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 eastmoney-us-stock-daily-ohlcgit 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/eastmoney-us-stock-daily-ohlc)<a href="https://agentmods.dev/skills/ftshare-lab/ftshare-skill/eastmoney-us-stock-daily-ohlc"><img src="https://agentmods.dev/badge/skills/ftshare-lab/ftshare-skill/eastmoney-us-stock-daily-ohlc/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/eastmoney-us-stock-daily-ohlc"><img src="https://agentmods.dev/badge/skills/ftshare-lab/ftshare-skill/eastmoney-us-stock-daily-ohlc.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 | $0.00077 | $0.01496 |
| Opus 5 | $0.00039 | $0.00748 |
| Sonnet 5 | $0.00015 | $0.00299 |
| Haiku 4.5 | $0.00008 | $0.00150 |
Grade A, and why
eastmoney-us-stock-daily-ohlc 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 12d 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 — 126 lines — stays where its author put it; the contents beside it link to each section on GitHub.
查询东财美股历史 OHLC
接口说明
| 项目 | 说明 |
|---|---|
| 接口名称 | 查询东财美股历史日 K 线 |
| 外部接口 | /api/v1/market/data/eastmoney-us-stock-daily-ohlc |
| 请求方式 | GET |
| 适用场景 | 查询东财美股历史日 K 线；有日期范围时按 3 天窗口分批请求，无日期范围时全量拉取 |
请求参数
| 参数名 | 类型 | 是否必填 | 描述 | 取值示例 | 备注 |
|---|---|---|---|---|---|
--stock_code |
string | 是 | 股票代码 | AAL |
东财美股代码 |
--start_date |
string | 否 | 起始日期（含） | 2026-06-01 |
格式 YYYY-MM-DD 或 YYYYMMDD |
--end_date |
string | 否 | 截止日期（含） | 2026-06-10 |
格式 YYYY-MM-DD 或 YYYYMMDD |
--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 |
--all |
flag | 否 | 全量返回 | — | 返回全量数据（不分页） |
执行策略：有日期范围时，将区间拆分为最多 3 天的窗口分批请求，合并去重排序；无日期范围时全量拉取（不传日期参数）。
查询模式
| 模式 | 参数 | 说明 |
|---|---|---|
| 全部历史 | --stock_code |
全量拉取全部历史 K 线（分页） |
| 日期区间 | --stock_code --start_date --end_date |
按 3 天窗口分批请求，合并后分页 |
| 日期区间全量 | --stock_code --start_date --end_date --all |
按 3 天窗口分批请求，合并后返回全量（不分页） |
执行方式
通过根目录的 run.py 调用：
python <RUN_PY> eastmoney-us-stock-daily-ohlc --stock_code AAL --page 1 --page_size 10
python <RUN_PY> eastmoney-us-stock-daily-ohlc --stock_code AAL --start_date 2026-05-01 --end_date 2026-06-10 --page 1 --page_size 50
python <RUN_PY> eastmoney-us-stock-daily-ohlc --stock_code AAL --start_date 2026-05-01 --end_date 2026-06-10 --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
顶层为分页包装对象：
| 字段名 | 类型 | 描述 |
|---|---|---|
code |
int | 业务状态码，成功为 0 |
message |
string | 业务消息 |
data |
object/null | 分页数据体；无数据时可能为 null |
data.pageNum |
int | 当前页码 |
data.pageSize |
int | 每页条数 |
data.total |
int | 总记录数 |
data.pages |
int | 总页数 |
data.records |
array | 当前页 K 线列表 |
data.records[] 单条记录字段（全部字段按字符串返回）：
| 字段名 | 类型 | 描述 |
|---|---|---|
secid |
string | 证券 ID，格式 {market}.{code}，如 105.ADV |
code |
string | 股票代码 |
name |
string | 股票名称 |
market |
string | 市场编号 |
date |
string | 日期，格式 YYYY-MM-DD |
open |
string | 开盘价 |
close |
string | 收盘价 |
high |
string | 最高价 |
low |
string | 最低价 |
volume |
string | 成交量 |
amount |
string | 成交额 |
amplitude |
string | 振幅 |
klt |
string | K 线类型 |
fqt |
string | 复权类型 |
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.
- 12d ago First seen · 126 lines · 77 tokens per session scan A d4bbaff0a112
eastmoney-us-stock-daily-ohlc is a skill published in the GitHub repository FTShare-Lab/FTShare-skill (64 stars, last pushed yesterday), licensed MIT. It adds 77 tokens to every session and 1,496 once invoked, about $0.0004 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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