abstract-structure
Remove domain surface details to expose transferable relational/mechanistic structure at a chosen abstraction level.
Classify assumptions by load-bearing importance and vulnerability.
$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill classify-assumption-vulnerability --agent claude-codeHow it fires
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Classify assumptions by load-bearing importance and vulnerability.
name: classify-assumption-vulnerability description: "Classify assumptions by load-bearing importance and vulnerability."
Classify assumptions by load-bearing importance and vulnerability to determine which require stress testing.
required: [assumption_register, dependent_claims] optional: [evidence_strength, perturbation_bounds] constraints: [importance and vulnerability must be scored or categorized separately]
1. Link each assumption to the claims or causal edges it supports. 2. Assess consequence of failure and current evidential support. 3. Assign vulnerability class and prioritize assumptions for challenge.
produces: [vulnerability_map, load_bearing_rank, challenge_queue] delta_fields: [findings, assumption_updates, uncertainties, decisions]
Mark vulnerability unknown when consequence or support cannot be assessed; do not silently assign low risk.
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.