SKILL

okhp3-attack-economics

Measure the economic sustainability of defensive controls against distributed agentic threats. Use when comparing attack effort, defensive effort, expected loss, and recovery cost. Do not invent attacker costs or make budget decisions without supplied data.

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Excerpt from the author’s documentation

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Topics in the source

  • okhp3-attack-economics
  • Outcome
  • Scope
  • Inputs
  • Procedure
  • Validation loop
  • Safety and failure boundaries
  • Output contract

OverKill Hill P³ · overkillhill.com · github.com/OKHP3 Provide a transparent, sensitivity-tested cost model for proportional defense. Work only with the approved evidence, environment, and decision boundary named in the inputs. This package produces analytical or lab evidence; it does not grant authority, expand scope, or prove live-system security. Measured labor and service costs, incident records, asset value bands, control evidence, assumptions, and uncertainty ranges. 1. Confirm scope, authority, owner, evidence status, and stop conditions. 2. Define unit, period, and cost categories 3. separate observations from estimates 3. model loss, response, recovery, and control costs 3. run sensitivity analysis 3. state decision limits. Compare the result with the stated scope, expected output, and evidence tier. Reconcile contradictions, missing prerequisites, and benign explanations before a conclusion. Record the reviewer, timestamp, limitations, and next authorized action; return blocked or defer-for-evidence when needed. Measure the economic sustainability of defensive controls against distributed agentic threats. Use when comparing attack effort, defensive effort, expected loss,

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Source repository
OKHP3/skillz
Source file
red-teaming/okhp3-attack-economics/SKILL.md
Fixed revision
7b187777d42ab7bc7bab1e5f2c940cd3139ecebf
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Author: OKHP3/skillz · original repository metadata. Documentation review: Not reviewed. Last source check: 2026-11-10T10:00:55.446Z.

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