stock-goodwill-detail skillA
stock-goodwill-detail is agent-read markdown (skill) from ftshare-lab/ftshare-skill: Get goodwill detail (商誉明细) for all stocks in a specific year. Use when user asks about 商誉, 商誉明细, 商誉规模, 商誉占净资产比例, goodwill..
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
# 查询个股商誉明细
## 接口说明
| 项目 | 说明 |
|------|------|
| 接口名称 | 查询个股商誉明细 |
| 外部接口 | GET /api/v1/market/data/goodwill/stock-detail |
| 请求方式 | GET |
| 适用场景 | 查询个股的商誉规模、商誉占净资产比例、净利润同比变化等明细数据 |
## 请求参数
说明：date 为必填项。
| 参数名 | 类型 | 是否必填 | 描述 | 取值示例 | 备注 |
|--------|------|----------|------|----------|------|
| date | string | 是 | 报告期日期 | 20251231 | 格式 YYYYMMDD，按年份范围过滤，如 20251231 查询 2025 全年 |
## 执行方式
```bash
python scripts/handler.py --date 20251231
```
## 响应结构
```json
{
"code": 0,
"message": "success",
"data": {
"pageNum": 1,
"pageSize": 50,
"total": 2676,
"pages": 54,
"records": [
{
"seq": 0,
"security_code": "300860",
"security_name": "锋尚文化",
"goodwill_scale": "28235811.5900",
"goodwill_to_net_assets_ratio": "0.00898123",
"net_profit_scale": "-16592410.5300",
"net_profit_yoy_ratio": "-1.39720928",
"goodwill_previous": "28235811.5900",
"notice_date": "2026-05-13 00:00:00",
"trade_board": "cyb"
}
]
}
}
```
### 字段说明（GoodwillStockDetailItem）
| 字段名 | 类型 | 是否可为空 | 说明 |
|--------|------|------------|------|
| seq | int | 否 | 序号 |
| security_code | string | 否 | 证券代码 |
…Read the whole file at its exact version.
How to install
mdr add ftshare-lab/ftshare-skill/stock-goodwill-detail@git:20260916.8724d04mdr add ftshare-lab/ftshare-skill/stock-goodwill-detail@sha256:336dca19da36348aPin 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.
[](https://markdownregistry.com/a/art_epu75ejw3bjigqwt)
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Versions
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (2770 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
ftshare-lab/ftshare-skill · 64 stars · license MIT · pushed 2026-09-22 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_epu75ejw3bjigqwt GET https://markdownregistry.com/api/v1/resolve?ref=ftshare-lab/ftshare-skill/stock-goodwill-detail GET https://markdownregistry.com/api/v1/blob/336dca19da36348a63051cd3a2270930c6479aa22dc7ea59686ed53ca270eaea
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.