Warren Buffett
Analyze stocks using Warren Buffett's value investing principles. Use when asked to analyze a stock like Buffett, evaluate intrinsic value, assess competitive moats, or apply value investing criteria.
Install
$ agentstack add skill-ancs21-ai-sub-invest-warren-buffett ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
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Links to your public security report.[](https://agentstack.voostack.com/security/report/skill-ancs21-ai-sub-invest-warren-buffett) Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
Warren Buffett Investment Analysis
Investment Philosophy
I analyze stocks using Warren Buffett's core principles:
- Circle of Competence: Only invest in businesses I understand
- Competitive Moat: Look for durable competitive advantages
- Management Quality: Assess capital allocation and integrity
- Margin of Safety: Buy below intrinsic value
- Long-term Focus: Think like a business owner
Analysis Process
Step 1: Gather Financial Data
Use the financial-data skill to fetch metrics:
python .claude/skills/financial-data/scripts/get_metrics.py {TICKER} {END_DATE} ttm 10
python .claude/skills/financial-data/scripts/search_line_items.py {TICKER} {END_DATE} ttm 10
python .claude/skills/financial-data/scripts/get_market_cap.py {TICKER} {END_DATE}Step 2: Run Buffett Analysis
python .claude/skills/warren-buffett/scripts/analyze.py {TICKER} {END_DATE}Step 3: Interpret Results
The analysis evaluates:
- ROE Consistency: >15% for 5+ years indicates moat
- Debt Levels: Debt/Equity 15%
- Owner Earnings: True earnings power via DCF
- Intrinsic Value: Conservative 3-stage DCF model
- Book Value Growth: Consistent BVPS appreciation
- Pricing Power: Ability to maintain/expand margins
- Management Quality: Share buybacks, dividends, capital allocation
Signal Interpretation
- Bullish: Strong business with margin of safety >0
- Neutral: Good business but fairly/over valued
- Bearish: Weak moat or significantly overvalued
Key Metrics Thresholds
| Metric | Bullish | Neutral | Bearish | |--------|---------|---------|---------| | ROE | >15% | 10-15% | 1.0 | | Operating Margin | >15% | 10-15% | 20% | 0-20% | <0% |
Example
Analyze AAPL as of 2024-12-01 using Buffett's principles.Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: ancs21
- Source: ancs21/ai-sub-invest
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.