IN10 Red Teaming

IN10 Red Teaming

Apply the IN10 Red Teaming transformation to organize adversarial review to find vulnerabilities through simulated attack.

What is IN10?

IN10 (Red Teaming) Organize adversarial review to find vulnerabilities through simulated attack.

When to Use IN10

Ideal Situations

• Stress-test a plan by reversing assumptions
• Identify risks by imagining failure states
• Simplify outcomes by removing unnecessary elements

Trigger Questions

• "How can we use Red Teaming here?"
• "What changes if we apply IN10 to this risk assessment for a launch?"
• "Which assumptions does IN10 help us surface?"

The IN10 Process

Step 1: Define the focus

// Using IN10 (Red Teaming) - Establish the focus
const focus = "Organize adversarial review to find vulnerabilities through simulated attack";

Step 2: Apply the model

// Using IN10 (Red Teaming) - Apply the transformation
const output = applyModel("IN10", focus);

Step 3: Synthesize outcomes

// Using IN10 (Red Teaming) - Capture insights and decisions
const insights = summarize(output);

Practical Example

// Using IN10 (Red Teaming) - Example in a risk assessment for a launch
const result = applyModel("IN10", "Organize adversarial review to find vulnerabilities through simulated attack" );

Integration with Other Transformations

• IN10 -> P1: Pair with P1 when sequencing matters.
• IN10 -> DE3: Use DE3 to validate or stress-test.
• IN10 -> SY8: Apply SY8 to compose the output.

Implementation Checklist

• Identify the context that requires IN10
• Apply the model using explicit IN10 references
• Document assumptions and outputs
• Confirm alignment with stakeholders or owners

Common Pitfalls

• Treating the model as a checklist instead of a lens
• Skipping documentation of assumptions or rationale
• Over-applying the model without validating impact

Best Practices

• Use explicit IN10 references in comments and docs
• Keep the output focused and actionable
• Combine with adjacent transformations when needed

Measurement and Success

• Clearer decisions and fewer unresolved assumptions
• Faster alignment across stakeholders
• Reusable artifacts for future iterations

Installation and Usage

Nix Installation

{
  programs.moltbot.plugins = [
    { source = "github:hummbl-dev/​hummbl-agent?dir=skills/​IN-inversion/​in10-red-teaming"; }
  ];
}

Manual Installation

moltbot-registry install hummbl-agent/​in10-red-teaming

Usage with Commands

/​apply-transformation IN10 "Organize adversarial review to find vulnerabilities through simulated attack"

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Apply IN10 to create repeatable, explicit mental model reasoning.