Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add FTShare-Lab/FTShare-skill --skill stock-prospectusesgit clone --depth 1 https://github.com/FTShare-Lab/FTShare-skillWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/ftshare-lab/ftshare-skill/stock-prospectuses)<a href="https://agentmods.dev/skills/ftshare-lab/ftshare-skill/stock-prospectuses"><img src="https://agentmods.dev/badge/skills/ftshare-lab/ftshare-skill/stock-prospectuses/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/ftshare-lab/ftshare-skill/stock-prospectuses"><img src="https://agentmods.dev/badge/skills/ftshare-lab/ftshare-skill/stock-prospectuses.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00113 | $0.01301 |
| Opus 5.5 | $0.00045 | $0.00520 |
| Sonnet 5.5 | $0.00023 | $0.00260 |
| Haiku 4.5 | $0.00011 | $0.00130 |
Grade A, and why
stock-prospectuses scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 29d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
- 文件下载：`GET /api/v2/market/data/announcements/stock-prospectuses/{url_hash}`，响应为附件（PDF 为 `application/pdf`，另可能为 `text/plain` 或 `text/html`）；`url_hash` 须取自本接口返回值且为 64 位小写十六进制 sha256，勿硬编码。本子 skill 不直接下载，需要时用 `curl -OJ` 取文件 How it starts
The opening of the file, as written. The whole thing — 69 lines — stays where its author put it; the contents beside it link to each section on GitHub.
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：
- 按标的：传
stock_code，查该股票的全部记录（此时忽略start_date/end_date）。 - 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：
| 字段名 | 类型 | 说明 |
|---|---|---|
| stock_code | string | 股票代码，统一返回 .SH / .SZ / .BJ 短后缀 |
| stock_name | string | 股票名称；源数据未提供时为空字符串 |
| announcement_title | string | 公告标题 |
| announcement_time | string | 公告披露时间，格式 YYYY-MM-DD HH:MM:SS |
| column_type | string | 栏目类型，固定为 stock |
| url_hash | string | 文件下载标识，用于下载关联文件 |
使用 --all 时输出聚合结构 {"records": [...], "pages": N, "total": M}，不再保留逐页信封。
4. 调用方式
python <RUN_PY> stock-prospectuses --stock-code 600000.SH --page 1 --page-size 5
python <RUN_PY> stock-prospectuses --stock-code 600000 --page 1 --page-size 5
python <RUN_PY> stock-prospectuses --start-date 20240517 --page 1 --page-size 20
python <RUN_PY> stock-prospectuses --stock-code 600000.SH --all
<RUN_PY> 为主 SKILL.md 同级 run.py 的绝对路径。输出 JSON；HTTP 错误输出到 stderr 并以非零状态退出。
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 29d ago First seen · 69 lines · 113 tokens per session scan A 1d3cdffe149a
stock-prospectuses is a skill published in the GitHub repository FTShare-Lab/FTShare-skill (65 stars, last pushed 2d ago), licensed MIT. It adds 113 tokens to every session and 1,301 once invoked, about $0.0005 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-18.
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