ClawHub

Mx Finance Data

v0.1.0

基于东方财富数据库，支持自然语言查询金融数据，覆盖A港美、基金、债券等多种资产，含实时行情、公司信息、估值、财务报表等，可用于投资研究、交易复盘、市场监控、行业分析、信用研究、财报审计、资产配置等场景，适配机构与个人多元需求。返回结果包含数据说明及 xlsx 文件。Natural language query f...

⭐ 0· 91·0 current·0 all-time
by@akiry09

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OpenClaw Prompt Flow

Install with OpenClaw

Best for remote or guided setup. Copy the exact prompt, then paste it into OpenClaw for akiry09/mx-mx-finance-data.

Previewing Install & Setup.
Prompt PreviewInstall & Setup
Install the skill "Mx Finance Data" (akiry09/mx-mx-finance-data) from ClawHub.
Skill page: https://clawhub.ai/akiry09/mx-mx-finance-data
Keep the work scoped to this skill only.
After install, inspect the skill metadata and help me finish setup.
Required env vars: EM_API_KEY
Use only the metadata you can verify from ClawHub; do not invent missing requirements.
Ask before making any broader environment changes.

Command Line

CLI Commands

Use the direct CLI path if you want to install manually and keep every step visible.

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openclaw skills install mx-mx-finance-data

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npx clawhub@latest install mx-mx-finance-data
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Purpose & Capability
Name/description claim queries against 东方财富; the code constructs HTTP requests to an EastMoney API URL and requires EM_API_KEY — this aligns with the stated purpose. Declared Python deps (httpx, pandas, openpyxl) are appropriate for HTTP calls and writing Excel files.
✓
Instruction Scope
SKILL.md instructs setting EM_API_KEY, installing Python deps, and running scripts/get_data.py with a natural-language query. The runtime instructions and the script operate only on the query and the EastMoney endpoint and produce local XLSX/txt outputs as described; they do not request unrelated system files or extra credentials.
ℹ
Install Mechanism
There is no platform install spec, but SKILL.md directs users to pip3 install httpx pandas openpyxl. Installing standard PyPI packages is expected for this functionality; verify packages are retrieved from official PyPI repositories in a safe environment (virtualenv) if desired.
✓
Credentials
Only a single environment variable (EM_API_KEY) is required and it is directly related to the EastMoney API authentication. Nothing else in the manifest or SKILL.md asks for unrelated tokens, passwords, or multiple credentials.
✓
Persistence & Privilege
The skill is not always-enabled, does not request elevated platform privileges, and writes outputs to a local subdirectory (miaoxiang/mx_finance_data). It does not modify other skills or system-wide agent settings.
Assessment
This skill appears to do what it claims: call EastMoney APIs using the EM_API_KEY and write results to local XLSX/txt files. Before installing: (1) Confirm your EM_API_KEY is legitimately issued by the EastMoney/mxClaw service and that you understand its scope and revocation options. (2) Keep EM_API_KEY secret — do not paste it into prompts or share outputs that include the key. (3) Install the Python deps in an isolated environment (virtualenv) and review the script if you require higher assurance; it will send your query and the API key to an EastMoney endpoint (ai-saas.eastmoney.com). (4) Note the script creates a local folder miaoxiang/mx_finance_data and writes XLSX and description files there. If you want extra caution, run the script in a sandbox or inspect the full script for any additional network endpoints before use.

Like a lobster shell, security has layers — review code before you run it.

Runtime requirements

EnvEM_API_KEY
latestvk974c2xanv72n09vhd37eavq1s847m48
91downloads
0stars
1versions
Updated 3w ago
v0.1.0
MIT-0
@akiry09
latest
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金融数据查询

密钥来源与安全说明

  • 本技能仅使用一个环境变量：EM_API_KEY。
  • EM_API_KEY 由东方财富妙想服务（https://ai.eastmoney.com/mxClaw）签发，用于其接口鉴权。
  • 在提供密钥前，请先确认密钥来源、可用范围、有效期及是否支持重置/撤销。
  • 禁止在代码、提示词、日志或输出文件中硬编码/明文暴露密钥。

功能范围

1. 支持查询的对象范围

  • 股票（A 股、港股、美股）
  • 板块、指数、股东
  • 企业发行人、债券、非上市公司
  • 股票市场、基金市场、债券市场

2. 支持查询的数据类型

支持查询以下类型的结构化数据：

  • 实时行情（现价、涨跌幅、盘口数据等）
  • 量化数据（技术指标、资金流向等）
  • 报表数据（营收、净利润、财务比率等）

3. 支持的查询方式与严格限制

支持多实体、多指标、多时间范围的组合查询。受后端接口限制，单次查询必须遵循以下配额：

  • 实体上限：单次最多支持 5 个 股票/金融实体。
  • 处理逻辑：若用户请求超过上述限制，Skill 将优先处理前 5 个实体，并在结果说明文件中予以提示。

示例： “查询 A、B、C、D、E、F 六只股票的营收” -> 仅返回前五只。

4. 输出结果

Skill 执行后会输出以下文件：

  • 一个查数结果 xlsx 文件，用于承载结构化查询结果
  • 一个结果说明 txt 文件，用于描述查询内容、结果含义及必要说明

查询示例

基础指标查询

  • 东方财富的基本面
  • 贵州茅台最近一年的营业收入和净利润
  • 半导体etf的业绩表现

实时行情与盘口查询

  • 当前300059的实时买单
  • 英伟达现在的最新价和涨跌幅
  • 沪深300当前点位和成交额

多实体、多指标、多时间查询（注意配额）

  • 合规示例：对比创业板指、沪深300、中证500（3个实体）春节以来的涨幅（1个指标）。
  • 合规示例：东方财富、拼多多（2个实体）最近一年的营收、毛利、净利（3个指标）。
  • 超限提示：若查询“沪深前十大权重股的PE”，系统将截取前 5 名进行查询。

补充说明

  • 本 Skill 面向金融结构化数据与关系数据查询，不侧重主观分析、投资建议或资讯解读。
  • 语句中必须包含明确的金融实体名称。
  • 当用户使用自然语言发起查询时，Skill 可根据问句内容识别查询对象、指标和时间范围，并输出结构化结果文件。
  • 对于支持范围内的查询请求，优先输出结构化查数结果，并同时生成结果说明文件，便于后续使用。

前提条件

1. 注册东方财富妙想账号

访问 https://ai.eastmoney.com/mxClaw 注册账号并获取API_KEY。

2. 配置 Token

# macOS 添加到 ~/.zshrc，Linux 添加到 ~/.bashrc
export EM_API_KEY="your_api_key_here"

然后根据系统执行对应的命令：

macOS：

source ~/.zshrc

Linux：

source ~/.bashrc

3. 安装依赖

pip3 install httpx pandas openpyxl --user

快速开始

在工作目录下执行

python3 {baseDir}/scripts/get_data.py --query "贵州茅台近期走势如何"

输出示例

xlsx: /path/to/miaoxiang/mx_finance_data/mx_finance_data_9535fe18.xlsx
描述: /path/to/miaoxiang/mx_finance_data/mx_finance_data_9535fe18_description.txt
行数: 42

输出文件说明

文件说明
mx_finance_data_<查询id>.xlsx结构化数据表，包含请求的实体与指标
mx_finance_data_<查询id>_description.txt包含查询逻辑说明、字段含义及配额截断提示

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