cross-validation
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npx mdskill add yogsoth-ai/de-anthropocentric-research-engine/cross-validationValidates authenticity of research gaps using multi-source verification
- Solves the problem of verifying whether a research gap is genuine or an artifact
- Leverages web search, paper search, and domain-specific databases for validation
- Applies temporal testing, false-gap filtering, and stakeholder confirmation logic
- Returns structured validation results with cross-database and time-window evidence
SKILL.md
.github/skills/cross-validationView on GitHub ↗
--- name: cross-validation description: Multi-source cross-validation of gap authenticity — cross-database search, temporal sensitivity testing, false-gap filtering, stakeholder confirmation. execution: tactic used-by: gap-validation --- # Cross-Validation Multi-source verification of gap authenticity. ## Operations - cross-database-verification — search gap across 3+ databases - temporal-sensitivity-testing — test persistence across time windows - false-gap-filtering — detect search failures vs genuine absences - stakeholder-confirmation — validate from multiple perspectives ## Available SOPs **Subagent:** cross-database-verification, temporal-sensitivity-testing, false-gap-filtering, stakeholder-confirmation **Import:** web-search, paper-search ## Execution Guidance For each gap candidate: verify across 3+ databases (Semantic Scholar, Google Scholar, arXiv, domain-specific), test if gap persists across 2/5/10 year windows, apply false-gap heuristics (wrong search terms? already solved? inherently unanswerable?), confirm with stakeholder simulation. ## Minimum Yield ``` <HARD-GATE> - cross-database checks: >= 3 per gap - temporal windows tested: >= 2 per gap - false-gap filter applied: >= 1 per gap </HARD-GATE> ```