abstract-structure
Remove domain surface details to expose transferable relational/mechanistic structure at a chosen abstraction level.
Probe responses for inconsistency, logic gaps, and unsupported claims.
$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill cross-examine --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/cross-examineContext preview
The summary Claude sees to decide when to auto-load this skill.
Probe responses for inconsistency, logic gaps, and unsupported claims.
name: cross-examine description: "Probe responses for inconsistency, logic gaps, and unsupported claims."
Probe responses for inconsistency, logic gaps, and unsupported claims.
required: [claim, response, questions, evidence] optional: [criteria, prior_rounds] constraints: [questions must target explicit claims or assumptions]
1. Identify unsupported or inconsistent assertions. 2. Ask targeted follow-up questions. 3. Record answers, unresolved gaps, and evidence requests.
produces: [cross_examination_record, inconsistency_findings, evidence_requests] delta_fields: [findings, evidence_updates, uncertainties, open_questions]
Do not treat refusal or verbosity as inconsistency without a claim-level comparison.
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.