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shihongbingtouzi

作者 97fusky-droid · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ 安全检测通过
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当前安装
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版本数
在 OpenClaw 中安装
/install shihongbingtouzi
功能描述
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
安全使用建议
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.
功能分析
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.
能力评估
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.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install shihongbingtouzi
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /shihongbingtouzi 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
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。
元数据
Slug shihongbingtouzi
版本 1.0.0
许可证 MIT-0
累计安装 1
当前安装数 1
历史版本数 1
常见问题

shihongbingtouzi 是什么?

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. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 239 次。

如何安装 shihongbingtouzi?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install shihongbingtouzi」即可一键安装,无需额外配置。

shihongbingtouzi 是免费的吗?

是的,shihongbingtouzi 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

shihongbingtouzi 支持哪些平台?

shihongbingtouzi 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 shihongbingtouzi?

由 97fusky-droid(@97fusky-droid)开发并维护,当前版本 v1.0.0。

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