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赵克常老师SKILL
by
weqwhdiowa
· GitHub ↗
· v1.0.0
· MIT-0
198
Downloads
0
Stars
0
Active Installs
1
Versions
Install in OpenClaw
/install zhao-investment
Description
三维投资分析框架 - 基于宏观-行业-公司三维认知的投资分析体系。使用场景:(1) 个股深度分析,(2) 投资组合诊断,(3) 行业赛道评估,(4) 宏观经济研判,(5) 交易决策支持。当用户需要进行股票投资分析、构建投资体系、评估标的质地、制定交易策略时触发此skill。
Usage Guidance
This skill is internally coherent and appears to be purely an analytical framework rather than code that runs on your system. Before using it: (1) remember it is educational and not financial advice — verify any trade decisions yourself; (2) when the skill asks to fetch real-time data, ensure the external tools or web sources it uses are trustworthy; (3) do not provide brokerage or other sensitive credentials to the skill (none are requested); and (4) note the skill's source/homepage is unknown — if provenance or author verification matters to you, seek a published/verified source or author attribution before relying on it for real trades.
Capability Analysis
Type: OpenClaw Skill
Name: zhao-investment
Version: 1.0.0
The skill bundle provides a structured framework and templates for investment analysis, covering macro-economic, industry, and company-level evaluations. The content in SKILL.md and the reference files (analysis-workflow.md, checklists.md) consists entirely of analytical methodologies, checklists, and reporting templates without any executable code, network requests, or prompt injection attempts designed to exfiltrate data or subvert the agent.
Capability Assessment
Purpose & Capability
The name/description (三维投资分析框架) matches the provided SKILL.md and reference documents: they describe macro/industry/company analysis, checklists, workflows and report templates. The skill does not request unrelated binaries, credentials, or config paths.
Instruction Scope
SKILL.md contains only investment-analysis steps, templates, and workflows. It suggests combining with WebSearch/Stock Analysis/Buffett Analysis (other tools/skills) to fetch up-to-date data, which is appropriate for the purpose. There are no instructions to read arbitrary host files, access system config, or transmit data to unexpected endpoints.
Install Mechanism
This is an instruction-only skill with no install spec and no code files to write or execute on disk, which minimizes installation risk.
Credentials
No required environment variables, credentials, or config paths are declared. The guidance to use external data sources is reasonable for investment analysis, and there is no disproportionate request for secrets or unrelated service keys.
Persistence & Privilege
Skill flags are default (always: false, user-invocable: true, disable-model-invocation: false). Allowing autonomous invocation is platform-default and acceptable here because the skill does not request elevated privileges or persistent credentials.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install zhao-investment - After installation, invoke the skill by name or use
/zhao-investment - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
- 首次发布三维投资分析框架,覆盖宏观、行业、公司三大维度。
- 提供系统性分析流程和操作模板,支持个股、行业、组合等多场景投资决策。
- 包含选股、交易、仓位、风控四大核心体系,以及分层盈利目标和投资者行为要诀。
- 附带可复用的个股分析报告和投资组合诊断报告模板。
- 明确使用情景及工具结合建议,强调独立判断与风险意识。
Metadata
Frequently Asked Questions
What is 赵克常老师SKILL?
三维投资分析框架 - 基于宏观-行业-公司三维认知的投资分析体系。使用场景:(1) 个股深度分析,(2) 投资组合诊断,(3) 行业赛道评估,(4) 宏观经济研判,(5) 交易决策支持。当用户需要进行股票投资分析、构建投资体系、评估标的质地、制定交易策略时触发此skill。 It is an AI Agent Skill for Claude Code / OpenClaw, with 198 downloads so far.
How do I install 赵克常老师SKILL?
Run "/install zhao-investment" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is 赵克常老师SKILL free?
Yes, 赵克常老师SKILL is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does 赵克常老师SKILL support?
赵克常老师SKILL is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created 赵克常老师SKILL?
It is built and maintained by weqwhdiowa (@tingdall); the current version is v1.0.0.
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