Investment Risk Scanner (Buffett + Porter Framework)
by @gold3bear
Investment risk scanner using Buffett + Porter's Five Forces framework. Triggers when users ask "analyze XXX's risk", "is this project legit", "can I buy thi...
clawhub install investment-risk-scanner📖 About This Skill
name: investment-risk-scanner description: > Investment risk scanner using Buffett + Porter's Five Forces framework. Triggers when users ask "analyze XXX's risk", "is this project legit", "can I buy this stock", "Buffett framework check", "is this business model sustainable", "Ponzi", "subsidy dependent", "loss making", "valuation". 5-layer Buffett framework + Porter's Five Forces as complementary check. Built-in cases: Qutoutiao, StepN, WeWork, Quibi, Tesla, NVDA, PLTR, COIN, AMC, RIVN, BYD, Geely. Key addition: Supply Chain Finance risks (迪链-type tools), Hidden liabilities, OCF quality analysis.
🎯 Investment Risk Scanner — Buffett + Porter Framework
Core Question
"What happens if the subsidies stop?" + "Where does the OCF actually come from?"
⚠️ CRITICAL: OCF Source Quality Analysis
New mandatory check — Never look at OCF in isolation!
OCF Quality Matrix
| OCF Source | Quality | Example | |------------|---------|---------| | Real product/service sales | ✅ Clean | Apple iPhone sales | | From supplier financing (欠供应商钱) | ⚠️ Dirty | 迪链模式 ⚠️ | | From customer advance payments | ⚠️ Dirty | 预售模式 | | From regulatory subsidies | ⚠️ Conditional | EV补贴 | | From working capital manipulation | 🚨 Dangerous | 延付供应商+提前收客户 |
The 迪链 Lesson (BYD case):
BYD OCF = ¥593亿 → Looks great!
BUT: ¥4000亿+ 迪链规模 = OCF partially from supplier financing
Real business OCF ≈ ¥593亿 - 供应商资金占用 ≈ ？
Part 1: Five-Layer Buffett Framework
Layer 1: Business Model
| Check | Pass ✅ | Danger 🚨 | |-------|---------|-----------| | Subsidy test | Users stay without incentive | 🚨 No (Qutoutiao/StepN) | | Moat describable? | Clear description | 🚨 Vague | | Competitor replication time | >3 years | 🚨 Cloneable anytime | | DCF/Owner Earnings | Positive or estimable | ⚠️ Unclear |
Layer 2: Unit Economics
| Check | Formula | Danger Signal | |-------|---------|--------------| | User value | Ad revenue > incentive cost? | Qutoutiao style 🚨 | | Token value | Real cash flow support? | StepN style 🚨 | | Lending model | Rate > cost + defaults? | P2P style 🚨 | | Gross margin | >15% (industrial) | Below = weak ⚠️ | | Revenue vs FCF quality | Is growth funded by real economics? | ⚠️ |
Layer 3: Management
| Check | Pass ✅ | Danger 🚨 | |-------|---------|-----------| | Skin in Game | Major personal stake | 🚨 Barely holds shares | | Track record | Delivers on promises | 🚨 Misses commitments | | Narrative | Talks about moat | 🚨 Only talks about growth | | Incentives | Aligned with shareholders | 🚨 Misaligned | | Supplier relations | Treats suppliers fairly | 🚨 Exploits suppliers |
Quantitative: Founder/stakeholder ownership >20% = strong signal ✅
Layer 4: Valuation & Margin of Safety
| Check | Pass ✅ | Danger 🚨 | |-------|---------|-----------| | DCF estimable? | Reasonable assumptions | 🚨 Pure speculation | | Margin of safety? | >30% | 🚨 Zero margin | | Sustainable growth? | <3% | �️ 5%+ unrealistic | | Growth quality? | Organic | 🚨 Fundraising-dependent |
Quantitative Thresholds:
| Metric | Safe ✅ | Warning ⚠️ | Danger 🚨 | |--------|---------|------------|--------| | Forward P/E | <20x | 20-40x | >40x | | PEG Ratio | <1.0 | 1.0-2.0 | >2.0 | | P/S | <2x | 2-5x | >5x | | P/B | <3x | 3-8x | >8x | | FCF | Positive | Breakeven | Persistent negative | | ROE | >15% | 8-15% | <8% | | Net Margin | >10% | 3-10% | <3% | | Debt/Equity | <30% | 30-60% | >60% |
Layer 5: Structural Risk
| Check | Red Flag 🚩 | |-------|-------------| | Liquidity | Runway <12 months | | Regulation | Depends on regulatory arbitrage | | Technology | Single-tech dependency | | Competition | Rapidly disrupting industry | | Geopolitics | Major market concentration | | Supply Chain Finance | Relies on supplier financing (迪链-type) 🚨 |
Part 2: Porter's Five Forces (Complementary Framework)
Why add Porter's Five Forces?
Buffett's blind spot: He focuses on "Is this a good business?" but misses "How does industry structure determine profitability?"
The 迪链 lesson: BYD looked great by Buffett metrics (OCF ¥593B, PE 19.7x) but Porter's Five Forces would immediately ask: > "Why can BYD extract ¥4000B+ from suppliers?" → Supplier power is weak → Unstable moat
The Five Forces
New Entrants
↓
┌───────────────────────────┐
│ Industry Competition │
│ (Price War = High) │
└───────────────────────────┘
↑ ↑
Suppliers ← → Buyers
(Weak = Good) (Competitive = Bad)
Force 1: Bargaining Power of Suppliers
| Supplier Power | Implication | Example | |----------------|-------------|---------| | Weak (fragmented) | Company can extract value | BYD vs small suppliers ✅ | | Strong (concentrated) | Suppliers capture value | Rare earth miners 🚨 | | Danger Pattern | Company survives by squeezing suppliers | 迪链模式 ⚠️ |
Critical Check: *If a company's "moat" is based on supplier exploitation, how sustainable is it?*
Force 2: Bargaining Power of Buyers
| Buyer Power | Implication | Example | |-------------|-------------|---------| | Weak (fragmented) | Company sets prices | Apple App Store ✅ | | Strong (concentrated) | Buyers extract value | Car dealers vs OEMs ⚠️ | | In EV market | Price war = buyer power HIGH | Bad for all EV makers ⚠️ |
Force 3: Competitive Rivalry
| Competition Level | Signal | Example | |-----------------|--------|---------| | Low | Moat is real | Apple's ecosystem ✅ | | High (price war) | Commodity trap | China EV market 🚨 | | Price War = Maturity Stage | Buffett: "bad industry" | EV 2024-2026 ⚠️ |
Force 4: Threat of New Entrants
| Barrier to Entry | Pass | Fail | |-----------------|------|------| | Capital requirements | High barrier ✅ | Low barrier 🚨 | | Network effects | Strong barrier ✅ | No barrier 🚨 | | Regulatory barriers | Protects incumbent ✅ | Open competition 🚨 |
Force 5: Threat of Substitutes
| Substitute Risk | Example | |-----------------|---------| | Low | iPhone → App Store ecosystem ✅ | | High | Fuel car → EV ⚠️ | | Very High | Physical retail → E-commerce 🚨 |
Part 3: Supply Chain Finance Risk (迪链-Type)
🚨 New Mandatory Check
Ask this for every company:
| Check | Question | Danger Signal | |-------|----------|--------------| | Supply chain financing | Does company use supplier financing tools? | 迪链/商票模式 ⚠️ | | Scale | How large is supply chain finance? | >20% of OCF 🚨 | | Supplier dependency | Are suppliers highly dependent on this company? | Yes = systemic risk ⚠️ | | What-if scenario | What if sales drop 30%? Can suppliers survive? | Supplier collapse = company risk ⚠️ |
The 迪链 Pattern (Case Study)
Company Profile:
OCF: ¥593B positive ✅
Apparent debt: ¥277B (5% of liabilities) ✅
Reality: ¥4000B+ 迪链 (supply chain financing) ⚠️
Real net debt: ¥3230B (vs reported ¥277B) 🚨 Key Insight:
OCF ¥593B ≠ "Great business"
OCF ¥593B = "Real business ¥593B" + "Supplier financing ¥???B"
Danger: If monthly sales drop below threshold (BYD: ~150k/month),
suppliers face cash crunch → systemic redemption crisis
Red Flags for Supply Chain Finance
| Flag | What It Means | |------|--------------| | Company brags about "zero-interest supplier financing" | They're extracting from suppliers ⚠️ | | Supplier Average Payment Period > 180 days | Likely using supply chain finance ⚠️ | | Reported debt low but company dominates suppliers | Hidden leverage ⚠️ | | Industry has "dominant player" + weak suppliers | Systemic risk if dominant player stumbles ⚠️ |
Part 4: Hidden Liabilities Checklist
🚨 New Section — Always Check These
| Hidden Liability | How to Detect | Risk Level | |----------------|---------------|-----------| | Supply chain financing (迪链) | Notes payable + accounts payable days | 🚨 High | | Operating lease obligations | Off-balance sheet leases | ⚠️ Medium | | Product warranties/recalls | Accumulated warranty reserves | ⚠️ Medium | | Environmental remediation | EPA-type obligations | ⚠️ Medium | | Pension underfunding | Pension assets vs liabilities | ⚠️ Medium | | Related party guarantees | Guarantees on affiliate debt | 🚨 High | | Sales-type leasing (dealer inventory) | Auto manufacturers special | 🚨 High |
Formula for Real Net Debt:
Real Net Debt = Reported Net Debt
+ Supply Chain Finance (迪链-type)
+ Operating Lease PV
+ Pension Underfunding
+ Related Party Guarantees
- Excess Cash above operational needs
Part 5: Industry Lifecycle Check
Which Stage Is This Industry In?
| Stage | Characteristics | Investment Implication | |-------|----------------|----------------------| | Introduction | High growth, unproven model | High risk, high reward | | Growth | Revenue growing 20%+, competition emerging | Buy if moat forming | | Mature | Growth <10%, price war begins | ⚠️ Buffett: "bad industry" | | Decline | Revenue shrinking, overcapacity | 🚨 Avoid |
The Price War Signal:
Mature/Decline Indicators:
Industry-wide price cuts
"Winner takes all" narrative
Capacity expansion despite declining margins
Weak players not exiting
→ Buffett 1977: "In bad industries, even brilliant management fails"
Updated Case Library
| Project | Type | Conclusion | |---------|------|-----------| | Qutoutiao | Ponzi-lite | 🚨 Avoid — no moat, DCF always negative | | StepN | Ponzi-lite | 🚨 Avoid — token has no cash flow, Ponzi structure | | WeWork | Turnaround trap | 🚨 Avoid — no moat, management failure | | Quibi | Concept failure | 🚨 Avoid — no user stickiness, unit economics collapsed | | AMC | Meme-stock Ponzi | 🚨 Avoid — dilution machine, bankruptcy risk | | RIVN | EV price war victim | 🚨 Avoid — burning cash, no clear path to profit | | COIN | Crypto policy bet | 🚨 High Risk — regulatory uncertainty is existential | | TSLA | Dream stock | 🚨 High Risk — PE 341, Elon Musk concentration risk | | PLTR | Government dependency | ⚠️ Watch — AIP promising but PE 500+ is rich | | NVDA | AI infrastructure moat | ⚠️ Watch — real moat but fully priced in | | BYD | EV with hidden supply chain risk | 🚨 Watch — PE 19.7x cheap BUT ¥4000B+ 迪链 ⚠️⚠️ | | Geely | Cheap EV, strong founder | ⚠️ Watch — PE 11x extremely cheap, FCF positive |
BYD Analysis (Updated with 迪链 Finding)
Updated structural risk: 🔴 Extremely High (was "High")
| Risk | Level | Note | |------|-------|------| | 迪链 Supply Chain Finance | 🚨 ¥4000B+ hidden | Real net debt ¥3230B vs reported ¥277B | | Price War | 🚨 Extreme | China EV = mature stage, price war | | Geopolitical | 🚨 High | US 100% tariff, EU tariffs | | OCF Quality | ⚠️ Mixed | Real ¥593B + supplier financing | | Moat Sustainability | ⚠️ Uncertain | Moat based partly on supplier extraction |
New Conclusion: ⚠️ Watch — But with much higher risk than surface metrics show
Output Format Template (Updated)
## 🎯 [Name] Risk Assessment📋 Inspection Results
| Dimension | Result | Note |
|-----------|--------|------|
| Business Model | ✅/⚠️/🚨 | [One sentence] |
| Unit Economics | ✅/⚠️/🚨 | [One sentence] |
| Management | ✅/⚠️/🚨 | [One sentence] |
| Valuation | ✅/⚠️/🚨 | [One sentence] |
| Structural Risk | Low/Med/High/🔴 Extreme | [Key risks] |🔍 OCF Quality Analysis [NEW]
| OCF Component | Amount | Quality |
|---------------|--------|---------|
| Real business OCF | ¥XXX | ✅ Clean |
| Supplier financing | ¥XXX | ⚠️ Dirty |
| Customer advances | ¥XXX | ⚠️ Conditional |
| Total Reported OCF | ¥XXX | [Mix assessment] |⚠️ Porter's Five Forces Summary
| Force | Level | Implication |
|-------|-------|-------------|
| Supplier Power | Strong/Weak | [Note] |
| Buyer Power | Strong/Weak | [Note] |
| Competitive Rivalry | High/Med/Low | [Note] |
| New Entrant Threat | High/Med/Low | [Note] |
| Substitute Threat | High/Med/Low | [Note] |⚠️ Key Risks
1. [Most serious risk — include hidden liabilities if found]
2. [Secondary risk]
3. [Other observations]✅ Potential Upsides
1. [If any]
2. [If any]📊 Quantitative Scorecard
| Metric | Value | Signal |
|--------|-------|--------|
| Forward P/E | xxx | ✅/⚠️/🚨 |
| PEG | xxx | ✅/⚠️/🚨 |
| ROE | xxx | ✅/⚠️/🚨 |
| FCF | xxx | ✅/⚠️/🚨 |
| Real Net Debt | xxx (vs reported yyy) | ⚠️ Hidden risk |
| Debt/Equity | xxx | ✅/⚠️/🚨 |📌 Framework Quotes
> "[Relevant Buffett quote]"
> "[Relevant Porter insight]"
Overall: □ Investable □ Watch □ Avoid
Cross-Stock Comparison Template (Updated)
| Metric | [Stock A] | [Stock B] | Winner |
|--------|-----------|-----------|--------|
| Market Cap | $X | $Y | [A/B] |
| Forward P/E | Xx | Yx | ✅ Cheaper |
| Real Net Debt | ¥X (rep ¥Y) | ¥X (rep ¥Y) | ⚠️ Hidden risk |
| OCF Quality | Clean/Mixed/Dirty | Clean/Mixed/Dirty | ✅ Cleaner |
| ROE | X% | Y% | ✅ Higher |
| Net Margin | X% | Y% | ✅ Higher |
| FCF | $X | $Y | ✅ Better |
| Debt/Equity | X% | Y% | ✅ Lower risk |
| Supplier Power Dependency | High/Med/Low | High/Med/Low | ⚠️ Risk |
| Founder Ownership | X% | Y% | ✅ Stronger |
| Moat Depth | Strong/Med/Weak | ... | ... |
| Price War Resilience | Strong/Med/Weak | ... | ... |
| Industry Lifecycle | Intro/Growth/Mature/Decline | ... | ... |Overall: □ [A] □ [B] □ Tie
Quantitative Decision Matrix
When scoring, use 1-5 stars:
| Score | Meaning | Action | |-------|---------|--------| | ⭐⭐⭐⭐⭐ (5) | Exceptional — rare opportunity | Strong buy | | ⭐⭐⭐⭐ (4) | Good — meets all criteria | Buy on dips | | ⭐⭐⭐ (3) | Average — mixed signals | Watch only | | ⭐⭐ (2) | Below average — multiple concerns | Avoid or sell | | ⭐ (1) | Poor — fails most tests | Avoid |
Final Score = Average of 5 layers Penalty: If hidden liabilities >50% of reported → automatic downgrade 1 star
Key Lessons from Recent Cases
The 迪链 Lesson (BYD)
What we missed: OCF ¥593B looked great, but didn't ask "HOW?"
Buffett asks: "Is this a good business?"
Porter asks: "Why can this company extract ¥4000B from suppliers?"
Answer: Because suppliers are weak → Not a sustainable moat
New rule: Always ask "Where does the OCF actually come from?"
The Correct Process
1. Buffett Layer 1-5: Check business quality
2. OCF Quality Check: Is OCF from real business or financing?
3. Porter Five Forces: Why does industry structure allow this?
4. Hidden Liabilities: What's NOT on the balance sheet?
5. Industry Lifecycle: Is this a price war (mature) industry?