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-board-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-board-daily-ohlc)<a href="https://agentmods.dev/skills/ftshare-lab/ftshare-skill/eastmoney-board-daily-ohlc"><img src="https://agentmods.dev/badge/skills/ftshare-lab/ftshare-skill/eastmoney-board-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-board-daily-ohlc"><img src="https://agentmods.dev/badge/skills/ftshare-lab/ftshare-skill/eastmoney-board-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 | $0.00052 | $0.01162 |
| Opus 5 | $0.00026 | $0.00581 |
| Sonnet 5 | $0.00010 | $0.00232 |
| Haiku 4.5 | $0.00005 | $0.00116 |
Grade A, and why
eastmoney-board-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 13d 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 — 103 lines — stays where its author put it; the contents beside it link to each section on GitHub.
查询东财单板块历史 OHLC
接口说明
| 项目 | 说明 |
|---|---|
| 接口名称 | 查询东财单板块历史 OHLC |
| 外部接口 | /api/v1/market/data/eastmoney-board-daily-ohlc |
| 请求方式 | GET |
| 适用场景 | 查询指定东财板块历史 OHLC 数据,支持日期范围过滤与分页 |
请求参数
| 参数名 | 类型 | 是否必填 | 描述 | 取值示例 | 备注 |
|---|---|---|---|---|---|
board_code |
string | 是 | 板块代码 | BK1024 |
BK 前缀 |
start_date |
string | 否 | 起始日期(含) | 2021-01-01 |
格式 YYYY-MM-DD 或 YYYYMMDD;不传则从最早开始 |
end_date |
string | 否 | 截止日期(含) | 2021-12-31 |
格式 YYYY-MM-DD 或 YYYYMMDD;不传则到最晚为止 |
page |
int | 否 | 页码,从 1 开始 | 1 |
默认 1 |
page_size |
int | 否 | 每页记录数 | 20 |
默认 50 |
执行方式
通过根目录的 run.py 调用(推荐):
# 查询板块全部历史 OHLC
python <RUN_PY> eastmoney-board-daily-ohlc --board_code BK1024 --page 1 --page_size 20
# 指定日期范围
python <RUN_PY> eastmoney-board-daily-ohlc --board_code BK1024 --start_date 2021-01-01 --end_date 2021-12-31 --page 1 --page_size 20
# 自动翻页获取全量数据
python <RUN_PY> eastmoney-board-daily-ohlc --board_code BK1024 --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
{
"items": [
{
"board_code": "BK1024",
"board_name": "绿色电力",
"market": "90",
"date": "2021-10-18",
"open": "1001.53",
"close": "1037.67",
"high": "1041.82",
"low": "1001.53",
"volume": "52669555",
"turnover": "43012845568",
"amplitude": "4.03",
"change_rate": "3.77",
"change": "37.67",
"turnover_rate": "1.03"
}
],
"total_pages": 1,
"total_items": 1
}
顶层字段说明
| 字段名 | 类型 | 是否可为空 | 说明 |
|---|---|---|---|
items |
Array | 否 | 当前页 OHLC 数据列表 |
total_pages |
int | 否 | 总页数 |
total_items |
int | 否 | 总记录数 |
items 元素字段说明(BoardDailyOhlc)
| 字段名 | 类型 | 是否可为空 | 说明 | 单位 |
|---|---|---|---|---|
board_code |
String | 否 | 板块代码 | - |
board_name |
String | 否 | 板块名称 | - |
market |
String | 否 | 市场编码 | - |
date |
String | 否 | 交易日期,格式 YYYY-MM-DD |
- |
open |
String | 否 | 开盘价 | - |
close |
String | 否 | 收盘价 | - |
high |
String | 否 | 最高价 | - |
low |
String | 否 | 最低价 | - |
volume |
String | 否 | 成交量 | 股 |
turnover |
String | 否 | 成交额 | 元 |
amplitude |
String | 否 | 振幅 | % |
change_rate |
String | 否 | 涨跌幅 | % |
change |
String | 否 | 涨跌额 | - |
turnover_rate |
String | 否 | 换手率 | % |
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.
- 13d ago First seen · 103 lines · 52 tokens per session scan A f412f9bd1bbd
eastmoney-board-daily-ohlc is a skill published in the GitHub repository FTShare-Lab/FTShare-skill (64 stars, last pushed yesterday), licensed MIT. It adds 52 tokens to every session and 1,162 once invoked, about $0.0003 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.
Other skills, from other repositories
defeatbeta-earnings-analysis
Create professional equity research earnings update reports (8-12 pages, 3,000-5,000 words) analyzing quarterly results for companies already under coverage. Fast-turnaround format focusing on beat/miss analysis, key metrics, updated estimates, and revised thesis. Includes 1-3 summary tables and 8-12 charts. Use when…
sprr
Single PR reviewer for awesome-quant. Use when the user asks to review, validate, comment on, label, close, or merge one specific pull request that adds README.md entries. Triggers include "sprr", "review PR", "check PR", and "validate contribution".
bprr
Bulk PR reviewer for awesome-quant. Use when the user asks to review all open PRs, review unreviewed PRs, bulk review, or mentions "bprr". Reviews open PRs lacking the reviewed label and presents a summary before any merge/comment/label action.
update-pypi-dates
Refresh tracked PyPI last-updated dates in awesome-quant README.md. Use when the user asks to update PyPI dates, refresh PyPI metadata, or run update-pypi-dates.
defeatbeta-earnings-preview
Build pre-earnings analysis with normalized baselines, weighted decision models, company-specific veto gates, scenario frameworks, catalysts, historical reactions, and options-implied moves. Use before a company reports quarterly earnings to prepare positioning notes or bilingual three-page PDF reports.
defeatbeta-analyst
Professional financial analysis using 60+ market data APIs. Use for: company fundamentals (revenue, margins, EPS, balance sheet), valuation (P/E, P/B, P/S, PEG, DCF, intrinsic value), profitability (ROE, ROA, ROIC), growth trends (YoY revenue/earnings/FCF), earnings transcripts (key data, changes, guidance), industry…