us-value-investing-framework

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.

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