abstract-structure
Remove domain surface details to expose transferable relational/mechanistic structure at a chosen abstraction level.
Audit train/test leakage, memorization artifacts, temporal leakage, and disclosure pathways that can invalidate evaluation.
$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill audit-data-contamination --agent claude-codeHow it fires
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/audit-data-contaminationContext preview
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Audit train/test leakage, memorization artifacts, temporal leakage, and disclosure pathways that can invalidate evaluation.
name: audit-data-contamination description: "Audit train/test leakage, memorization artifacts, temporal leakage, and disclosure pathways that can invalidate evaluation."
Audit train/test leakage, memorization artifacts, temporal leakage, and disclosure pathways that can invalidate evaluation.
required: [dataset_partitions, training_sources, evaluation_records] optional: [release_history, deduplication_keys, access_logs] constraints: [each contamination claim requires a matched record, pathway, and comparison basis]
1. Define partition, temporal, entity, and disclosure boundaries. 2. Match evaluation items against training and public-source records using declared keys. 3. Test suspected leakage pathways and compare affected with unaffected cases. 4. Classify confirmed, plausible, and unassessed contamination with impact notes.
produces: [contamination_matches, pathway_map, affected_case_set, impact_assessment, audit_uncertainties] delta_fields: [findings, evidence_updates, uncertainties, decisions, open_questions]
Do not call lexical overlap contamination without a disclosure pathway, and do not infer clean separation from missing metadata.
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.