abstract-structure
Remove domain surface details to expose transferable relational/mechanistic structure at a chosen abstraction level.
Attach supporting or contradicting evidence to a specific claim/relation with quality, directness, and independence metadata.
$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill attach-evidence-to-relation --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/attach-evidence-to-relationContext preview
The summary Claude sees to decide when to auto-load this skill.
Attach supporting or contradicting evidence to a specific claim/relation with quality, directness, and independence metadata.
name: attach-evidence-to-relation description: "Attach supporting or contradicting evidence to a specific claim/relation with quality, directness, and independence metadata."
Attach source evidence to a typed relation between concepts, claims, or entities with directness and independence metadata.
required: [relation, evidence_records, relation_schema] optional: [quality_rubric, independence_keys, confidence_prior] constraints: [evidence must support the relation type and direction claimed]
1. Identify the relation type, endpoints, direction, and boundary conditions. 2. Match each evidence record to the relation and classify directness. 3. Assess quality, independence, consistency, and alternative interpretations. 4. Emit an evidence-linked relation with confidence rationale.
If attached evidence supports incompatible relation states under the same scope, consider `detect-contradiction` as the next tactic.
produces: [evidence_relation, support_records, directness_assessment, independence_assessment, confidence_rationale] delta_fields: [findings, evidence_updates, uncertainties, decisions, open_questions]
Do not attach a citation merely because it mentions both entities.
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.
Evaluate competing arguments against stated criteria and produce a reasoned verdict with uncertainty.
Move a scientific object up/down in abstraction or narrow/broaden selected scope dimensions (population, mechanism, context, outcome, timeframe, system…
Run structured attack/defense/adjudication over a claim, candidate, criterion set, or current winner. Perspective, target, escalation depth,…
Aggregate criterion or comparison results into an ordered recommendation under an explicit rule.
Abstract relational structure from source domains, map it to the target, validate depth, and instantiate transferable mechanisms.