validating-knowledge-structure
OfficialValidate knowledge graphs for mathematical soundness.
Authorvanderbilt-data-science
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Validating Knowledge Structure identifies and enforces mathematical accuracy, educational plausibility, CbKST alignment, and schema conformance in knowledge graphs, ensuring readiness for downstream phases.
Core Features & Use Cases
- Automated Validation: Runs systematic checks (transitivity, acyclicity, referential integrity) on knowledge graphs.
- CbKST & Educational Checks: Verifies learning-space constraints, Bloom's level consistency, and orphan/structure balance.
- Schema Compliance: Validates graphs against schemas/knowledge-graph.schema.json and related references.
- Graph I/O: Reads and writes graphs located in graphs/*.json for integration with the KST pipeline.
Quick Start
Run the automated validation workflow on your graph with a path to the graph file, e.g., python3 scripts/kst_utils.py validate <graph-path>.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: validating-knowledge-structure Download link: https://github.com/vanderbilt-data-science/knowledge-spaces/archive/main.zip#validating-knowledge-structure Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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