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-searchgit 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-search)<a href="https://agentmods.dev/skills/chuancyzhang/deepseek-cowork/mx-search"><img src="https://agentmods.dev/badge/skills/chuancyzhang/deepseek-cowork/mx-search/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-search"><img src="https://agentmods.dev/badge/skills/chuancyzhang/deepseek-cowork/mx-search.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 | $0.00094 | $0.01486 |
| Opus 5.5 | $0.00038 | $0.00594 |
| Sonnet 5.5 | $0.00019 | $0.00297 |
| Haiku 4.5 | $0.00009 | $0.00149 |
Grade A, and why
mx-search 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 — 117 lines — stays where its author put it; the contents beside it link to each section on GitHub.
mx-search 妙想资讯搜索 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 基于东方财富妙想搜索能力，基于金融场景进行信源智能筛选，用于获取涉及时效性信息或特定事件信息的任务，包括新闻、公告、研报、政策、交易规则、具体事件、各种影响分析、以及需要检索外部数据的非常识信息等。避免AI在搜索金融场景信息时，参考到非权威、及过时的信息。
功能说明
根据用户问句搜索相关金融资讯，获取与问句相关的资讯信息（如研报、新闻、解读等），并返回可读的文本内容。
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_search_ - 输出文件:
mx_search_{query}.txt- 提取后的纯文本结果mx_search_{query}.json- API 原始 JSON 数据
使用方式（直接 Python 脚本调用）
- 需要用户在妙想Skills页面获取apikey。
- 将apikey存到环境变量，命名为MX_APIKEY：
export MX_APIKEY=your_apikey_here - 直接运行 Python 脚本搜索，支持自然语言问句：
# ==================== 常用调用示例 ====================
# 1. 个股相关资讯
python ./mx_search.py "东方财富最新公告"
python ./mx_search.py "贵州茅台最新研报"
python ./mx_search.py "比亚迪机构观点汇总"
# 2. 行业/板块新闻
python ./mx_search.py "人工智能板块近期新闻"
python ./mx_search.py "新能源汽车产业政策最新解读"
# 3. 宏观经济与市场分析
python ./mx_search.py "美联储加息对A股影响分析"
python ./mx_search.py "今日大盘异动原因分析"
python ./mx_search.py "北向资金最新流向解读"
# 4. 个股事件
python ./mx_search.py "贵州茅台分红派息实施公告"
python ./mx_search.py "宁德时代定增预案解读"
# 5. 交易规则
python ./mx_search.py "科创板交易涨跌幅限制"
python ./mx_search.py "新股申购规则"
# 6. 指定输出目录（可选）
python ./mx_search.py "格力电器最新研报" /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。
输出说明
脚本执行后会：
- 在终端格式化输出搜索结果，列出每条资讯的标题、来源、日期、内容
- 自动创建输出目录
/root/.openclaw/workspace/mx_data/output/ - 保存纯文本提取结果到
.txt文件 - 保存原始 JSON 响应供二次处理
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 |
| 未找到相关资讯 | 关键词太偏门或没有最新相关信息 | 尝试更换关键词，或扩大搜索范围 |
| 返回内容为空 | 网络中断或请求超时 | 检查网络后重试 |
| JSON解析错误 | 网络不完整导致内容截断 | 检查网络后重试 |
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 · 117 lines · 94 tokens per session scan A 08f0539e75f8
mx-search is a skill published in the GitHub repository chuancyzhang/deepseek-cowork (18 stars, last pushed today), licensed Apache-2.0. It adds 94 tokens to every session and 1,486 once invoked, about $0.0004 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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