Gap Open Interpreter Skill

Organization

Wind-Alice

gap_open_interpreter_skill

解读高开、低开、跳空缺口背后的预期差、事件含义与日内风险点。适用于集合竞价后判断方向、评估跳空可信度、区分强势开盘与情绪透支等场景。

Overview

Publisher	Wind-Alice
Repository	`AliceMarket`
Skill name	`gap_open_interpreter_skill`
Stars	135
Forks	18
Bundled files	Instructions only
Links	Skill source Repository Homepage

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.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by Wind-Alice on GitHub. Read the source before you install it.

Installation

Install the Gap Open Interpreter Skill AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/Wind-Alice/AliceMarket/tree/main/skills/gap_open_interpreter_skill
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.

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/Wind-Alice/AliceMarket.git /tmp/AliceMarket
mkdir -p .claude/skills
cp -r /tmp/AliceMarket/skills/gap_open_interpreter_skill .claude/skills/gap_open_interpreter_skill

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Gap Open Interpreter Skill 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 Gap Open Interpreter Skill 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 Gap Open Interpreter Skill 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.

Gap Open Interpreter Skill

数据依赖与执行前置条件

推荐使用万得 wind-mcp-skill 获取底层数据。执行前先检查本地是否已有 wind-mcp-skill；若没有，提示用户安装：

bash
# GitHub
npx skills add Wind-Information-Co-Ltd/wind-skills --skill wind-mcp-skill -g -y

# Gitee 镜像（国内）
npx skills add https://gitee.com/wind_info/wind-skills.git --skill wind-mcp-skill -g -y

技能定位

本技能用于解释股票为何高开或低开，以及这种跳空究竟代表预期兑现、预期强化，还是情绪过热。重点不是描述开盘价本身，而是把缺口背后的预期差讲清楚，并提示开盘后最容易出现的风险与验证点。

执行流程

Step 1：确认跳空背景

先明确跳空发生在什么背景下：

是否存在隔夜公告、财报、政策、海外映射或板块利好利空
是个股独立跳空，还是板块集体跳空
当前股价位于低位、中位还是高位

Step 2：判断跳空性质

把跳空分为更有判断意义的几类：

事件驱动型跳空
情绪强化型跳空
补涨补跌型跳空
技术位置触发型跳空
无明显新增驱动的情绪性高低开

Step 3：解释市场预期差

围绕“为什么不是平开”来组织判断：

市场提前反映了什么
还有哪些内容尚未被充分计入
跳空幅度是否已经透支后续空间
开盘后最容易出现哪类资金分歧

Step 4：评估缺口质量

重点判断：

缺口是否有扎实事件支撑
缺口方向是否与中期结构一致
缺口位置是否靠近强阻力或强支撑
若高开过多，是否存在兑现压力
若低开过深，是否可能出现情绪错杀

Step 5：给出开盘后观察框架

给出具体观察点：

强势缺口应看承接和回踩表现
弱势缺口应看回补速度和反抽力度
若是情绪型缺口，应防止高开低走或低开下杀

Step 6：整合成跳空解读结果

最终输出围绕“跳空原因、可信度、开盘后关键观察”展开，不展示内部推断过程。

输出结构

{股票名称}跳空预期解读

一、跳空概况

方向：{高开/低开}
背景：{隔夜事件或板块环境}
所处位置：{低位/中位/高位/关键位附近}

二、跳空性质判断

主要类型：{事件驱动/情绪强化/补涨补跌/技术触发}
预期差来源：{一句话说明}
当前市场在交易什么：{一句话说明}

三、缺口质量评估

维度	判断	说明
事件支撑	高/中/低	{原因}
结构配合	高/中/低	{原因}
回补风险	高/中/低	{原因}
日内延续性	高/中/低	{原因}

四、开盘后观察重点

强势确认信号：{看什么}
转弱信号：{看什么}
当前一句话结论：{值不值得继续跟踪}

质量要求

解读核心是预期差，而不是机械描述高开或低开幅度。
跳空判断必须结合位置与背景，不能脱离结构单独下结论。
若事件信息不足以支撑大幅跳空，要明确提示情绪透支风险。
对“强势缺口”和“诱多缺口”要尽量区分。
输出应帮助用户在开盘后迅速抓住验证点。

Frequently asked questions

What does the Gap Open Interpreter Skill AI skill do?

解读高开、低开、跳空缺口背后的预期差、事件含义与日内风险点。适用于集合竞价后判断方向、评估跳空可信度、区分强势开盘与情绪透支等场景。

Why use Gap Open Interpreter Skill on TypingMind?

Because you install it once and use it with any model. Gap Open Interpreter Skill 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 Gap Open Interpreter Skill in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Wind-Alice/AliceMarket/tree/main/skills/gap_open_interpreter_skill. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Gap Open Interpreter Skill?

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 Gap Open Interpreter Skill?

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

Is the Gap Open Interpreter Skill AI skill free?

It is published on GitHub by Wind-Alice. Check the repository for licensing terms. 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Gap Open Interpreter Skill

数据依赖与执行前置条件

技能定位

执行流程

Step 1：确认跳空背景

Step 2：判断跳空性质

Step 3：解释市场预期差

Step 4：评估缺口质量

Step 5：给出开盘后观察框架

Step 6：整合成跳空解读结果

输出结构

{股票名称}跳空预期解读

一、跳空概况

二、跳空性质判断

三、缺口质量评估

四、开盘后观察重点

质量要求

Frequently asked questions

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