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-candlesticks-dailygit 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-candlesticks-daily)<a href="https://agentmods.dev/skills/ftshare-lab/ftshare-skill/stock-candlesticks-daily"><img src="https://agentmods.dev/badge/skills/ftshare-lab/ftshare-skill/stock-candlesticks-daily/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-candlesticks-daily"><img src="https://agentmods.dev/badge/skills/ftshare-lab/ftshare-skill/stock-candlesticks-daily.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 | $0.00057 | $0.01025 |
| Opus 5.5 | $0.00023 | $0.00410 |
| Sonnet 5.5 | $0.00011 | $0.00205 |
| Haiku 4.5 | $0.00006 | $0.00103 |
Grade A, and why
stock-candlesticks-daily 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 2d 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 — 95 lines — stays where its author put it; the contents beside it link to each section on GitHub.
查询股票日K快照
接口说明
| 项目 | 说明 |
|---|---|
| 接口名称 | 股票日K快照 |
| 外部接口 | /api/v1/market/data/stock-candlesticks-daily |
| 请求方式 | GET |
| 适用场景 | 查询指定交易日全部普通 A 股的日 K 快照，用于全市场横截面分析 |
请求参数
| 参数名 | 类型 | 是否必填 | 描述 | 取值示例 | 备注 |
|---|---|---|---|---|---|
trade_date |
string | 是 | 交易日 | 20261008 |
格式 YYYYMMDD，必须是交易日 |
page |
integer | 否 | 页码 | 1 |
从 1 开始，默认 1 |
page_size |
integer | 否 | 每页数量 | 200 |
默认 200，最大 500 |
执行方式
通过根目录的 run.py 调用（推荐）：
# 取当日日 K 快照第一页
python <RUN_PY> stock-candlesticks-daily --trade_date 20261008
# 指定分页
python <RUN_PY> stock-candlesticks-daily --trade_date 20261008 --page 1 --page_size 500
# 自动翻页取全市场当日日 K
python <RUN_PY> stock-candlesticks-daily --trade_date 20261008 --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
{
"code": 200,
"message": "success",
"data": {
"pageNum": 1,
"pageSize": 200,
"total": 5400,
"pages": 27,
"records": [
{
"trade_code": "000001.SZ",
"open": "11.5700",
"high": "11.8700",
"low": "11.5400",
"close": "11.7800",
"ts_millis": 1791442800000,
"ts_millis_open": 1791423000000,
"turnover": "1743402510.4000",
"volume": 148168594,
"turnover_rate": 0.00763531893198915
}
]
}
}
字段说明
data 为分页对象，含 pageNum、pageSize、total、pages 与 records。
records 元素字段说明
| 字段名 | 类型 | 是否可为空 | 说明 |
|---|---|---|---|
trade_code |
String | 否 | 标的代码，带标准市场后缀，如 600519.SH、000001.SZ、920001.BJ |
open |
String | 否 | 开盘价（元） |
high |
String | 否 | 最高价（元） |
low |
String | 否 | 最低价（元） |
close |
String | 否 | 收盘价（元） |
ts_millis |
Integer | 否 | 收盘时间戳（毫秒） |
ts_millis_open |
Integer | 否 | 开盘时间戳（毫秒） |
turnover |
String | 否 | 成交额（元） |
volume |
Integer | 否 | 成交量（股） |
turnover_rate |
Number | 否 | 换手率比例值；如 0.0076353189 表示约 0.7635% |
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.
- 2d ago First seen · 95 lines · 57 tokens per session scan A 2c900bf1492c
stock-candlesticks-daily is a skill published in the GitHub repository FTShare-Lab/FTShare-skill (65 stars, last pushed 2d ago), licensed MIT. It adds 57 tokens to every session and 1,025 once invoked, about $0.0002 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 2026-10-15.
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