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 chuancyzhang/deepseek-cowork --skill mx-zixuangit clone --depth 1 https://github.com/chuancyzhang/deepseek-coworkWrote 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/chuancyzhang/deepseek-cowork/mx-zixuan)<a href="https://agentmods.dev/skills/chuancyzhang/deepseek-cowork/mx-zixuan"><img src="https://agentmods.dev/badge/skills/chuancyzhang/deepseek-cowork/mx-zixuan/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/chuancyzhang/deepseek-cowork/mx-zixuan"><img src="https://agentmods.dev/badge/skills/chuancyzhang/deepseek-cowork/mx-zixuan.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 | $0.00042 | $0.01465 |
| Opus 5.5 | $0.00017 | $0.00586 |
| Sonnet 5.5 | $0.00008 | $0.00293 |
| Haiku 4.5 | $0.00004 | $0.00146 |
Grade A, and why
mx-zixuan 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.
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.
How it starts
The opening of the file, as written. The whole thing — 137 lines — stays where its author put it; the contents beside it link to each section on GitHub.
mx-zixuan 妙想自选管理skill
Cowork 适配说明：密钥只从能力中心注入，不读取
.env。查询为只读操作；添加或删除自选股必须由用户明确提出具体目标后执行。默认产物目录为当前会话工作区的mx_data/output。
通过自然语言查询或操作东方财富通行证账户下的自选股数据，接口返回JSON格式内容。
功能列表
- ✅ 查询我的自选股列表
- ✅ 添加指定股票到我的自选股列表
- ✅ 从我的自选股列表中删除指定股票
配置
- API Key: 通过环境变量
MX_APIKEY设置（与其他妙想技能共享） - 默认输出目录:
/root/.openclaw/workspace/mx_data/output/（自动创建） - 输出文件名前缀:
mx_zixuan_ - 输出文件:
mx_zixuan_{query}.csv- 自选股列表 CSV 格式mx_zixuan_{query}_raw.json- API 原始 JSON 数据
前置要求
-
获取东方财富妙想Skills页面的apikey
-
将apikey配置到环境变量
MX_APIKEY -
确保网络可以访问
https://mkapi2.dfcfs.com⚠️ 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。
- 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 (
使用方式（直接 Python 脚本调用）
# 先设置环境变量
export MX_APIKEY=your_apikey_here
1. 查询自选股列表
# 明确命令
python ./mx_zixuan.py query
# 自然语言查询
python ./mx_zixuan.py "查询我的自选股列表"
python ./mx_zixuan.py "我的自选"
python ./mx_zixuan.py "看一下自选"
2. 添加股票到自选股
# 明确命令
python ./mx_zixuan.py add "贵州茅台"
python ./mx_zixuan.py add "300059"
# 自然语言
python ./mx_zixuan.py "把贵州茅台添加到我的自选股列表"
python ./mx_zixuan.py "加入自选 比亚迪"
3. 删除自选股
# 明确命令
python ./mx_zixuan.py delete "贵州茅台"
# 自然语言
python ./mx_zixuan.py "把贵州茅台从我的自选股列表删除"
python ./mx_zixuan.py "删除自选 万科A"
异常情形与处理方式
| 异常情形 | 可能原因 | 处理方式 |
|---|---|---|
| connect: Connection refused | 网络无法访问 mkapi2.dfcfs.com | 检查服务器网络配置，确保能访问公网 |
| 401 Unauthorized / API密钥不存在 | API Key 错误或已失效 | 前往妙想Skills页面重新获取 API Key 并更新环境变量 |
| code=113 / 今日调用次数已达上限 | 当日调用次数超限 | 前往妙想Skills页面获取更多调用次数 |
| 自选股列表为空 | 账户下没有自选股 | 在东方财富App添加自选股后重试，或使用 add 命令添加 |
| 找不到该股票 | 股票名称/代码不正确 | 确认股票名称或代码正确，使用6位数字代码成功率更高 |
| 操作失败 | 股票已经在自选股中（添加）或不在自选股中（删除） | 先查询确认当前自选股列表再操作 |
| JSON解析错误 | 网络中断或返回内容不完整 | 检查网络后重试 |
输出示例
查询自选股成功
📊 我的自选股列表
================================================================================
股票代码 | 股票名称 | 最新价(元) | 涨跌幅(%) | 涨跌额(元) | 换手率(%) | 量比
--------------------------------------------------------------------------------
600519 | 贵州茅台 | 1850.00 | +2.78% | +50.00 | 0.35% | 1.2
300750 | 宁德时代 | 380.00 | -1.25% | -4.80 | 0.89% | 0.9
================================================================================
共 2 只自选股
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.
- 1mo ago First seen · 137 lines · 42 tokens per session scan A f06e8b2e6fea
mx-zixuan is a skill published in the GitHub repository chuancyzhang/deepseek-cowork (18 stars, last pushed today), licensed Apache-2.0. It adds 42 tokens to every session and 1,465 once invoked, about $0.0002 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.
Other skills, from other repositories
sector-rotation
An analysis framework for comparing industries in the Chinese A-share stock market, using business conditions, price momentum, valuation, and money flows. It produces rankings and higher- or lower-allocation suggestions.
twitter-reader
Read Twitter/X for financial research through opencli: the user's home timeline, tweet search, trending topics, bookmarks, a user's recent tweets, threads, articles, profiles, followers and following, and notifications. Use this skill whenever the user wants to know what people are saying on Twitter/X or fintwit about…
strategy-pivot-designer
Detect backtest iteration stagnation and generate structurally different strategy pivot proposals when parameter tuning reaches a local optimum.
energy-procurement
Codified expertise for electricity and gas procurement, tariff optimization, demand charge management, renewable PPA evaluation, and multi-facility energy cost management. Informed by energy procurement managers with 15+ years experience at large commercial and industrial consumers. Includes market structure analysis…
airdrop-hunting-guide
Guide to finding and qualifying for crypto airdrops — eligibility criteria, farming strategies, on-chain activity requirements, Sybil detection avoidance, and tracking tools. Use when helping users understand airdrops, check eligibility, or plan participation strategies.
china-portfolio-monitoring
A monitoring framework for tracking the financial results, operating measures, strategic milestones, and risks of companies held by China-focused private-equity funds. It uses measures such as revenue growth, margins, debt, cash flow, and return on equity.