abstract-structure
Remove domain surface details to expose transferable relational/mechanistic structure at a chosen abstraction level.
Trace logically valid consequences from an altered premise, provocation, or negated claim.
$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill derive-consequences --agent claude-codeHow it fires
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Trace logically valid consequences from an altered premise, provocation, or negated claim.
name: derive-consequences description: "Trace logically valid consequences from an altered premise, provocation, or negated claim."
Trace valid consequences from an altered premise, provocation, or negated claim.
required: [premise_change, base_model, inference_rules] optional: [time_horizon, boundary_conditions, contradiction_policy] constraints: [each consequence links to an explicit inference step]
1. State the altered premise and preserve unaffected assumptions. 2. Apply inference rules stepwise, recording intermediates and branches. 3. Mark contradictions, uncertainty, and boundary violations. 4. Return consequences with dependency paths and testable implications.
produces: [consequence_chain, intermediate_steps, contradictions, testable_implications] delta_fields: [findings, hypothesis_updates, uncertainties]
Caller supplies premise schema, model graph, inference calculus, depth limit, and contradiction policy.
Reject leaps that omit mechanisms, circular derivations, or consequences outside declared scope.
The complete research orchestration system for AI-native science. What It Does Design Philosophy Architecture (v3.2.2) Quick Start Configuration Roadmap License DARE is not a tool that helps you do research. It is the researcher.
Repo: yogsoth-ai/de-anthropocentric-research-engine
Remove domain surface details to expose transferable relational/mechanistic structure at a chosen abstraction level.
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