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A Stock Premarket Briefing

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lxyeternal
a-stock-premarket-briefing

A 股盘前简报技能，交易日开盘前分析市场新闻、宏观事件，生成投资参考报告。整合 multi-search-engine 和 summarize，无需 API Key。

Overview

Publisherlxyeternal
RepositoryMalSkillBench
Skill namea-stock-premarket-briefing
Stars
64
Forks
14
Bundled files
1
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.

  • 1 bundled files

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

  • Open source

    Published by lxyeternal on GitHub. Read the source before you install it.

Installation

Install the A Stock Premarket Briefing 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/lxyeternal/MalSkillBench/tree/main/Dataset/Skills/benign/a-stock-premarket-briefing
  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/lxyeternal/MalSkillBench.git /tmp/MalSkillBench
mkdir -p .claude/skills
cp -r /tmp/MalSkillBench/Dataset/Skills/benign/a-stock-premarket-briefing .claude/skills/a-stock-premarket-briefing
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable A Stock Premarket Briefing 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 A Stock Premarket Briefing 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 A Stock Premarket Briefing 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.

A 股盘前简报 Skill

交易日专用 — 在开盘前（9:00-9:25）对 A 股市场进行全方位分析，帮助把握当日投资主线。

何时使用

✅ 使用场景：

  • "今日 A 股盘前分析"
  • "生成今日盘前简报"
  • "今天市场有什么热点"
  • 交易日开盘前市场预判（8:00-9:15）
  • 投资决策参考

❌ 不使用场景：

  • 非交易日（周末、节假日）
  • 盘中实时分析（应用其他技能）
  • 个股深度研究

数据来源

  • multi-search-engine — 17 个搜索引擎覆盖中英文信息源
  • summarize — AI 分析与总结
  • 优先官方/一手来源（交易所、证监会、权威财经媒体）

使用方法

基础用法

bash
python3 scripts/a_stock_premarket_briefing.py

在对话中

直接请求：

  • "今日 A 股盘前简报"
  • "生成盘前分析报告"
  • "今天市场主线是什么"

输出内容

  1. 📰 关键新闻摘要 — 过去 12 小时 5+ 来源的市场新闻
  2. 🎯 今日主线叙事 — 3 条核心投资逻辑
  3. 📊 市场偏向判断 — 多/空/震荡 + 置信度%
  4. 🔥 最强板块预测 — 当日可能领涨的板块
  5. 👀 可观察标的清单 — 5 个值得关注的 A 股标的
  6. 🔗 来源链接 — 每条结论附带原始来源

示例输出

==================================================
📈 A 股盘前简报
📅 2026 年 03 月 14 日 08:30 (Asia/Shanghai)
==================================================

【📰 关键新闻摘要】
1. 美联储议息会议释放鸽派信号，全球风险偏好回升
   来源：https://www.xinhuanet.com/...
2. 证监会发布科创板做市商制度新规
   来源：http://www.csrc.gov.cn/...
3. 宁德时代发布新一代电池技术，能量密度提升 30%
   来源：https://finance.sina.com.cn/...
4. 北向资金昨日净流入 85 亿元，连续 3 日加仓
   来源：https://www.eastmoney.com/...
5. 美股科技股昨夜大涨，纳斯达克 +2.5%
   来源：https://cnbc.com/...

【🎯 今日主线叙事】
1. 科技成长主线：美联储鸽派 + 美股科技大涨，A 股科技板块有望接力
2. 新能源反弹：宁德时代新技术催化，锂电产业链情绪修复
3. 政策预期：科创板新规落地，券商和创投板块受益

【📊 市场偏向判断】
偏向：偏多 📈
置信度：72%
理由：
- 外围市场情绪积极（美股大涨）
- 北向资金持续流入
- 无重大利空消息

【🔥 最强板块预测】
1. CPO/光模块 — 美股 AI 硬件大涨传导
2. 锂电池 — 宁德时代新技术催化
3. 券商 — 科创板新规政策利好

【👀 可观察标的清单】
1. 中际旭创 (300308) — CPO 龙头，美股映射
2. 宁德时代 (300750) — 新技术发布，行业风向标
3. 新易盛 (300502) — 光模块弹性标的
4. 中信证券 (600030) — 券商龙头，政策受益
5. 亿纬锂能 (300014) — 锂电二线龙头，补涨逻辑

==================================================
💡 数据来源：multi-search-engine + summarize 分析
⚠️ 风险提示：盘前分析仅供参考，不构成投资建议。股市有风险，投资需谨慎。
==================================================

依赖

  • Python 3.7+
  • requests 库
  • summarize CLI（brew 安装）
  • multi-search-engine 技能
bash
pip install requests
brew install steipete/tap/summarize

搜索策略

核心关键词（过去 12 小时）

  • "A 股 最新消息"
  • "美联储 最新讲话"
  • "证监会 新政"
  • "北向资金 今日"
  • "美股 昨夜"
  • "中概股 涨跌"

优先来源

  • 官方：证监会、交易所、新华社
  • 权威：财新、一财、证券时报
  • 数据：东方财富、同花顺

注意事项

  1. 最佳使用时机：交易日 8:00-9:15（开盘前）
  2. 非交易日：自动提示跳过
  3. 网络依赖：需要稳定的网络连接
  4. 免责声明：仅供参考，不构成投资建议

扩展建议

  • 添加 tavily-search 结构化数据补充
  • 添加隔夜外盘详细数据
  • 添加 A50 期货、人民币汇率
  • 添加龙虎榜/大宗交易数据
  • 支持导出 Markdown/PDF 报告

版本

v1.0.0 - 初始版本

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 A Stock Premarket Briefing AI skill do?

A 股盘前简报技能，交易日开盘前分析市场新闻、宏观事件，生成投资参考报告。整合 multi-search-engine 和 summarize，无需 API Key。

Why use A Stock Premarket Briefing on TypingMind?

Because you install it once and use it with any model. A Stock Premarket Briefing 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 A Stock Premarket Briefing in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/lxyeternal/MalSkillBench/tree/main/Dataset/Skills/benign/a-stock-premarket-briefing. 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 A Stock Premarket Briefing?

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 A Stock Premarket Briefing?

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

Is the A Stock Premarket Briefing AI skill free?

It is published on GitHub by lxyeternal. 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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