3bad5e5ae254d742d6efbf8a4b5c1d7f85b0e4990269d46cee2f2fbec5c2

Your agent does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

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