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-capital-flowsgit 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-capital-flows)<a href="https://agentmods.dev/skills/ftshare-lab/ftshare-skill/stock-capital-flows"><img src="https://agentmods.dev/badge/skills/ftshare-lab/ftshare-skill/stock-capital-flows/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-capital-flows"><img src="https://agentmods.dev/badge/skills/ftshare-lab/ftshare-skill/stock-capital-flows.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00101 | $0.01307 |
| Opus 5 | $0.00051 | $0.00654 |
| Sonnet 5 | $0.00020 | $0.00261 |
| Haiku 4.5 | $0.00010 | $0.00131 |
Grade A, and why
stock-capital-flows 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 7d 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.
How it starts
The opening of the file, as written. The whole thing — 93 lines — stays where its author put it; the contents beside it link to each section on GitHub.
查询 A 股股票资金流向（实时快照 / 15 分钟切片）
接口说明
| 项目 | 说明 |
|---|---|
| 接口名称 | 对外接口-查询股票资金流向 |
| 外部接口 | GET /api/v1/market/data/stock-capital-flows |
| 请求方式 | GET |
| 适用场景 | 分页查询 A 股股票资金流向；不传 date 返回当前实时快照，传入 date 可指定 15 分钟切片（默认 time=1530 日终）。仅返回 A 股（不含 ETF/指数），按主力净流入降序排列。 |
请求参数
| 参数名 | 类型 | 是否必填 | 描述 | 取值示例 | 备注 |
|---|---|---|---|---|---|
| date | string | 否 | 查询日期 | 20260616 | 格式 YYYYMMDD；不传=实时快照 |
| time | string | 否 | 15 分钟切片时刻 | 1530 | 格式 HHMM，分钟须为 00/15/30/45；仅与 date 同时有效，默认 1530（日终） |
| symbol | string | 否 | 只查指定标的 | 601138.SH | 外部格式（如 601138.SH）；逐页扫描定位，找到即停，返回其全市场排名与单条记录。不传则按分页/全量返回 |
| page | int | 否 | 页码 | 1 | 从 1 开始，默认 1 |
| page_size | int | 否 | 每页条数 | 50 | 默认 50 |
执行方式
# 当前实时快照（分页）
python scripts/handler.py --page 1 --page-size 50
# 历史 15 分钟切片（默认 time=1530 日终）
python scripts/handler.py --date 20260616 --page 1 --page-size 50
# 指定切片时刻（如 10:15）
python scripts/handler.py --date 20260616 --time 1015 --page 1 --page-size 50
# 全量自动翻页拉取某日日终资金流
python scripts/handler.py --date 20260616 --all
# 只查某只票某切片（逐页定位，返回排名+记录）
python scripts/handler.py --date 20260616 --symbol 601138.SH
# 只查某只票当前实时快照
python scripts/handler.py --symbol 601138.SH
响应结构
{
"items": [
{
"net_inflow_extra_large": "123456789.0000",
"net_inflow_large": "98765432.1000",
"net_inflow_main": "222222221.1000",
"net_inflow_medium": "-50000000.0000",
"net_inflow_small": "-172222221.1000",
"symbol": "600000.SH",
"symbol_name": "浦发银行",
"ts_nanos": 1747037400000000000
}
],
"total_pages": 100,
"total_items": 5000
}
字段说明（CapitalFlowResponse）
| 字段名 | 类型 | 是否可为空 | 说明 |
|---|---|---|---|
| net_inflow_extra_large | string | 否 | 超大单净流入，单位元 |
| net_inflow_large | string | 否 | 大单净流入，单位元 |
| net_inflow_main | string | 否 | 主力净流入，单位元；公式 = 超大单净流入 + 大单净流入 |
| net_inflow_medium | string | 否 | 中单净流入，单位元 |
| net_inflow_small | string | 否 | 小单净流入，单位元 |
| symbol | string | 否 | 标的代码，外部格式如 600000.SH、000001.SZ |
| symbol_name | string | 是 | 标的名称 |
| ts_nanos | int | 否 | 快照时间戳（纳秒） |
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.
- 7d ago First seen · 93 lines · 101 tokens per session scan A 3d6b1d278121
stock-capital-flows is a skill published in the GitHub repository FTShare-Lab/FTShare-skill (63 stars, last pushed today), licensed MIT. It adds 101 tokens to every session and 1,307 once invoked, about $0.0005 per session on Opus 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 2026-09-03.
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