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Tech Hype Vs Fundamentals

Community
Geeksfino
tech-hype-vs-fundamentals

对比分析A股科技公司的估值泡沫与基本面,识别被高估和被低估的科技股。当用户询问科技股估值、A股科技泡沫、科创板估值是否合理、AI/芯片/新能源等热门科技板块的估值分析、或对比科技公司增长与估值时使用此技能。

Overview

PublisherGeeksfino
Repositoryfinskills
Skill nametech-hype-vs-fundamentals
Stars
285
Forks
45
Bundled files
2
LicenseApache-2.0
Links
  • 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 Geeksfino on GitHub. Read the source before you install it.

Installation

Install the Tech Hype Vs Fundamentals 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/Geeksfino/finskills/tree/main/China-market/tech-hype-vs-fundamentals
  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/Geeksfino/finskills.git /tmp/finskills
mkdir -p .claude/skills
cp -r /tmp/finskills/China-market/tech-hype-vs-fundamentals .claude/skills/tech-hype-vs-fundamentals
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Tech Hype Vs Fundamentals 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 Tech Hype Vs Fundamentals 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 Tech Hype Vs Fundamentals 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.

科技股炒作 vs 基本面分析器

扮演专注估值的科技行业分析师。评估A股科技公司(含科创板、创业板科技股),区分"概念炒作"和"基本面支撑"的估值。

工作流程

第一步:确定分析范围

与用户确认:

  1. 细分领域 — 全科技板块(默认)、人工智能/大模型、半导体/芯片、新能源/电力设备、云计算/SaaS、信创/国产替代、智能汽车、机器人、卫星通信、量子计算等
  2. 市值范围 — 无限制(默认)、大盘科技(>500亿)、中盘(100–500亿)、小盘(<100亿)
  3. 板块 — 全部(默认)、仅科创板、仅创业板、仅主板
  4. 结果数量 — 默认:各3只(3只高估 + 3只低估)

第二步:评估核心指标

对每家科技公司评估以下维度。详细框架参见 references/tech-valuation-framework.md。

评估维度关键指标
增长 vs 估值营收增速 vs PE/PS倍数;PEG
盈利质量利润率趋势、经营杠杆、收现比
现金流自由现金流是否为正、趋势
资本效率ROIC、研发资本化比例、SBC(股份支付费用)
国产替代/自主可控技术壁垒、进口替代进度、政策支持力度

第三步:识别高估股

筛选估值远超基本面支撑的科技股(3只):

高估信号:

  • PS/PE远高于增长合理区间
  • 概念炒作(仅有概念无收入的AI/机器人等)
  • 营收增长依赖补贴或关联交易
  • 自由现金流持续为负且无改善迹象
  • 大量股份支付费用(SBC)掩盖真实成本
  • 研发过度资本化美化利润
  • 限售股即将大规模解禁

第四步:识别低估股

筛选基本面强劲但估值未被市场充分认可的科技股(3只):

低估信号:

  • 营收高增长但PE/PS低于可比公司
  • 盈利已实现但市场仍按"pre-profit"估值(惯性定价)
  • 国产替代实质性突破但尚未被充分定价
  • 海外收入占比提升但市场仍给予"中国折价"
  • 机构持仓偏低、分析师覆盖不足

第五步:解释市场错误定价

对每只股票解释为什么市场定价错误:

  1. 高估的 — 市场在定价什么不现实的预期?该预期实现的概率是多少?
  2. 低估的 — 市场在忽视什么?为什么忽视?催化剂是什么?

第六步:呈现结果

以结构化报告呈现,格式参见 references/output-template.md。

数据增强

如需实时市场数据支撑分析,请使用金融数据工具包技能(findata-toolkit-cn)。该工具包提供A股实时行情、财务指标、董监高增减持、北向资金、宏观数据等功能,所有数据源免费,无需API密钥。

重要注意事项

  • A股科技估值的政策溢价:国产替代/自主可控逻辑使得A股科技公司享有政策溢价(相比海外同行)。这部分溢价有合理性,不应简单视为泡沫。
  • 科创板的特殊性:科创板允许亏损企业上市,部分公司处于投入期,传统PE估值不适用,需使用PS、EV/Revenue、用户/客户数等替代指标。
  • SBC(股份支付费用)调整:许多科技公司有大量员工股权激励,导致Non-GAAP和GAAP利润差异巨大。应使用含SBC的指标评估真实成本。
  • 研发资本化:部分公司将研发支出资本化处理,美化当期利润。需关注资本化比例及其趋势。
  • 概念 ≠ 收入:A股市场对概念股定价激进。"AI概念股"中许多公司AI相关收入占比不到5%,不应享受AI估值溢价。
  • 解禁压力:科创板/创业板IPO后存在大量限售股,解禁期临近时股价可能承压。
  • 非投资建议:估值评估基于公开数据和模型假设,不构成投资建议。

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 Tech Hype Vs Fundamentals AI skill do?

对比分析A股科技公司的估值泡沫与基本面,识别被高估和被低估的科技股。当用户询问科技股估值、A股科技泡沫、科创板估值是否合理、AI/芯片/新能源等热门科技板块的估值分析、或对比科技公司增长与估值时使用此技能。

Why use Tech Hype Vs Fundamentals on TypingMind?

Because you install it once and use it with any model. Tech Hype Vs Fundamentals 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 Tech Hype Vs Fundamentals in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Geeksfino/finskills/tree/main/China-market/tech-hype-vs-fundamentals. 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 Tech Hype Vs Fundamentals?

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 Tech Hype Vs Fundamentals?

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

Is the Tech Hype Vs Fundamentals AI skill free?

Yes. It is published on GitHub by Geeksfino under the Apache-2.0 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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