This skill provides a specialized auditing mechanism for managing the lifecycle of research-oriented entity profiles (People, Organizations, Groups, Funders, and Sources). By parsing frontmatter data from Markdown profiles, it identifies which records are overdue for a refresh based on customizable cadences such as monthly, quarterly, or annual cycles. This is an essential tool for maintaining high-quality cognitive architectures, allowing researchers and developers to quickly identify and update stale data within their knowledge corpus using structured reports in table, CSV, or list formats.
主要功能
01Support for specialized entity types including PROF-P, O, G, and F
02Filtered views to isolate only overdue profiles using stale-only flags
03146 GitHub stars
04Multi-format reporting options including Markdown tables and CSV
05Automated staleness calculation based on metadata-defined refresh cadences
06Seamless integration with the AIWG research-corpus toolset
使用场景
01Performing periodic audits of research documentation to ensure data accuracy
02Identifying outdated organizational or funding data within a cognitive architecture
03Generating status reports for knowledge base maintenance workflows