Red Team Devils Advocate Assumption Attack Protocol

Cross caller-supplied assumptions with red-team attack modes to generate falsifiable challenge prompts.

Description

An assumption attack protocol prompts reviewers to challenge a scenario in several ways.

An assumption attack protocol prompts reviewers to challenge a scenario in several ways. Pair generation does not itself falsify an assumption.^[1]

The returned values include Assumptions, Attack prompts, Attack prompts. The How section below explains the calculation, input rules and interpretation.

When to use Red Team Devils Advocate Assumption Attack Protocol

Use Red Team Devils Advocate Assumption Attack Protocol when you need to evaluate the supplied records under the calculation and evidence rules below. No evidence is collected and no actual red-team judgment is made.

Define the question, evidence and scenario assumptions first. Supply the chosen score scales, time horizons or reference selection explicitly. Interpret generated text as a discussion template and screen labels as the stated rules.

How to use Red Team Devils Advocate Assumption Attack Protocol and understand its results

Define the question, evidence and scenario assumptions first. Supply the chosen score scales, time horizons or reference selection explicitly. Interpret generated text as a discussion template and screen labels as the stated rules.
Enter assumptions, attackModes using the field table and calculation rules, then run the tool.
Read assumptionCount, attackCount, attackPrompts. The explanation below defines the units, signs, ordering and any flags or placeholder values.
If the tool reports an input issue, correct the values and run it again. Apply the stated assumptions when interpreting a successfully returned result.

Input field	Meaning	Value type; see rules below	Requirement
assumptions	Assumptions	list of string	Required
attackModes	Labels from invert, stress, remove, delegate, preempt, and reframe.	list of string	Required

Trim nonblank nonempty assumptions. Normalize nonempty attack modes to invert/stress/remove/delegate/preempt/reframe. Generate every pair assumption-major then mode order; duplicates remain. Return counts and fixed challenge prompts.

prompts=assumptions×attackModes

Units, indexing, boundary conditions and exceptional cases are defined in the calculation rules above.

Output field	Meaning	Value type
assumptionCount	Assumptions	integer; minimum: 1
attackCount	Attack prompts	integer; minimum: 1
attackPrompts	Attack prompts	list of string

json

{
  "input": {
    "assumptions": [
      "Customers will adopt",
      "Costs will fall"
    ],
    "attackModes": [
      "invert",
      "stress"
    ]
  },
  "output": {
    "assumptionCount": 2,
    "attackCount": 4,
    "attackPrompts": [
      "invert: challenge 'Customers will adopt' and record the evidence that would disprove it.",
      "stress: challenge 'Customers will adopt' and record the evidence that would disprove it.",
      "invert: challenge 'Costs will fall' and record the evidence that would disprove it.",
      "stress: challenge 'Costs will fall' and record the evidence that would disprove it."
    ]
  }
}

Limitations and assumptions

No evidence is collected and no actual red-team judgment is made.

Numeric inputs, where present, must be finite. Follow the calculation-specific rules for overflow, underflow and exceptional cases. Core numeric and string lists are limited to 100,000 entries; text entries are subject to the general large-text limit. Follow any smaller calculation limits above. Missing fields without a declared default, extra fields, wrong value types and violations of the calculation rules are input errors.

Alternative or Complementary methods

Use Assumption Reversal Question Generator: Reversing an assumption can prompt alternative strategies and evidence tests. The template creates questions rather than a logically derived negation. For a complementary task, use Wind Tunnelling Policy Test Scenarios Method: Policy wind tunnelling tests mechanisms under several stressors. A generated question is a test plan rather than a result.

References

Red Team Devils Advocate Assumption Attack Protocol — tool.io

Similar or alternative tools

Assumption Reversal Question Generator
Reversing an assumption can prompt alternative strategies and evidence tests. The template creates questions rather than a logically derived negation.
Wind Tunnelling Policy Test Scenarios Method
Policy wind tunnelling tests mechanisms under several stressors. A generated question is a test plan rather than a result.