open-ontologies
open-ontologies is a Data warehousing & modelling skill for AI agents, published by fabio-rovai in the open-ontologies repository on GitHub. Skillspace rates open-ontologies C (78/100) and it passed the safety scan; the rating is based on static analysis only.
AI-native ontology engineering using 50+ MCP tools backed by an in-memory Oxigraph triple store. Build, validate, query, and govern RDF/OWL ontologies with a generate-validate-iterate loop. Use when building ontologies, knowledge graphs, RDF data, SPARQL queries, BORO/4D modeling, SHACL validation, clinical terminology mapping, ingesting from CSV/JSON/Parquet/XLSX or SQL backbones (PostgreSQL, DuckDB), or Terraform-style ontology lifecycle management.
- Grade
- C
- Quality
- 78 / 100
- Safety
- Passed
- GitHub stars
- 199
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 84 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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