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    "name": "US Stock Valuation Model - Value Investing Framework / 美股估值模型-价值投资框架",
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    "sections": [
      {
        "title": "US Stock Valuation Model - Value Investing Framework (EN + 中文)",
        "body": "This skill is an explicit rule-based value model focused on US stocks."
      },
      {
        "title": "Input",
        "body": "Company financial report data (structured JSON), including:\n\n3+ years of ROE\nDebt ratio\nFree cash flow and net income\nMoat assessment: brand / network effect / cost advantage\n\nUse the bundled template: references/input-template.json."
      },
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        "body": "ROE rule: ROE > 15% for at least 3 consecutive years\nLeverage rule: Debt ratio < 50%\nCash conversion rule: Free cash flow > 80% of net income\nMoat rule: evaluate brand/network effect/cost advantage"
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      {
        "title": "Output",
        "body": "Investment rating: A / B / C / D\nReasons (pass/fail explanation per rule)\nBilingual summary (EN main + 中文摘要)"
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        "title": "Rating policy",
        "body": "A: all 4 rules pass\nB: 3 rules pass\nC: 2 rules pass\nD: 0-1 rule pass"
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        "body": "scripts/evaluate_company.py: deterministic evaluator\nreferences/input-template.json: input schema example"
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    "body": "US Stock Valuation Model - Value Investing Framework (EN + 中文)\n\nThis skill is an explicit rule-based value model focused on US stocks.\n\nInput\n\nCompany financial report data (structured JSON), including:\n\n3+ years of ROE\nDebt ratio\nFree cash flow and net income\nMoat assessment: brand / network effect / cost advantage\n\nUse the bundled template: references/input-template.json.\n\nDecision Rules (strict)\nROE rule: ROE > 15% for at least 3 consecutive years\nLeverage rule: Debt ratio < 50%\nCash conversion rule: Free cash flow > 80% of net income\nMoat rule: evaluate brand/network effect/cost advantage\nOutput\nInvestment rating: A / B / C / D\nReasons (pass/fail explanation per rule)\nBilingual summary (EN main + 中文摘要)\nRun\npython3 scripts/evaluate_company.py \\\n  --input references/input-template.json \\\n  --out .state/eval.json \\\n  --markdown .state/eval.md\n\nRating policy\nA: all 4 rules pass\nB: 3 rules pass\nC: 2 rules pass\nD: 0-1 rule pass\nResources\nscripts/evaluate_company.py: deterministic evaluator\nreferences/input-template.json: input schema example"
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    "provenanceUrl": "https://clawhub.ai/spyfree/us-value-investing-framework",
    "publisherUrl": "https://clawhub.ai/spyfree/us-value-investing-framework",
    "owner": "spyfree",
    "version": "1.1.0",
    "license": null,
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