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

stock-ipos skillA

stock-ipos is agent-read markdown (skill) from ftshare-lab/ftshare-skill: 获取股票 IPO 列表。当用户需要获取 A 股 IPO 列表,含发行价格、发行数量、申购日期、上市日期等,支持分页查询,或了解股票 IPO 列表时使用。.

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

# 获取股票 IPO 列表

## 接口说明

| 项目 | 说明 |
|---|---|
| 接口名称 | 获取股票 IPO 列表 |
| 外部接口 | `/api/v1/market/data/stock-ipos` |
| 请求方式 | GET |
| 适用场景 | 获取 A 股 IPO 列表,含发行价格、发行数量、申购日期、上市日期等,支持分页查询 |

## 请求参数

| 参数名 | 类型 | 是否必填 | 描述 | 取值示例 | 备注 |
|---|---|---|---|---|---|
| `page` | int | 是 | 页码,从 1 开始 | `1` | 必须大于等于 1 |
| `page_size` | int | 是 | 每页记录数 | `20` | 必须大于等于 1,建议不超过 100 |

## 执行方式

通过根目录的 `run.py` 调用(推荐):

```bash
# 获取第 1 页,每页 20 条
python <RUN_PY> stock-ipos --page 1 --page_size 20

# 获取第 2 页,每页 50 条
python <RUN_PY> stock-ipos --page 2 --page_size 50

# 获取全量数据(自动翻页合并)
python <RUN_PY> stock-ipos --all
```

> `<RUN_PY>` 为主 `SKILL.md` 同级的 `run.py` 绝对路径,参见主 SKILL.md 的「调用方式」说明。

## 响应结构

```json
{
    "items": [
        {
            "symbol": "600989.SH",
            "industry_pe": 15.8,
            "listing_date": "2019-05-16",
            "max_subscription_shares": 120000,
            "online_shares": 600000000,
            "pe": 22.5,
            "price": "11.25",
            "shares": 734000000,
            "subscription_date": "2019-05-10",
            "subscription_symbol_id": "730989"
        }
    ],
    "total_pages": 10,
    "total_items": 200
}
```

### 顶层字段说明
…

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How to install

Latest version
mdr add ftshare-lab/ftshare-skill/stock-ipos@git:20260916.8724d04
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mdr add ftshare-lab/ftshare-skill/stock-ipos@sha256:5e28ef5e61b7a81c

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Versions

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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 (3107 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_q2nkogyc5r3decx4
GET https://markdownregistry.com/api/v1/resolve?ref=ftshare-lab/ftshare-skill/stock-ipos
GET https://markdownregistry.com/api/v1/blob/5e28ef5e61b7a81c03aca9b15cf3d23737709686da261963dde0d87b8a41ff23

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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