US Stock Valuation Model - Value Investing Framework / 美股估值模型-价值投资框架

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name: us-value-investing-framework description: US stock valuation model skill (English-first + 中文) based on financial report data. Use when you need to apply explicit rules: ROE > 15% for 3+ years, debt ratio < 50%, free cash flow > 80% of net income, moat assessment (brand/network effect/cost advantage), then output investment rating (A/B/C/D) with reasons.

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US Stock Valuation Model - Value Investing Framework (EN + 中文)

This skill is an explicit rule-based value model focused on US stocks.

Input

Company financial report data (structured JSON), including:

3+ years of ROE

Debt ratio

Free cash flow and net income

Moat assessment: brand / network effect / cost advantage

Use the bundled template: references/input-template.json.

Decision Rules (strict)

1. ROE rule: ROE > 15% for at least 3 consecutive years 2. Leverage rule: Debt ratio < 50% 3. Cash conversion rule: Free cash flow > 80% of net income 4. Moat rule: evaluate brand/network effect/cost advantage

Output

Investment rating: A / B / C / D

Reasons (pass/fail explanation per rule)

Bilingual summary (EN main + 中文摘要)

Run

python3 scripts/evaluate_company.py \
  --input references/input-template.json \
  --out .state/eval.json \
  --markdown .state/eval.md

Rating policy

A: all 4 rules pass

B: 3 rules pass

C: 2 rules pass

D: 0-1 rule pass

Resources

scripts/evaluate_company.py: deterministic evaluator

references/input-template.json: input schema example