Agent skill

risk_asymmetry_recognition

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npx add-skill https://github.com/colinalexander/buffet/tree/main/skills/risk_asymmetry_recognition

SKILL.md

SKILL: Risk Asymmetry Recognition

Summary

Risk Asymmetry Recognition is the skill of evaluating the shape of potential outcomes rather than their averages. It focuses on identifying situations where downside is limited and survivable while upside remains meaningful, and avoiding situations where losses are open-ended or irreversible.

This skill treats payoff shape—not volatility—as the core expression of risk.


Judgment Role

This skill functions as a payoff-shape validator.

It determines whether an opportunity’s outcome distribution is compatible with long-term compounding and institutional survivability, independent of expected return estimates.


Judgment Checkpoints

Checkpoint 1: Downside Boundedness Assessment

Purpose:
Determine whether losses are naturally capped or structurally constrained.

Key Questions:

  • What is the worst plausible outcome?
  • Is loss magnitude bounded or unbounded?
  • What mechanisms enforce limits on loss?

Required Evidence / Inputs:

  • Balance sheet resilience analysis
  • Contractual, regulatory, or structural protections

Expected Outputs:

  • Judgment Record describing downside boundaries

Failure Modes Guarded Against:

  • Hidden leverage
  • Unrecognized tail exposure

Escalation Criteria:

  • Downside is open-ended or poorly bounded

Checkpoint 2: Upside Optionality Verification

Purpose:
Assess whether favorable outcomes can compound meaningfully without proportional risk.

Key Questions:

  • What must go right for upside to occur?
  • Is upside scalable or capped?
  • Does upside require continued perfection?

Required Evidence / Inputs:

  • Growth and reinvestment pathways
  • Historical evidence of optionality

Expected Outputs:

  • Judgment Record describing upside drivers

Failure Modes Guarded Against:

  • Overstated optionality
  • Asymmetric optimism

Escalation Criteria:

  • Upside depends on narrow or fragile conditions

Checkpoint 3: Asymmetry Integrity Test

Purpose:
Ensure perceived asymmetry is real, not narrative-driven.

Key Questions:

  • Are downside and upside evaluated on comparable footing?
  • Are low-probability losses being discounted improperly?
  • Is asymmetry structural or situational?

Required Evidence / Inputs:

  • Side-by-side downside and upside narratives
  • Stress scenario evaluation

Expected Outputs:

  • Judgment Record affirming or rejecting asymmetry

Failure Modes Guarded Against:

  • Ignoring tail risks
  • Mislabeling volatility as asymmetry

Escalation Criteria:

  • Asymmetry collapses under modest stress assumptions

Authority Boundaries

  • Humans: Full authority to assess and approve.
  • Models: Advisory only; may enumerate scenarios and distributions.
  • Prohibited: Models may not approve asymmetry independently.

This skill may veto opportunities regardless of valuation attractiveness.


Time Horizon

  • Primary horizon: Entire holding period
  • Secondary horizon: Stress and crisis environments

Asymmetry should improve—not deteriorate—over time.


Interaction With Other Skills

Upstream (inputs from):

  • margin_of_safety_enforcement
  • intrinsic_value_estimation

Downstream (feeds into):

  • permanent_capital_loss_avoidance
  • patience_as_active_strategy
  • scale_aware_decision_making

Auditability & Records

  • Payoff shape narratives recorded
  • Stress assumptions documented
  • Revisited after major structural changes
  • Records retained permanently

Common Misuse Patterns

  • Equating high upside with asymmetry
  • Ignoring correlation and systemic risk
  • Treating models as sufficient proof of bounded loss

Versioning

  • Skill version: 1.0
  • Last reviewed: 2026-01-09
  • Change notes: Initial canonical definition

Notes

True asymmetry survives pessimism. If upside vanishes when assumptions are tightened, it was never asymmetric.

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