The Research Lint skill is a specialized validation tool designed for the AIWG cognitive architecture and AI-augmented software development workflows. It automatically scans research directories to detect orphan notes, missing frontmatter, and broken internal references (REF-XXX). By enforcing strict rulesets—including GRADE quality assessments, provenance metadata, and ISO date formats—it ensures that large-scale research repositories remain searchable, interconnected, and production-ready for both AI agents and human collaborators.
主要功能
01Provides CI/CD support with configurable severity thresholds
02Automates fixes for missing frontmatter fields and date formatting
03146 GitHub stars
04Detects broken citations and unresolvable REF identifiers
05Identifies orphan notes with no inbound references
06Validates GRADE quality assessments and provenance metadata
使用场景
01Ensuring referential integrity in complex documentation graphs before deployment
02Standardizing large research repositories after bulk induction of new notes
03Automating quality gates in CI/CD pipelines for AI-augmented development