# Alphagbm Buffett Analysis

> |

- **Type:** Skill
- **Install:** `agentstack add skill-alphagbm-skills-alphagbm-buffett-analysis`
- **Verified:** Yes — security-reviewed for prompt injection and unsafe behavior
- **Seller:** [AlphaGBM](https://agentstack.voostack.com/s/alphagbm)
- **Installs:** 0
- **Category:** [Agent Skills](https://agentstack.voostack.com/c/agent-skills)
- **Latest version:** 0.1.0
- **License:** MIT
- **Upstream author:** [AlphaGBM](https://github.com/AlphaGBM)
- **Source:** https://github.com/AlphaGBM/skills/tree/main/skills/alphagbm-buffett-analysis
- **Website:** https://www.alphagbm.com/skills

## Install

```sh
agentstack add skill-alphagbm-skills-alphagbm-buffett-analysis
```

Requires the [AgentStack CLI](https://agentstack.voostack.com/docs/cli). Works with Claude Code, Cursor, and any MCP-compatible agent.

## About

# 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

1. **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.
2. **Moat (30% weight)** — durable advantage. Gross margin > 40%, ROE > 20%,
   profit margin > 15%, and market cap > $100B each contribute to the moat score.
3. **Management (15% weight)** — capital allocation proxy via dividend continuity
   + payout ratio (15-60% is ideal balance) + 5yr avg div yield.
4. **Valuation (35% weight)** — fair price check. PE  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
- ** 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](../alphagbm-stock-analysis/) | House G=B+M model — complementary, different weights |
| [alphagbm-company-profile](../alphagbm-company-profile/) | Deep fundamental profile once Buffett flags HOLDABLE |
| [alphagbm-investment-thesis](../alphagbm-investment-thesis/) | Turn Buffett verdict into a trackable thesis |

---

*Powered by [AlphaGBM](https://alphagbm.com) — Real-data options & research intelligence. 10K+ users.*

## Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

- **Author:** [AlphaGBM](https://github.com/AlphaGBM)
- **Source:** [AlphaGBM/skills](https://github.com/AlphaGBM/skills)
- **License:** MIT
- **Homepage:** https://www.alphagbm.com/skills

Install and usage instructions live in the source repository linked above.

## Pricing

- **Free** — Free

## Security capabilities

Automated source analysis of v0.1.0 — what this tool can access:

- **Network access:** no
- **Filesystem access:** no
- **Shell / process execution:** no
- **Environment & secrets:** no
- **Dynamic code execution:** no

*"Yes" means the capability is present in the source — more access means more to trust, not that it is unsafe.*


## Versions

- **0.1.0** — security scan: passed — Imported from the upstream source.

## Links

- Listing page: https://agentstack.voostack.com/l/skill-alphagbm-skills-alphagbm-buffett-analysis
- Seller: https://agentstack.voostack.com/s/alphagbm
- Browse the marketplace: https://agentstack.voostack.com/browse

---
Listed on AgentStack — the marketplace for AI agent skills and MCP servers. Every listing is security-reviewed. Creators keep 70%.