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 financial-datagit 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/financial-data)<a href="https://agentmods.dev/skills/meission/eastmoney/financial-data"><img src="https://agentmods.dev/badge/skills/meission/eastmoney/financial-data/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/financial-data"><img src="https://agentmods.dev/badge/skills/meission/eastmoney/financial-data.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 | $0.00114 | $0.01933 |
| Opus 5 | $0.00057 | $0.00966 |
| Sonnet 5 | $0.00023 | $0.00387 |
| Haiku 4.5 | $0.00011 | $0.00193 |
Grade A, and why
eastmoney_financial_data 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 10d 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/query' \ How it starts
The opening of the file, as written. The whole thing — 143 lines — stays where its author put it; the contents beside it link to each section on GitHub.
东方财富金融数据skill (eastmoney_financial_data)
通过文本输入查询金融相关数据（股票、板块、指数等），接口返回 JSON格式内容。
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 会将您的查询文本发送至东方财富官方 API 域名 (
mkapi2.dfcfs.com) 以获取金融数据。 - 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 会将您的查询文本发送至东方财富官方 API 域名 (
-
使用POST请求调用接口：
curl -X POST --location 'https://mkapi2.dfcfs.com/finskillshub/api/claw/query' \ --header 'Content-Type: application/json' \ --header "apikey: $EASTMONEY_APIKEY" \ --data '{"toolQuery":"用户的查询内容"}'
适用场景
当用户查询以下类型的内容时使用本skill：
- 行情类数据：股票、行业、板块、指数、基金、债券的实时行情、主力资金流向、估值等数据
- 财务类数据：上市公司与非上市公司的基本信息、财务指标、高管信息、主营业务、股东结构、融资情况等数据
- 关系与经营类数据：股票、非上市公司、股东及高管之间的关联关系数据，以及企业经营相关数据
数据限制说明
请谨慎查询大数据范围的数据，如某只股票3年的每日最新价，可能会导致返回内容过多，模型上下文爆炸问题。
返回结构说明
一级核心路径：data
| 字段路径 | 类型 | 核心释义 |
|---|---|---|
data.questionId |
字符串 | 查数请求唯一标识 ID，关联单次查询任务 |
data.dataTableDTOList |
数组 | 【核心】标准化后的证券指标数据列表，每个元素对应1 个证券 + 1 个指标的完整数据 |
data.rawDataTableDTOList |
数组 | 原始未加工的证券指标数据列表，与标准化列表结构完全一致，供原始数据调用 |
data.condition |
对象 | 本次查数的查询条件，记录查询关键词、时间范围等 |
data.entityTagDTOList |
数组 | 本次查询关联的证券主体汇总信息，去重后展示所有涉事证券的基础属性 |
二级核心路径：data.dataTableDTOList[]（单指标对象，表格核心）
数组内每个对象为独立的指标数据单元，包含证券信息 + 表格数据 + 指标元信息 + 证券标签四大部分。
2.1 证券基础信息
| 字段路径 | 类型 | 核心释义 |
|---|---|---|
dataTableDTOList[].code |
字符串 | 证券完整代码（含市场标识，如 300059.SZ） |
dataTableDTOList[].entityName |
字符串 | 证券全称（含代码，如东方财富 (300059.SZ)） |
dataTableDTOList[].title |
字符串 | 本指标数据的标题，概括查询结果（如东方财富最新价） |
2.2 表格数据核心（渲染用）
| 字段路径 | 类型 | 核心释义 | 表格逻辑 |
|---|---|---|---|
dataTableDTOList[].table |
对象 | 【核心】标准化表格数据，键 = 指标编码，值 = 指标数值数组；headName为时间 / 维度列值 |
键为指标列，headName为时间列，值为交叉单元格的指标数值 |
dataTableDTOList[].rawTable |
对象 | 原始表格数据，与table结构一致，未做数据标准化处理 |
同table，为原始数值，无格式 / 单位修正 |
dataTableDTOList[].nameMap |
对象 | 【核心】列名映射关系，将指标编码 / 内置字段转为业务中文名（如 f2→最新价） | 解决表格列名 “编码转中文” 的问题，headNameSub为时间列的固定名称 |
dataTableDTOList[].indicatorOrder |
数组 | 指标列的展示排序，元素为指标编码（如 [f2]） | 控制表格中多个指标列的前后顺序，单指标时为单元素数组 |
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.
- 10d ago First seen · 143 lines · 114 tokens per session scan A 09a84dd809c2
eastmoney_financial_data is a skill published in the GitHub repository meission/eastmoney (17 stars, last pushed 5mo ago), licensed MIT. It adds 114 tokens to every session and 1,933 once invoked, about $0.0006 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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