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-minute-sealgit 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-minute-seal)<a href="https://agentmods.dev/skills/ftshare-lab/ftshare-skill/stock-minute-seal"><img src="https://agentmods.dev/badge/skills/ftshare-lab/ftshare-skill/stock-minute-seal/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-minute-seal"><img src="https://agentmods.dev/badge/skills/ftshare-lab/ftshare-skill/stock-minute-seal.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 | $0.00070 | $0.00734 |
| Opus 5.5 | $0.00028 | $0.00294 |
| Sonnet 5.5 | $0.00014 | $0.00147 |
| Haiku 4.5 | $0.00007 | $0.00073 |
Grade A, and why
stock-minute-seal scanned grade A with 0 findings 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 17d 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.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
股票分钟封单金额
接口：GET /api/v2/market/data/stock-minute-seal。参数和响应以 ftshare-doc/api-doc/股票数据/打板专题数据/股票分钟封单金额.md 为准。
请求必须从环境变量 FTSHARE_API_KEY 读取凭据，并通过请求头发送 FTSHARE_API_KEY 和 Content-Type: application/json；缺少凭据时不会发起请求。
请求参数
| 参数 | 是否必填 | 说明 |
|---|---|---|
--trade-date |
是 | 交易日期，八位 YYYYMMDD，如 20260923；仅支持单日查询，不接受 YYYY-MM-DD |
--symbol |
否 | 股票代码，如 600825.SH、000001.SZ，也支持六位裸代码；不传时返回该日全部有封单记录的股票 |
响应说明
返回 code/message/data 信封，非分页（没有 --all）。data 字段：
| 字段 | 说明 |
|---|---|
trade_date |
本次查询的交易日，格式 YYYYMMDD |
sampling |
固定为 last_accepted_quote_per_minute，表示每分钟最后一条有效行情 |
stocks |
按股票分组的分钟封单记录；无匹配数据时为空数组 |
stocks[]：symbol（六位裸代码，保留前导零，不带交易所后缀）、market_id（3553 沪市 / 3554 深市）、minutes。
minutes[]：minute（北京时间 HH:MM）、direction（up 涨停封单 / down 跌停封单）、seal_amount_yuan（该分钟最后一条有效行情的封单金额）。
注意事项
- 金额单位为元，以十进制字符串返回，小数末尾的零可省略；不要按万元解读，也不要依赖固定小数位数。
- 每分钟取最后一条有效行情；无有效记录的分钟不补零、不向前填充，故分钟序列可能有缺口。
- 返回的股票代码始终为六位裸代码（市场由
market_id标识），与传入的--symbol后缀形式无关。 - 股票按市场 ID、股票代码升序排列，每只股票的分钟记录按时间升序排列。
- 合法查询无匹配数据时返回 HTTP 200 且
stocks为空数组，不以错误响应代替空结果。
调用示例
python <RUN_PY> stock-minute-seal --trade-date 20260923 --symbol 000560.SZ
python <RUN_PY> stock-minute-seal --trade-date 20260923
What ships with it
1 file 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.
- 17d ago First seen · 47 lines · 70 tokens per session scan A 819e7d339231
stock-minute-seal is a skill published in the GitHub repository FTShare-Lab/FTShare-skill (65 stars, last pushed 2d ago), licensed MIT. It adds 70 tokens to every session and 734 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-30.
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