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 agentmods add skills/ftshare-lab/ftshare-skill/etf-candlesticks-batchnpx skills add FTShare-Lab/FTShare-skill --skill etf-candlesticks-batchgit 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/etf-candlesticks-batch)<a href="https://agentmods.dev/skills/ftshare-lab/ftshare-skill/etf-candlesticks-batch"><img src="https://agentmods.dev/badge/skills/ftshare-lab/ftshare-skill/etf-candlesticks-batch.svg" alt="Measured on agentmods" 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 | $0.00111 | $0.01172 |
| Opus 5 | $0.00056 | $0.00586 |
| Sonnet 5 | $0.00022 | $0.00234 |
| Haiku 4.5 | $0.00011 | $0.00117 |
Grade A, and why
etf-candlesticks-batch 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 5d 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 — 59 lines — stays where its author put it; the contents beside it link to each section on GitHub.
批量 ETF K 线 - 批量查询多只 ETF K 线（etf-candlesticks/batch）
1. 接口描述
| 项目 | 说明 |
|---|---|
| 接口名称 | 批量查询多只 ETF K 线 |
| 外部接口 | POST /api/v1/market/data/etf-candlesticks/batch |
| 请求方式 | POST（JSON body） |
| 适用场景 | 一次拉取多只 ETF 的分/日/周/月/年 K 线。响应为嵌套数组 [[symbol, K线数组], ...]。仅接受 ETF 标的，任一 symbol 非 ETF 时整体返回系统错误 |
2. 请求参数
| 参数名 | 类型 | 是否必填 | 描述 | 取值示例 | 备注 |
|---|---|---|---|---|---|
| symbols | string[] | 是 | ETF 代码列表 | 510300.XSHG,159915.XSHE | 逗号分隔传入；也接受 .SH/.SZ 短后缀，响应统一规范化为长后缀 |
| interval_unit | string | 是 | 周期单位 | Day | Minute/Day/Week/Month/Year |
| interval_value | int | 否 | 间隔数值 | 1 | 默认 1；Minute+5 表示 5 分钟 K 线 |
| adjust_kind | string | 否 | 复权类型 | Forward | None（默认）/Forward（前复权）/Backward（后复权） |
| since_ts_millis | int | 否 | 开始时间戳（毫秒） | 1756700000000 | 分钟 K 线与 until 跨度 ≤3 天 |
| until_ts_millis | int | 是 | 结束时间戳（毫秒） | 1756791000000 | - |
| limit | int | 否 | 每个标的返回条数上限 | 2 | 未传 since 和 limit 时每个标的默认最多返回 50 根 |
3. 响应说明
响应为二元数组列表，每项结构为 [symbol, K线数组]：
| 字段名 | 类型 | 说明 |
|---|---|---|
| [0] | string | ETF 代码；响应统一使用 .XSHG、.XSHE 等长后缀 |
| [1] | array | 该标的的 K 线数组，字段同单只接口 |
K 线单根字段同 etf-candlesticks：open / high / low / close / ts_millis / ts_millis_open / turnover / volume。
4. 调用方式
python <RUN_PY> etf-candlesticks-batch --symbols 510300.XSHG,159915.XSHE --interval-unit Day --until-ts-millis 1756791000000 --limit 2
python <RUN_PY> etf-candlesticks-batch --symbols 510300.XSHG,159915.XSHE --interval-unit Minute --interval-value 5 --adjust-kind Forward --since-ts-millis 1756700000000 --until-ts-millis 1756791000000
<RUN_PY> 为主 SKILL.md 同级 run.py 的绝对路径。输出 JSON，请求头已内置 X-Client-Name: ft-claw。
5. 注意事项
symbols、interval_unit、until_ts_millis必填。symbols用逗号分隔；任一非 ETF 标的当前外部接口返回系统错误，不静默过滤。- 响应中的
symbol会规范化为长市场后缀（.XSHG/.XSHE）。 - 分钟 K 线（
interval_unit=Minute）的since/until跨度硬限制 ≤3 天。 interval_value仅在interval_unit=Minute时生效：不传或传 1 为 1 分钟 K，传 5/15/30/60/120 为对应多分钟 K；其他周期忽略该字段。- 多分钟 K 按北京时间的每个交易日分别聚合，不跨交易日；以 5 分钟 K 为例，首根为 09:30—09:35，开高低收取区间首根开盘价、最高价、最低价、末根收盘价，成交量和成交额按区间求和。
- 默认不复权（None），
Forward前复权、Backward后复权。 - 价格字段 JSON 中为字符串以避免精度丢失。
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.
- 5d ago First seen · 59 lines · 111 tokens per session scan A 758ff1ce0fdf
etf-candlesticks-batch is a skill published in the GitHub repository FTShare-Lab/FTShare-skill (62 stars, last pushed yesterday), licensed MIT. It adds 111 tokens to every session and 1,172 once invoked, about $0.0006 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 2026-08-30.
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