/bridge-validation
Validate analogy depth and transfer viability. Ensures only deep structural
$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill bridge-validation --agent claude-codeHow it fires
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/bridge-validation
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Validate analogy depth and transfer viability. Ensures only deep structural
SKILL.md
bridge-validation.SKILL.mdname: 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) -->
Read more
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) -->
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
Other skills on de-anthropocentric-research-engine.
- /formated-results
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Open skill - /formated-specs
Spec-slot skill for the research-executor. Emit the 4-layer DARE orchestration of the assigned topic as one research-graph JSON fenced block in your reply. Replaces the generic spec-writing step.
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Open skill - /ladder-quality-order
Loss-2 judge (codex role). Over one topic's 6 shuffled research-design samples, pairwise-rank by quality using the D1–D5 standard. Emit the pairwise log; the harness computes the order and the ladder verdicts. Judge quality difference, never against academic standards.
Open skill - /optimization-loop
The optimizer brain for the ladder-foundry pretraining loop. Runs the two-level nested batch loop, delegates gating to gate_eval, attributes a failing batch to one weight (attribute-first), and recovers from disk after compaction. Control flow is fully scripted; only the
Open skill - /acu-nugget-recall
Tactic: Extract atomic units from one paper and score how much of a caller-supplied summary covers. Use for ACU-style binary or Nugget-style ternary recall checks; cannot run without a target summary.
Open skill

