abstract-structure
Remove domain surface details to expose transferable relational/mechanistic structure at a chosen abstraction level.
Define and challenge the system boundary: what actors, processes, externalities, timescales, and value assumptions are included or excluded.
$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill assess-system-boundary --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/assess-system-boundaryContext preview
The summary Claude sees to decide when to auto-load this skill.
Define and challenge the system boundary: what actors, processes, externalities, timescales, and value assumptions are included or excluded.
name: assess-system-boundary description: "Define and challenge the system boundary: what actors, processes, externalities, timescales, and value assumptions are included or excluded."
Define and challenge which actors, processes, externalities, timescales, and values are inside or outside a system boundary.
required: [target_system, boundary_candidate] optional: [actors, processes, externalities, time_horizon, value_assumptions] constraints: [every inclusion and exclusion must be explicit]
1. Inventory actors, processes, externalities, and timescales. 2. Mark each item inside, outside, or contested under the candidate boundary. 3. Generate boundary alternatives and compare consequences for the research question.
produces: [system_boundary, inclusion_exclusion_register, boundary_alternatives, consequence_map] delta_fields: [findings, assumption_updates, uncertainties, decisions]
Reject a boundary that hides material externalities or treats excluded stakeholders as irrelevant.
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.