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Install in OpenClaw
/install us-value-investing-framework
Description
Structured bilingual framework to evaluate US stocks by quality, moat, management, valuation, and risk for buy/watch/avoid decisions and monitoring.
Usage Guidance
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.
Capability Analysis
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.
Capability Assessment
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.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install us-value-investing-framework - After installation, invoke the skill by name or use
/us-value-investing-framework - Provide required inputs per the skill's parameter spec and get structured output
Version History
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.
Metadata
Frequently Asked Questions
What is US Stock Valuation Model - Value Investing Framework / 美股估值模型-价值投资框架?
Structured bilingual framework to evaluate US stocks by quality, moat, management, valuation, and risk for buy/watch/avoid decisions and monitoring. It is an AI Agent Skill for Claude Code / OpenClaw, with 3328 downloads so far.
How do I install US Stock Valuation Model - Value Investing Framework / 美股估值模型-价值投资框架?
Run "/install us-value-investing-framework" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is US Stock Valuation Model - Value Investing Framework / 美股估值模型-价值投资框架 free?
Yes, US Stock Valuation Model - Value Investing Framework / 美股估值模型-价值投资框架 is completely free (open-source). You can download, install and use it at no cost.
Which platforms does US Stock Valuation Model - Value Investing Framework / 美股估值模型-价值投资框架 support?
US Stock Valuation Model - Value Investing Framework / 美股估值模型-价值投资框架 is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created US Stock Valuation Model - Value Investing Framework / 美股估值模型-价值投资框架?
It is built and maintained by Li Xin (@spyfree); the current version is v1.1.0.
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