The Discovery Log skill is a specialized tool for researchers and developers using the AIWG framework to maintain provenance for their research corpus. It allows users to document exactly how a paper was discovered—identifying the surface (e.g., X, RSS, web), the specific path, and the curator. By injecting a structured discovery block into a citation sidecar's frontmatter, it enables advanced filtering and analytics, ensuring a transparent and reproducible research trail within AI-augmented development workflows.
主要功能
01Dry-run mode to preview metadata blocks before writing to disk
02Seamless integration with the AIWG source-tracking ecosystem
03146 GitHub stars
04Standardized vocabulary for discovery surfaces like X, RSS, and newsletters
05Automated metadata injection into sidecar frontmatter
06Links discovery events to specific curator IDs (PROF-S schema)
使用场景
01Organizing a large internal research corpus by curator or discovery channel for team analytics
02Tracking the effectiveness of different research newsletters by logging discovery surfaces
03Documenting the origin of a paper found via a specific social media influencer for future attribution