abstract-structure
Remove domain surface details to expose transferable relational/mechanistic structure at a chosen abstraction level.
Collect judgments/rankings from multiple genuinely independent evaluators or perspectives before exposing any peer outputs, preserving ballots and rationale for later social-choice aggregation.
$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill collect-independent-judgments --agent claude-codeHow it fires
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Collect judgments/rankings from multiple genuinely independent evaluators or perspectives before exposing any peer outputs, preserving ballots and rationale for later social-choice aggregation.
name: collect-independent-judgments description: "Collect judgments/rankings from multiple genuinely independent evaluators or perspectives before exposing any peer outputs, preserving ballots and rationale for later social-choice aggregation."
Collect blinded judgments from genuinely independent evaluators or perspectives before exposing peer outputs.
required: [judgment_prompt, evaluator_roster, candidate_set, independence_rules] optional: [rubric, response_deadline, abstention_policy] constraints: [evaluators receive no peer judgments; each ballot preserves rationale and provenance]
1. Freeze the candidate set, rubric, prompt, and independence rules before collection. 2. Obtain one sealed judgment and rationale per evaluator, recording abstentions and unavailable evidence. 3. Check for shared data, model, prompt, or deliberation leakage before unblinding. 4. Unblind only after collection, then return ballots, independence flags, and an aggregation-ready dataset.
If independent judgments are complete and their provenance is preserved, consider `aggregate-ranking` as the next tactic.
produces: [sealed_ballots, independence_audit, rationale_set, aggregation_dataset] delta_fields: [findings, evidence_updates, uncertainties, decisions, open_questions]
Do not count multiple roles using the same evidence as independent judgments. An abstention is a recorded outcome, not a missing pass.
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.