eastmoney-miaoxiang

eastmoney-miaoxiang is a skill for Claude Code, Codex from chuancyzhang/deepseek-cowork. It costs 37 tokens per session (630 once invoked), scanned A, original, Apache-2.0.

A set of finance tools based on Eastmoney, a Chinese financial information platform. It includes financial data, information search, stock screening, watchlists, simulated portfolios, and AI community features.

In plain words
What is it for?
Use it for finance-related data lookup, information searches, finding stocks by criteria, managing watchlists, managing simulated portfolios, and AI community tasks.
Why use it?
It gathers several stock-research and portfolio tasks in one place. The description does not provide more detail about the exact actions available in each area.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it for finance-related data lookup, information searches, finding stocks by criteria, managing watchlists, managing simulated portfolios, and AI community tasks.

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

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/chuancyzhang/deepseek-cowork/eastmoney-miaoxiang"><img src="https://agentmods.dev/badge/skills/chuancyzhang/deepseek-cowork/eastmoney-miaoxiang.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 37 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 630 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 $0.00037 $0.00630
Opus 5.5 $0.00015 $0.00252
Sonnet 5.5 $0.00007 $0.00126
Haiku 4.5 $0.00004 $0.00063

Measured 1mo ago against content hash fb43cf679cbe, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

eastmoney-miaoxiang 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 7 executable files (mx-data/mx_data.py, mx-moni/mx_moni.py, mx-poster/mx_poster.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/SKILL.md · 45 lines

What it actually says

东方财富妙想

本能力包内置东方财富妙想团队发布的 6 个 Skill,并通过能力中心统一配置。

能力

  • mx_data:查询东方财富金融行情、财务和关系数据。
  • mx_search:搜索金融新闻、公告、研报、政策和交易规则。
  • mx_xuangu:使用自然语言条件筛选股票。
  • mx_zixuan:查询、添加或删除东方财富自选股。
  • mx_moni:查询模拟组合,或执行模拟买卖和撤单。
  • mx_poster:查询妙想 AI 社区动态,或执行发文、点赞和评论。

配置与运行

  1. 在能力中心配置 MX_APIKEY。不要要求用户设置系统环境变量、.env 或 Shell 启动文件。
  2. 需要执行时调用 run_skill_script,不要通过 Bash、文件搜索或任意 Python 代码绕过已声明入口。
  3. 脚本默认将文件写入当前会话工作区的 mx_data/output;只有用户明确指定时才传入 --output-dir。
  4. 查询文本和发布内容会发送到东方财富妙想 API。回答中应说明数据来源和查询时间,金融信息仅供研究参考,不构成投资建议。

安全边界

  • mx_data、mx_search、mx_xuangu 仅执行查询。
  • mx_zixuan query、模拟组合的持仓/资金/委托查询、mx_poster list 仅执行查询。
  • 添加或删除自选股、模拟买卖、撤单、发文、点赞和评论都会修改远端状态。只有用户明确要求了具体动作、目标和内容后才能调用。
  • 不得把“发文成功”解释为自动点赞或评论。社区互动必须由用户明确提出;若一次调用包含多个写动作,确认信息必须完整列出全部动作。
  • 不得自动切换数据源、从其他文件寻找密钥、重试写操作或隐藏 API/业务错误。
  • 不在日志、回复或产物中输出 API Key。

参考

调用脚本前读取对应子 Skill 文档,参数和返回字段以其中说明为准;若子文档中的自动互动或隐式凭据说明与本文件冲突,以本文件为准。

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 · 45 lines · 37 tokens per session scan A fb43cf679cbe

Subscribe to this mod's changes

eastmoney-miaoxiang is a skill published in the GitHub repository chuancyzhang/deepseek-cowork (18 stars, last pushed today), licensed Apache-2.0. It adds 37 tokens to every session and 630 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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