abstract-structure
Remove domain surface details to expose transferable relational/mechanistic structure at a chosen abstraction level.
Assess one readiness dimension against explicit anchors/evidence.
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Assess one readiness dimension against explicit anchors/evidence.
name: assess-readiness-dimension description: "Assess one readiness dimension against explicit anchors/evidence."
Assess one readiness dimension against explicit anchors, evidence, and known deficits.
required: [subject_record, readiness_dimension, anchor_definition, evidence_register] optional: [scoring_scale, prior_assessment] constraints: [anchor levels are ordered and observable; every score cites evidence and a deficit statement]
1. Define the dimension, scale, anchor descriptions, and decision relevance. 2. Map each supplied evidence item to the strongest supported anchor and record contrary evidence. 3. Assign the lowest defensible level whose requirements are met; record missing requirements separately. 4. Emit the dimension score, evidence basis, deficits, and reassessment trigger.
produces: [readiness_level, evidence_basis, deficit_list, reassessment_trigger] delta_fields: [findings, evidence_updates, uncertainties, decisions, open_questions]
Do not average incomparable readiness dimensions. A high score on one dimension cannot erase an unmet hard requirement on another.
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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