mx-data

mx-data is a skill for Claude Code, Codex from chuancyzhang/deepseek-cowork. It costs 26 tokens per session (2,961 once invoked), scanned A, original, Apache-2.0.

A financial-data lookup tool based on Eastmoney's database, covering market prices and activity, company financial information, and links between related entities.

In plain words
What is it for?
Use it to look up market data, company financial data, and relationship data between connected companies or entities.
Why use it?
It provides a named source for financial data instead of requiring the model to rely on memory. The description does not specify the exact fields or queries available.

Skill for Claude CodeCodex

Which agent this was written for is unclear — built for openclaw. Also seen: built for openclaw.

Good fit Use it to look up market data, company financial data, and relationship data between connected companies or entities.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/chuancyzhang/deepseek-cowork/mx-data
Install

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.

Any agent
npx skills add chuancyzhang/deepseek-cowork --skill mx-data
Clone the repo
git clone --depth 1 https://github.com/chuancyzhang/deepseek-cowork

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for mx-data

README.md
[![agentmods](https://agentmods.dev/badge/skills/chuancyzhang/deepseek-cowork/mx-data/github.svg)](https://agentmods.dev/skills/chuancyzhang/deepseek-cowork/mx-data)
Your own site
<a href="https://agentmods.dev/skills/chuancyzhang/deepseek-cowork/mx-data"><img src="https://agentmods.dev/badge/skills/chuancyzhang/deepseek-cowork/mx-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.

agentmods 80×15 button for mx-data

Your own site · 80×15
<a href="https://agentmods.dev/skills/chuancyzhang/deepseek-cowork/mx-data"><img src="https://agentmods.dev/badge/skills/chuancyzhang/deepseek-cowork/mx-data.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 26 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,961 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00026 $0.02961
Opus 5.5 $0.00010 $0.01184
Sonnet 5.5 $0.00005 $0.00592
Haiku 4.5 $0.00003 $0.00296

Measured 1mo ago against content hash 89a72be6b248, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

mx-data 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 1mo ago.

The scan reads SKILL.md. This mod also ships 1 executable file (mx_data.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

ai_skills/eastmoney-miaoxiang/mx-data/SKILL.md · 199 lines

How it starts

The opening of the file, as written. The whole thing — 199 lines — stays where its author put it; the contents beside it link to each section on GitHub.

mx-data 妙想金融数据 skill

Cowork 适配说明:MX_APIKEY 和 MX_API_URL 由能力中心统一配置;默认产物目录为当前会话工作区的 mx_data/output。下文中的 export、OpenClaw 固定路径和直接安装说明仅作为上游参考。

本 Skill 基于东方财富权威数据库及最新行情底层数据构建,支持通过自然语言查询以下三类数据:

  1. 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。
  2. 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。
  3. 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。

采用此skill可避免模型基于自身过时知识回答金融相关数据问题,可为大模型提供权威及时的金融数据。

配置

  • API Key: 通过环境变量 MX_APIKEY 设置
  • 默认输出目录: /root/.openclaw/workspace/mx_data/output/(自动创建)
  • 输出文件名前缀: mx_data_
  • 输出文件:
    • mx_data_{query}.xlsx - Excel 文件,每个数据表一个 sheet(多 sheet)
    • mx_data_{query}_description.txt - 查询结果描述文件
    • mx_data_{query}_raw.json - API 原始 JSON 数据

使用方式(直接 Python 脚本调用)

  1. 在妙想Skills页面获取apikey。(链接:https://dl.dfcfs.com/m/itc4)
  2. 将apikey存到环境变量,命名为MX_APIKEY:
    export MX_APIKEY=your_apikey_here
    
  3. 直接运行 Python 脚本查询,支持自然语言问句:
# ==================== 常用调用示例 ====================

# 1. 个股实时行情查询
python ./mx_data.py "东方财富最新价"
python ./mx_data.py "贵州茅台今日收盘价 涨跌幅"
python ./mx_data.py "宁德时代主力资金流向"

# 2. 历史行情数据查询
python ./mx_data.py "贵州茅台近五年年报收盘价"
python ./mx_data.py "比亚迪近一年每个交易日的开盘价收盘价成交量"

# 3. 财务数据查询
python ./mx_data.py "贵州茅台近三年净利润 营业收入"
python ./mx_data.py "东方财富每股收益 净资产收益率 近五年"
python ./mx_data.py "万科A资产负债率 毛利率 近三年"

# 4. 上市公司基本信息
python ./mx_data.py "比亚迪公司简介 主营业务 成立时间"
python ./mx_data.py "贵州茅台董事长是谁 总股本多少"

# 5. 股东信息
python ./mx_data.py "贵州茅台十大股东"
python ./mx_data.py "比亚迪机构持股比例"
# 6. 板块/指数行情
python ./mx_data.py "沪深300指数最新点位 涨跌幅"
python ./mx_data.py "新能源板块成分股平均涨跌幅"

# 7. 指定输出目录(可选)
python ./mx_data.py "贵州茅台近五年年报" /path/to/output

⚠️ 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 MX_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。

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。

输出说明

脚本执行后会:

  1. 在终端输出查询结果预览(前20行)
  2. 自动创建输出目录 /root/.openclaw/workspace/mx_data/output/
  3. 保存完整数据到 Excel 文件(多 sheet)
  4. 保存原始 JSON 响应供二次处理
  5. 保存描述文件记录查询条件和结果统计

Read the full file on GitHub · 199 lines

Files

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.

Changes

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.

  1. 1mo ago First seen · 199 lines · 26 tokens per session scan A 89a72be6b248

Subscribe to this mod's changes

mx-data is a skill published in the GitHub repository chuancyzhang/deepseek-cowork (18 stars, last pushed today), licensed Apache-2.0. It adds 26 tokens to every session and 2,961 once invoked, about $0.0001 per session on Opus 5.5. 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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