abstract-structure
Remove domain surface details to expose transferable relational/mechanistic structure at a chosen abstraction level.
Identify randomness sources and define seed/repetition/propagation rules sufficient for the intended reproducibility level.
$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill design-randomness-protocol --agent claude-codeHow it fires
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Identify randomness sources and define seed/repetition/propagation rules sufficient for the intended reproducibility level.
name: design-randomness-protocol description: "Identify randomness sources and define seed/repetition/propagation rules sufficient for the intended reproducibility level."
Identify randomness sources and define seed/repetition/propagation rules sufficient for the intended reproducibility level.
required: [randomness_sources, reproducibility_target, run_plan] optional: [evidence, assumptions, prior_results] constraints: [use named scientific objects; retain provenance and missingness; $\alpha$ = 0.05 and power = 0.8 where applicable]
1. Validate the typed inputs and state the decision this operation must support. 2. Apply the declared operation to the named object; record intermediate values that affect interpretation. 3. Check boundary conditions and counterexamples, then emit the result with uncertainty and source links.
produces: [design_randomness_protocol_result, evidence_trace, uncertainties] delta_fields: [evidence_updates, uncertainties]
Return a failed operation with the violated precondition when inputs are incomplete, assumptions are unsupported, or a counterexample defeats the result.
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.