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 meission/eastmoney --skill select-stockgit clone --depth 1 https://github.com/meission/eastmoneyWrote 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/meission/eastmoney/select-stock)<a href="https://agentmods.dev/skills/meission/eastmoney/select-stock"><img src="https://agentmods.dev/badge/skills/meission/eastmoney/select-stock/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/meission/eastmoney/select-stock"><img src="https://agentmods.dev/badge/skills/meission/eastmoney/select-stock.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 | $0.00081 | $0.01932 |
| Opus 5 | $0.00041 | $0.00966 |
| Sonnet 5 | $0.00016 | $0.00386 |
| Haiku 4.5 | $0.00008 | $0.00193 |
Grade A, and why
eastmoney_select_stock scanned grade A with 1 finding 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 11d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -X POST --location 'https://mkapi2.dfcfs.com/finskillshub/api/claw/stock-screen' \ How it starts
The opening of the file, as written. The whole thing — 162 lines — stays where its author put it; the contents beside it link to each section on GitHub.
东方财富智能选股skill (eastmoney_select_stock)
通过自然语言查询进行选股(支持市场:A股、港股、美股),返回符合条件的股票列表,可自动导出为CSV文件。
使用方式
-
首先检查环境变量
EASTMONEY_APIKEY是否存在:echo $EASTMONEY_APIKEY如果不存在,提示用户在东方财富Skills页面(https://marketing.dfcfs.com/views/finskillshub/indexuNdYscEA?appfenxiang=1)获取apikey并设置到环境变量。
⚠️ 安全注意事项
- 外部请求: 本 Skill 会将用户的查询关键词(Keyword)发送至东方财富官方 API 接口 (
mkapi2.dfcfs.com) 进行解析与检索。 - 数据用途: 提交的数据仅用于匹配选股条件,不包含个人隐私信息。
- 凭据保护: API Key 仅通过环境变量
EASTMONEY_APIKEY在服务端或受信任的运行环境中使用,不会在前端明文暴露。
- 外部请求: 本 Skill 会将用户的查询关键词(Keyword)发送至东方财富官方 API 接口 (
-
使用POST请求调用接口:
curl -X POST --location 'https://mkapi2.dfcfs.com/finskillshub/api/claw/stock-screen' \ --header 'Content-Type: application/json' \ --header "apikey: $EASTMONEY_APIKEY" \ --data '{"keyword": "选股条件", "pageNo": 1, "pageSize": 20}'
适用场景
当用户查询以下类型的内容时使用本skill:
- 条件选股:如"今日涨幅2%的股票"、"市盈率低于10的银行股"、"连续3天上涨的科技股"
- 板块/行业成分股:如"半导体板块的成分股"、"新能源行业的上市公司"
- 指数成分股:如"沪深300成分股"、"科创50成分股列表"
- 股票推荐:如"低估值高分红的股票推荐"、"近期有主力资金流入的股票"
- 市场筛选:如"港股通标的股"、"美股中概股列表"
请求参数说明
| 参数 | 类型 | 必填 | 说明 |
|---|---|---|---|
keyword |
字符串 | 是 | 自然语言描述的选股条件 |
pageNo |
数字 | 否 | 页码,默认1 |
pageSize |
数字 | 否 | 每页数量,默认20,最大200 |
接口结果释义
一、顶层核心状态/统计字段
| 字段路径 | 类型 | 核心释义 |
|---|---|---|
status |
数字 | 接口全局状态,0 = 成功 |
message |
字符串 | 接口全局提示,ok = 成功 |
data.code |
字符串 | 选股业务层状态码,100 = 解析成功 |
data.msg |
字符串 | 选股业务层提示 |
data.data.resultType |
数字 | 结果类型枚举,2000 为标准选股结果 |
data.data.result.total |
数字 | 【核心】选股结果总数量(符合条件的股票数) |
2.1 列定义:data.data.result.columns(数组)
核心作用:定义表格每一列的展示规则,与dataList的行数据键一一映射。
| 子字段 | 类型 | 核心释义 |
|---|---|---|
title |
字符串 | 表格列展示标题(如最新价 (元)、涨跌幅 (%)) |
key |
字符串 | 【核心】列唯一业务键,与dataList中对象的键映射 |
unit |
字符串 | 列数值单位(元、%、股、倍) |
dataType |
字符串 | 列数据类型(String/Double/Long) |
2.2 行数据:data.data.result.dataList(数组)
核心作用:选股结果的具体股票数据,每个对象对应一只符合条件的股票。
| 核心键 | 数据类型 | 核心释义 |
|---|---|---|
SERIAL |
字符串 | 表格行序号 |
SECURITY_CODE |
字符串 | 股票代码(如 603866、300991) |
SECURITY_SHORT_NAME |
字符串 | 股票简称(如桃李面包、创益通) |
MARKET_SHORT_NAME |
字符串 | 市场简称(SH = 上交所,SZ = 深交所,HK = 港交所,US = 美股) |
NEWEST_PRICE |
数字/字符串 | 最新价(单位:元) |
CHG |
数字/字符串 | 涨跌幅(单位:%) |
PCHG |
数字/字符串 | 涨跌额(单位:元) |
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.
- 11d ago First seen · 162 lines · 81 tokens per session scan A 2550a2865fc4
eastmoney_select_stock is a skill published in the GitHub repository meission/eastmoney (17 stars, last pushed 5mo ago), licensed MIT. It adds 81 tokens to every session and 1,932 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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