abstract-structure
Remove domain surface details to expose transferable relational/mechanistic structure at a chosen abstraction level.
Execute one pairwise comparison under a specified criterion/model and return winner, confidence, and reasons.
$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill compare-pair --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/compare-pairContext preview
The summary Claude sees to decide when to auto-load this skill.
Execute one pairwise comparison under a specified criterion/model and return winner, confidence, and reasons.
name: compare-pair description: "Execute one pairwise comparison under a specified criterion/model and return winner, confidence, and reasons."
Execute one pairwise comparison under a declared criterion and return a winner, confidence, tie status, and reasons.
required: [item_a, item_b, comparison_criterion, comparison_model, evidence_register] optional: [tie_rule, prior_ratings] constraints: [criterion direction and evidence scope are fixed before comparison]
1. Verify that both items are comparable under the same criterion and evidence scope. 2. Assess item A and item B symmetrically, recording criterion-level evidence and limitations. 3. Select A, B, or tie; assign confidence on the declared scale and explain the decisive contrast. 4. Return the comparison record without updating global ratings.
produces: [pairwise_result, confidence, rationale, evidence_gaps] delta_fields: [findings, evidence_updates, uncertainties, decisions]
Do not compare items with different scopes or criteria. If evidence is asymmetric or incomparable, return unresolved rather than forcing a winner.
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.
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