abstract-structure
Remove domain surface details to expose transferable relational/mechanistic structure at a chosen abstraction level.
Assess or plan tests for publication/reporting/time-lag/citation/language bias using appropriate diagnostics.
$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill assess-publication-bias --agent claude-codeHow it fires
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Assess or plan tests for publication/reporting/time-lag/citation/language bias using appropriate diagnostics.
name: assess-publication-bias description: "Assess or plan tests for publication/reporting/time-lag/citation/language bias using appropriate diagnostics."
Assess publication, reporting, time-lag, citation, and language bias using diagnostics appropriate to the evidence design.
required: [evidence_records, outcome_schema, inclusion_frame] optional: [registry_records, search_log, effect_estimates] constraints: [bias claims require an observable missingness or selection pattern]
1. Define the eligible study universe and the observed evidence subset. 2. Compare availability, reporting, citation, timing, and language patterns across the declared dimensions. 3. Apply design-appropriate diagnostics and record assumptions. 4. Distinguish detected bias, plausible bias, and unassessed domains.
If the conclusion may change under plausible missing-study or selection-bias scenarios, consider `assess-sensitivity` as the next tactic.
produces: [bias_domain_assessments, diagnostic_results, sensitivity_implications, unassessed_domains] delta_fields: [findings, evidence_updates, uncertainties, decisions, open_questions]
Do not equate small samples with publication bias or treat absence from one index as non-publication.
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.