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Us Stock Value Investing Rules

ASecurity

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

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  • Added September 19, 2026
ai-agentspythongobash

Security analysis

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Pro scans all 2 files and shows the line behind each finding

Scanned September 19, 2026

npx -y skills add rondoflow/rondoflow --skill us-stock-value-investing-rules --agent claude-code

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SKILL.md
---
name: us-stock-value-investing-rules
description: "This skill is an explicit rule-based value model focused on US stocks."
category: "Finance & Crypto"
author: community
version: "1.1.0"
icon: coins
---

# 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

```bash
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

Files in this skill

  • SKILL.md1.4 KB
  • manifest.json297 B

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