Risk Asymmetry Recognition
CommunityAssess payoff shape, not just averages.
Authorcolinalexander
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill addresses the critical need to evaluate investment opportunities based on the shape of their potential outcomes, ensuring that downside risk is manageable and upside potential is meaningful, rather than relying solely on average return estimates.
Core Features & Use Cases
- Payoff Shape Validation: Evaluates if an opportunity's outcome distribution aligns with long-term compounding and institutional survivability.
- Downside Boundedness Assessment: Determines if losses are naturally capped or structurally constrained.
- Upside Optionality Verification: Assesses if favorable outcomes can compound meaningfully without proportional risk.
- Asymmetry Integrity Test: Ensures perceived asymmetry is real and not based on narrative or misjudged tail risks.
- Use Case: An investment committee can use this skill to vet a new venture, ensuring that even in worst-case scenarios, the firm's capital is protected, while still allowing for significant growth if the venture succeeds.
Quick Start
Use the Risk Asymmetry Recognition skill to assess the downside boundedness of the proposed 'Project Phoenix' investment.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: Risk Asymmetry Recognition Download link: https://github.com/colinalexander/buffet/archive/main.zip#risk-asymmetry-recognition Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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