What problem does it solve?
Helps you convert inconsistent literature-note entries into a complete, citation-safe, SP-STM-compatible record by validating required metadata and relationships without fabricating any information.
Core Features & Use Cases
- Required-field completeness checks: Verifies the presence of doi, zotero_key, journal, year, authors, and reproducibility_status, and flags missing fields for user completion.
- Reproducibility status validation: Ensures reproducibility_status is one of 未验证 / 部分验证 / 已验证 / 不适用 and guides corrections in the SP-STM context.
- Structure and citation hygiene enforcement: Recommends missing section headings, checks for suspicious/unverifiable citations, validates lit_id format (LIT-YYYY-FirstAuthor-Keyword), and flags dangling vault references (related_to/derived_from/solves) without auto-filling solves.
- Safety constraints for research integrity: Prevents citation fabrication, avoids altering original experimental data, and enforces consistent formula formatting and professional terminology labeling.
Quick Start
Ask the AI to format an existing Obsidian literature note by validating all required frontmatter fields, checking lit_id and citation integrity, and marking any missing sections or suspended vault references for review.
