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在 OpenClaw 中安装
/install us-value-investing-framework
功能描述
Structured bilingual framework to evaluate US stocks by quality, moat, management, valuation, and risk for buy/watch/avoid decisions and monitoring.
安全使用建议
Install only if you want a local rule-based stock evaluation template. Review the financial input data and output paths before running it, and treat generated ratings as analytical support rather than financial advice.
功能分析
Type: OpenClaw Skill
Name: us-value-investing-framework
Version: 1.1.0
The skill bundle is benign. The `SKILL.md` clearly defines the purpose of a US stock valuation model and provides a `run` command that executes a local Python script (`scripts/evaluate_company.py`) with local input and output files. The Python script performs purely computational tasks based on the provided JSON input, writing results to specified local JSON and Markdown files. There are no signs of data exfiltration, malicious execution, persistence mechanisms, obfuscation, or prompt injection attempts against the agent. All file operations are local and aligned with the stated purpose of processing financial data.
能力评估
Purpose & Capability
The stated purpose, guide, template, and script all align around a rule-based US stock valuation workflow that produces A/B/C/D ratings and bilingual explanations.
Instruction Scope
Runtime instructions are narrow and disclosed: apply explicit financial rules to structured company data; no prompt overrides, hidden directives, or unrelated agent behaviors were found.
Install Mechanism
The skill includes a user-run local Python script using only standard-library JSON and pathlib operations; no package installation or remote fetch is required.
Credentials
The script reads the specified input file and writes specified JSON/Markdown outputs; there are no network calls, credential access, environment scraping, shell execution, or privileged path use.
Persistence & Privilege
Persistence is limited to creating requested output files and parent directories; there is no background process, autostart, privilege escalation, destructive action, or broad indexing.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install us-value-investing-framework - 安装完成后，直接呼叫该 Skill 的名称或使用
/us-value-investing-framework触发 - 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
v1.1.0
Align with strict user-defined rules: ROE>15% for 3+ years, debt ratio<50%, FCF>80% NI, moat evaluation. Output rating A/B/C/D with reasons (EN+中文).
v1.0.0
Initial release: EN-first bilingual framework with expanded scoring model, risk controls, and evaluator script.
元数据
常见问题
US Stock Valuation Model - Value Investing Framework / 美股估值模型-价值投资框架 是什么？
Structured bilingual framework to evaluate US stocks by quality, moat, management, valuation, and risk for buy/watch/avoid decisions and monitoring. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 3328 次。
如何安装 US Stock Valuation Model - Value Investing Framework / 美股估值模型-价值投资框架？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install us-value-investing-framework」即可一键安装，无需额外配置。
US Stock Valuation Model - Value Investing Framework / 美股估值模型-价值投资框架 是免费的吗？
是的，US Stock Valuation Model - Value Investing Framework / 美股估值模型-价值投资框架 完全免费（开源免费），可自由下载、安装和使用。
US Stock Valuation Model - Value Investing Framework / 美股估值模型-价值投资框架 支持哪些平台？
US Stock Valuation Model - Value Investing Framework / 美股估值模型-价值投资框架 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 US Stock Valuation Model - Value Investing Framework / 美股估值模型-价值投资框架？
由 Li Xin（@spyfree）开发并维护，当前版本 v1.1.0。
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