alphagbm-buffett-analysis
GitHub基于巴菲特投资框架的股票分析技能,从业务、护城河、管理层和估值四个维度对美股进行评分,输出HOLDABLE/WATCHABLE/AVOID建议。
Trigger Scenarios
Install
npx skills add AlphaGBM/skills --skill alphagbm-buffett-analysis -g -y
SKILL.md
Frontmatter
{
"name": "alphagbm-buffett-analysis",
"globs": [
"mock-data\/buffett-analysis\/**"
],
"description": "Warren Buffett-lens scorecard for any ticker. Scores 4 dimensions 0-100 each\n(business \/ circle of competence, moat \/ durable advantage, management \/ capital\nallocation, valuation \/ fair price vs 10Y treasury) and returns a weighted\noverall HOLDABLE \/ WATCHABLE \/ AVOID verdict. This is NOT a generic fundamental\nscreener — it's Buffett's specific framework mechanically applied: sector\nsimplicity, gross margin + ROE + profit margin thresholds, FCF yield vs treasury,\nand dividend-continuity as management proxy.\nTriggers: \"Buffett analysis AAPL\", \"score KO with Buffett lens\", \"would Buffett\nbuy MSFT\", \"JNJ Buffett scorecard\", \"AAPL moat analysis\", \"fair price vs bonds\",\n\"Buffett-style verdict on NVDA\", \"long-term hold analysis\"\n"
}
AlphaGBM Buffett Analysis
The 4 lenses Buffett himself says he applies, computed from yfinance fundamentals and returned as a single-number verdict plus reasoning for each lens.
The 4 Lenses
- Business (20% weight) — circle of competence. Simple sectors (consumer staples, utilities, industrials) score high. Complex sectors (tech, healthcare, financials) score lower unless mega-cap like AAPL.
- Moat (30% weight) — durable advantage. Gross margin > 40%, ROE > 20%, profit margin > 15%, and market cap > $100B each contribute to the moat score.
- Management (15% weight) — capital allocation proxy via dividend continuity
- payout ratio (15-60% is ideal balance) + 5yr avg div yield.
- Valuation (35% weight) — fair price check. PE < 15 → +20, PEG < 1 → +15, FCF yield > 10Y treasury + 2pp → +20. PE > 40 or PEG > 2.5 → deductions.
Overall Verdict
- ≥ 75 → HOLDABLE (color green) — meets Buffett standards, long-term hold
- 55-74 → WATCHABLE (color amber) — wait for better price or clearer evidence
- < 55 → AVOID (color red) — fails Buffett's standards
Why This Is a Separate Skill
The generic alphagbm-stock-analysis runs a G=B+M style/momentum score. Buffett's
framework is different — it weights moat + valuation much more heavily than
momentum, and penalizes complex businesses regardless of growth. This skill
codifies Buffett's rules, not AlphaGBM's house rules.
How to Use
Input:
ticker(required) — US stock symbol
Output:
scorecard.business:{score, sector, industry, verdict_zh, verdict_en}scorecard.moat:{score, gross_margin, roe, profit_margin, market_cap_b, reasons_zh, reasons_en}scorecard.management:{score, dividend_rate, payout_ratio, reasons_zh, reasons_en}scorecard.valuation:{score, pe, forward_pe, peg, pb, fcf_yield_pct, ten_year_treasury, reasons_zh, reasons_en}scorecard.overall:{score, verdict, verdict_zh, verdict_en, color}
Example Queries
Buffett analysis on KO→ likely HOLDABLE (simple business, strong moat, 30+ year hold by Buffett himself)would Buffett buy NVDA→ likely WATCHABLE or AVOID (complex sector, high valuation)Buffett scorecard JNJ→ likely HOLDABLE (consumer defensive, strong margins, reasonable PE)score AAPL with Buffett lens→ reference Berkshire's own holding for contextapply Buffett's checklist to WMT→ retail-native test case
Mock Data
Mock data in mock-data/buffett-analysis/ — sample for KO (HOLDABLE).
API Endpoint
POST /api/masters/buffett-analyze
Content-Type: application/json
Request body:
{"ticker": "KO"}
Response shape:
{
"success": true,
"ticker": "KO",
"current_price": 63.4,
"scorecard": {
"business": {
"score": 85,
"sector": "Consumer Defensive",
"industry": "Beverages - Non-Alcoholic",
"verdict_zh": "业务相对简单,在巴菲特能力圈范围内",
"verdict_en": "Relatively simple business within Buffett's circle"
},
"moat": {
"score": 100,
"gross_margin": 60.3,
"roe": 41.8,
"profit_margin": 22.4,
"market_cap_b": 273.4,
"reasons_zh": ["毛利率 60.3% > 40%,显示定价权", "ROE 41.8% > 20%,资本效率强", "市值 $273B > $100B,规模壁垒", "净利率 22.4% > 15%,强定价权"],
"reasons_en": ["Gross margin 60.3% > 40% shows pricing power", "ROE 41.8% > 20% — strong capital efficiency", "Market cap $273B > $100B — scale moat", "Net margin 22.4% > 15% — strong pricing power"]
},
"management": {
"score": 80,
"dividend_rate": 1.94,
"payout_ratio": 77.0,
"reasons_zh": ["派息 $1.94 — 体现向股东返现意愿", "5 年平均股息率 3.1%"],
"reasons_en": ["Dividend $1.94 — willingness to return cash", "5-yr avg div yield 3.1%"]
},
"valuation": {
"score": 45,
"pe": 24.8,
"forward_pe": 22.1,
"peg": 3.2,
"pb": 10.5,
"fcf_yield_pct": 3.5,
"ten_year_treasury": 4.3,
"reasons_zh": ["FCF 收益率 3.5% < 10Y 美债 4.3%,不如债券"],
"reasons_en": ["FCF yield 3.5% < 10Y 4.3% — bonds beat it"]
},
"overall": {
"score": 78.3,
"verdict": "HOLDABLE",
"verdict_zh": "符合巴菲特标准 — 值得长期持有",
"verdict_en": "Meets Buffett standards — worth a long-term hold",
"color": "green"
}
},
"timestamp": "2026-04-24T08:00:00"
}
Pricing: 1 stock-analysis credit per call; 30-min cache per ticker (cache hits free).
Related Skills
| Skill | Relevance |
|---|---|
| alphagbm-stock-analysis | House G=B+M model — complementary, different weights |
| alphagbm-company-profile | Deep fundamental profile once Buffett flags HOLDABLE |
| alphagbm-investment-thesis | Turn Buffett verdict into a trackable thesis |
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Version History
- c69fa1b Current 2026-07-05 20:17


