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/bridge-validation

Validate analogy depth and transfer viability. Ensures only deep structural

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de-anthropocentric-research-engine
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$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill bridge-validation --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/bridge-validation

Context preview

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

Validate analogy depth and transfer viability. Ensures only deep structural

SKILL.md

bridge-validation.SKILL.md
name: bridge-validation
description: Validate analogy depth and transfer viability. Ensures only deep structural
  analogies (not surface-level similarities) proceed to transfer.
execution: tactic
dependencies:
  sops:
  - analogy-quality-assessment
  - structural-mapping
  - transfer-adaptation

Bridge Validation

Validate analogy depth and transfer viability before committing resources to transfer.

Stages

Stage 1: Analogy Quality Assessment

Apply analogy-quality-assessment SOP to each candidate analogy. Classify depth:

  • **Surface**: Shared object attributes only (e.g., "both are round") — REJECT
  • **Structural**: Shared relational structure (e.g., "both use negative feedback to maintain homeostasis") — ACCEPT
  • **Systemic**: Shared higher-order constraints and causal structure — STRONG ACCEPT

Stage 2: Transfer Adaptation

For accepted analogies, test transfer viability using transfer-adaptation SOP:

  • Can the principle be stated independently of source domain?
  • Does the target domain have the necessary substrate for the principle?
  • What adaptations are needed to fit target constraints?

Stage 3: Structural Consistency Check

Verify the adapted transfer maintains structural consistency:

  • Mapped relations preserve directionality
  • Higher-order constraints are respected
  • No critical source elements are unmapped without justification
  • The transfer does not violate known target domain physics/logic

Minimum Yield

| Metric | Floor | |--------|-------| | Analogies assessed | all candidates | | Validated deep analogies | ≥2 | | Transfer viability confirmed | ≥2 | | Structural consistency verified | ≥2 |

Available SOPs

| SOP | Role | |-----|------| | analogy-quality-assessment | Stage 1 — classify analogy depth | | transfer-adaptation | Stage 2 — test and adapt transfer | | structural-mapping | Stage 3 — verify structural consistency | | abstraction-extraction | Support — re-abstract if mapping fails |

<!-- BEGIN available-tables (generated) -->

Available SOPs

Optional, no fixed order; the final leaf is always a sop.

| SOP | When to use | | --- | --- | | analogy-quality-assessment | Assess analogy depth (surface/structural/systemic). Determines whether an analogy warrants transfer investment. | | structural-mapping | Map source→target structural correspondences. Identifies corresponding, missing, and extra elements between domains. | | transfer-adaptation | Adapt transferred principle to target problem constraints. Produces concrete adapted solutions from abstract principles. |

<!-- END available-tables (generated) -->

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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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