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shihongbingtouzi
by
97fusky-droid
· GitHub ↗
· v1.0.0
· MIT-0
239
Downloads
0
Stars
1
Active Installs
1
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Install in OpenClaw
/install shihongbingtouzi
Description
时寒冰式多维投资分析模型 - 从宏观、稀缺性、公司质量、时机四个维度分析股票、商品、ETF等投资标的
Usage Guidance
This skill is a coherent, instruction-only template for structured investment research and does not request credentials or install code. Before installing/use: (1) remember it only defines reasoning and output format — it does not fetch live market data by itself, so enable/authorize a trusted WebSearch/WebFetch or provide up-to-date data if you need real-time analysis; (2) treat outputs as research guidance, not trading instructions — independently verify facts against primary sources (company reports, regulators, exchanges); (3) if you are concerned about autonomous invocation, check your platform's skill invocation settings (you can disable autonomous use); (4) note the package metadata lists an unknown owner and a proprietary license—if provenance matters to you, ask the publisher for source/origin before trusting for production use.
Capability Analysis
Type: OpenClaw Skill
Name: shihongbingtouzi
Version: 1.0.0
The skill bundle provides a structured framework for investment analysis based on the 'Shihanbing' model. It consists of Markdown-based instructions and command templates (SKILL.md, invest-analyze.md) that guide the AI agent through macro, scarcity, and micro-level financial evaluations. There is no evidence of malicious code, data exfiltration, or harmful prompt injection; the logic is entirely aligned with its stated purpose of investment research.
Capability Assessment
Purpose & Capability
Name/description (multi-dimensional investment analysis) match the SKILL.md and command files. The skill is purely an output-format and reasoning template; it does not require unrelated credentials, binaries, or system paths.
Instruction Scope
SKILL.md prescribes a detailed, structured analysis flow and fixed output template — all within the domain of investment research. It does not instruct reading files, env vars, or sending data to external endpoints. It does suggest better results if the agent has WebSearch/WebFetch available; that is an optional integration but worth noting because live data access would be needed for up-to-date analysis.
Install Mechanism
No install spec and no code files that execute; the package is instruction-only, so nothing is written to disk or downloaded during install.
Credentials
No required environment variables, credentials, or config paths are declared. The skill does not ask for unrelated secrets or system access.
Persistence & Privilege
always is false and the skill is user-invocable; it does not request permanent/force-loaded presence or to modify other skills. disable-model-invocation is false (normal platform default) — note this means the agent could call the skill autonomously if allowed by the platform, but that is expected behavior.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install shihongbingtouzi - After installation, invoke the skill by name or use
/shihongbingtouzi - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
时寒冰式多维投资分析模型 v1.0.0 — 首发版本
- 全面引入“宏观、稀缺性、公司质量、时机”四维分析框架,适用于股票、商品、ETF等投资对象。
- 以证据链、因果链、风险链为核心思路,强调事实与推理、风险反证和证据优先级。
- 内置统一定量评分体系和仓位建议标准(回避/观察/轻仓/中仓/中高配),杜绝高频投机表述。
- 规定分资产类型的细化流程,增加对单公司、主题商品、ETF、国家配置等多场景适配。
- 输出结构化分析模板,覆盖结论、细分维度分析、评分、风险点、行动建议等全环节。
- 针对信息不全场景给出数据缺失提示和核验建议,确保分析稳健专业。
Metadata
Frequently Asked Questions
What is shihongbingtouzi?
时寒冰式多维投资分析模型 - 从宏观、稀缺性、公司质量、时机四个维度分析股票、商品、ETF等投资标的. It is an AI Agent Skill for Claude Code / OpenClaw, with 239 downloads so far.
How do I install shihongbingtouzi?
Run "/install shihongbingtouzi" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is shihongbingtouzi free?
Yes, shihongbingtouzi is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does shihongbingtouzi support?
shihongbingtouzi is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created shihongbingtouzi?
It is built and maintained by 97fusky-droid (@97fusky-droid); the current version is v1.0.0.
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