name: nature-paper-card version: 1.2.0 description: > Declarative routing for a source-grounded Sections 01-16 Paper Card. The paper_type axis changes the analytical checks while the final card structure remains stable across disciplines. always_load: - ../nature-shared/core/terminology-ledger.md - static/core/principles.md - static/core/workflow.md - static/core/output-contract.md axes: paper_type: detect: | Select one primary lens from the dominant argument. Select one secondary lens only when a second contribution carries substantial independent evidence and would otherwise be under-audited: methods - algorithm, model, tool, framework, or system contribution discovery - empirical discovery or biological/physical mechanism resource - dataset, benchmark, atlas, database, or community resource clinical - patient, population, diagnostic, prognostic, or intervention study materials - material design, synthesis, characterization, or engineering performance review - review, perspective, commentary, or meta-analysis Classify by evidence logic rather than field label. Load no more than two values. A methods paper with a substantial dataset contribution may use methods as primary and resource as secondary. values: methods: static/fragments/paper_type/methods.md discovery: static/fragments/paper_type/discovery.md resource: static/fragments/paper_type/resource.md clinical: static/fragments/paper_type/clinical.md materials: static/fragments/paper_type/materials.md review: static/fragments/paper_type/review.md default: methods multi: true references: on_demand: - condition: assigning provenance labels and separating source facts, external facts, analysis, and hypotheses path: references/evidence-and-provenance.md - condition: writing or auditing the exact Sections 01-16 Markdown structure path: references/card-schema.md - condition: generating, evaluating, or qualifying candidate research ideas path: references/research-idea-gates.md quality_tools: prepare_script: scripts/prepare_paper.py prepare_use_when: processing a PDF or nature-reader source-map JSON prepare_output: source_bundle.json audit_script: scripts/audit_paper_card.py audit_use_when: after the first complete Paper Card draft and after every corrective revision audit_output: audit-report.json script_resolution: resolve relative to the loaded SKILL.md directory, never the user working directory replacement_scripts: forbidden during normal Paper Card generation locator_modes: - page-grounded - structure-grounded - source-limited