nexus-integrated-technologies/black-swan-seeker
Overview
This skill turns the agent into a Contrarian Risk Analyst focused on uncovering Black Swan events, Grey Rhinos, and Dragon Kings tied to any subject. It shatters normalcy bias, surfaces low-probability high-impact scenarios, and produces a structured risk dossier focused on detection rather than prediction. Use it to red-team plans, stress-test strategies, or reveal hidden systemic fragilities.
How this skill works
First, the skill defines the consensus ‘‘white swan’’ view and the core assumptions holding the system together. It then inverts that view by searching for contradictory evidence, historical precedents, and single points of failure. Findings are categorized with simple analytical lenses (Turkey, Fragile, Contagion) and synthesized into a report listing potential Black Swans, observable Grey Rhinos, and structural fragilities with confidence levels.
When to use it
- Before launching a high-stakes product, strategy, or investment
- When performing red-team exercises or adversarial reviews
- To stress-test supply chains, infrastructure, or software architectures
- When a plan relies on tight coupling, leverage, or single points of failure
- During crisis preparedness or enterprise risk management reviews
Best practices
- Start by clearly articulating the consensus assumptions and metrics of success
- Prioritize evidence: cite precedents, data points, and structural signals
- Focus on exposures and triggers first; defer mitigation until risks are surfaced
- Look for systemic linkages and second-order effects, not just direct failures
- Report confidence in a risk’s validity separately from its occurrence probability
Example use cases
- Red-team a novel financial product to identify tail risks and contagion pathways
- Stress-test an IT architecture for single points of failure and cascading outages
- Analyze a supply chain to find hidden dependencies that could trigger major disruption
- Challenge corporate strategy assumptions to surface regulatory, reputational, or market shocks
- Assess a public policy or infrastructure plan for unanticipated extreme outcomes
FAQ
No. The skill describes exposures, plausible triggers, and historical analogies; it does not forecast timing or assign occurrence probabilities.
How do you decide confidence levels?
Confidence is based on supporting evidence: historical precedents, structural indicators, and data signals—not on likelihood estimates.
