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Automation
Skill

/derive-consequences

Trace logically valid consequences from an altered premise, provocation, or negated claim.

From plugin
de-anthropocentric-research-engine
499200 skills
Install
$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill derive-consequences --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/derive-consequences

Context preview

The summary Claude sees to decide when to auto-load this skill.

Trace logically valid consequences from an altered premise, provocation, or negated claim.

SKILL.md

derive-consequences.SKILL.md
name: derive-consequences
description: "Trace logically valid consequences from an altered premise, provocation, or negated claim."

derive-consequences

Purpose

Trace valid consequences from an altered premise, provocation, or negated claim.

Input contract

required: [premise_change, base_model, inference_rules]
optional: [time_horizon, boundary_conditions, contradiction_policy]
constraints: [each consequence links to an explicit inference step]

Procedure

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.

Output contract

produces: [consequence_chain, intermediate_steps, contradictions, testable_implications]
delta_fields: [findings, hypothesis_updates, uncertainties]

Quality gates

  • No endpoint is emitted without its intermediate derivation.
  • Premise changes are distinguished from downstream assumptions.
  • Contradictory branches are retained and labeled.

Parameterization

Caller supplies premise schema, model graph, inference calculus, depth limit, and contradiction policy.

Failure and counterexamples

Reject leaps that omit mechanisms, circular derivations, or consequences outside declared scope.

Provenance map

  • concept: stress-test/deductive-chain
  • concept: deep-insight/consequence-following
Read more
Ships withde-anthropocentric-research-engine

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.

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