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Market Scanner

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shaoxing-xie
market-scanner

市场扫描仪，提供盘前/盘中/盘后三阶段市场扫描、异动识别与情绪状态判断。

Overview

Publishershaoxing-xie
Repositoryopenclaw-data-china-stock
Skill namemarket-scanner
Stars
53
Forks
21
Bundled files
2
LicenseMIT
Links
Skill sourceRepository
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 2 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by shaoxing-xie on GitHub. Read the source before you install it.

Installation

Install the Market Scanner AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/shaoxing-xie/openclaw-data-china-stock/tree/main/skills/market-scanner
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/shaoxing-xie/openclaw-data-china-stock.git /tmp/openclaw-data-china-stock
mkdir -p .claude/skills
cp -r /tmp/openclaw-data-china-stock/skills/market-scanner .claude/skills/market-scanner
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Market Scanner in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Market Scanner on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Market Scanner is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Market Scanner

与 market-sentinel：本 Skill 主责时段化扫描、异动与市场快照；若要「涨停+资金+北向+板块」四源合成的整体情绪评分与阶段框架，请使用 skills/market-sentinel/SKILL.md，勿在本 Skill 中重复承担该聚合职责。

目标

对 A 股市场进行时段化扫描，输出可执行前的结构化观察结论与风险提示。

输入

  • 用户问题（盘前/盘中/盘后）
  • 指数、板块、资金流、涨停池与交易时段工具数据

输出（固定结构）

  1. 市场快照（指数、涨跌家数、成交环境）
  2. 板块与资金强弱
  3. 异动监控（放量突破/冲高回落/炸板）
  4. 情绪状态与应对剧本

证据表（必选）

  • 列出 tool_check_trading_status、tool_fetch_market_data 等调用与 quality_status；快照类结论须有工具字段对应。

反证与局限（必选）

  • 时段边界、数据新鲜度 data_freshness 不足时对结论降置信。

强制规则

  • 仅通过 manifest / tool_runner 调用依赖工具，禁止引导直连 plugins.data_collection。
  • 盘中叙事前必须先调用 tool_check_trading_status。
  • 输出必须带 event_window 与 data_freshness。
  • 缺少核心行情或广度数据时输出 insufficient_evidence。
  • 禁止输出买卖点、仓位比例、杠杆建议。
  • 情绪阈值从 config/market-scanner_config.yaml 读取。

依赖工具

  • tool_resolve_symbol（L2；标的代码归一，涉及个股/ETF/指数混输时优先）
  • tool_check_trading_status
  • tool_fetch_market_data
  • tool_fetch_sector_data
  • tool_fetch_a_share_fund_flow
  • tool_fetch_northbound_flow
  • tool_fetch_limit_up_stocks

通用输出字段

  • market_snapshot
  • breadth
  • sector_strength
  • flow_snapshot
  • anomaly_watchlist
  • sentiment_state
  • playbook
  • risks
  • event_window
  • data_freshness

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Market Scanner AI skill do?

市场扫描仪，提供盘前/盘中/盘后三阶段市场扫描、异动识别与情绪状态判断。

Why use Market Scanner on TypingMind?

Because you install it once and use it with any model. Market Scanner is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Market Scanner in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/shaoxing-xie/openclaw-data-china-stock/tree/main/skills/market-scanner. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Market Scanner?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Market Scanner?

As many as you like. As long as a model supports skills, you can use Market Scanner with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Market Scanner AI skill free?

Yes. It is published on GitHub by shaoxing-xie under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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