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

stock-prospectuses skillA

Name: stock-prospectuses
Author: ftshare-lab

stock-prospectuses is agent-read markdown (skill) from ftshare-lab/ftshare-skill: 查询 A 股招股书及相关发行公告列表（stock_prospectuses，GET /api/v2/market/data/announcements/stock-prospectuses）。用户问招股书、招股说明书、招股意向书、某只股票的发行公告、某个披露日的全市场招股书、招股书文件下载标识时使用。必填 --stock-code 或 --start-date 之一；可选 --end-date、--page、--page-size、--all。.

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

# 招股书列表

## 1. 接口描述

| 项目 | 说明 |
|------|------|
| 接口名称 | 招股书列表（stock_prospectuses） |
| 外部接口 | `GET /api/v2/market/data/announcements/stock-prospectuses` |
| 请求方式 | GET（query 参数） |
| 适用场景 | 按标的查单只股票的招股书及发行公告，或按披露日查全市场记录；文件可按返回的 `url_hash` 另行下载 |
| 数据范围 | 上交所、深交所、北交所公开披露的招股书及相关发行文件 |

两种模式二选一：

1. **按标的**：传 `stock_code`，查该股票的全部记录（此时忽略 `start_date` / `end_date`）。
2. **按日期**：未传 `stock_code` 时，按 `start_date` 查该披露日的全市场记录；仅支持单日。

## 2. 请求参数

| 参数名 | 类型 | 是否必填 | 描述 | 取值示例 | 备注 |
|--------|------|----------|------|----------|------|
| stock_code | string | 二选一 | 股票代码 | 600000.SH | 支持裸代码（`600000`）、短后缀（`.SH`/`.SZ`/`.BJ`）和长后缀（`.XSHG`/`.XSHE`/`.BJSE`），后缀大小写不敏感 |
| start_date | string | 二选一 | 披露日期 | 20240517 | `YYYYMMDD`；未提供 `stock_code` 时必填，仅支持单日 |
| end_date | string | 否 | 披露日期 | 20240517 | 不填默认等于 `start_date`，传入时必须与 `start_date` 相同 |
| page | int | 否 | 页码 | 1 | 从 1 开始，默认 1 |
| page_size | int | 否 | 每页条数 | 20 | 默认 20，最大 500 |
| --all | - | 否 | 自动翻页拉全量 | - | 仅本子 skill 扩展参数，按 `pages` 翻页 |

## 3. 响应说明

外层固定为 `code`（成功 200）/ `message`（成功 `success`）/ `data`（失败为 `null`）。`data` 为分页对象：`pageNum` / `pageSize` / `total` / `pages` / `records`（无记录时 `pages` 为 0、`records` 为 `[]`）。

`records` 元素：
…

Read the whole file at its exact version.

How to install

Latest version

mdr add ftshare-lab/ftshare-skill/stock-prospectuses@git:20260917.e822798

Exact content

mdr add ftshare-lab/ftshare-skill/stock-prospectuses@sha256:1d3cdffe149a92cf

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.

Badge

[![mdr](https://markdownregistry.com/badge/art_d46fbeecmkt7wjem.svg)](https://markdownregistry.com/a/art_d46fbeecmkt7wjem)

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Versions

version	committed	commit	size	audit
git:20260917.e822798 latest	2026-09-17	e822798	4,285 B	A	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 (4285 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_d46fbeecmkt7wjem
GET https://markdownregistry.com/api/v1/resolve?ref=ftshare-lab/ftshare-skill/stock-prospectuses
GET https://markdownregistry.com/api/v1/blob/1d3cdffe149a92cf9f99be87b76cd59cd4496d57c14eda35ac7cea718443ef6b

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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