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Add four patterns implementing minimal, falsifiable ethical constraints for AGI safety evaluation: - ultimate_law_safety: Evaluate actions against "no unwilling victims" principle - detect_mind_virus: Identify manipulative reasoning that resists correction - check_falsifiability: Verify claims can be tested and proven wrong - extract_ethical_framework: Surface implicit ethics in documents/policies These patterns derive from the Ultimate Law framework (github.com/ghrom/ultimatelaw), which takes a different approach to AI alignment: instead of encoding contested "human values," define the minimal boundary no agent may cross. The core insight: Not "align AI with human values" but "constrain any agent from creating unwilling victims." Framework characteristics: - Minimal: smallest possible constraint set - Logically derivable: not arbitrary cultural preferences - Falsifiable: can be challenged and improved - Agent-agnostic: works for humans, AI, corporations, governments - Computable: precise enough for algorithmic implementation Each pattern includes system.md (prompt) and README.md (documentation).