ontology
Typed knowledge graph for structured agent memory and composable skills. Use when creating/querying entities (Person, Project, Task, Event, Document), linkin...
v1.0.4
2026/03/11
- Initial release of the ontology skill for typed, constraint-validated knowledge graphs. - Supports entity and relation CRUD, property and relation validation, and graph traversal for common types such as Person, Project, Task, Event, and Document. - Provides schema-driven constraints including required properties, enums, forbidden fields, cardinality, and acyclicity. - Enables multi-step planning and shared memory across skills via structured ontology objects. - Includes CLI tooling for creating, querying, linking, and validating graph data using JSONL storage.
v0.1.1
2026/02/12
No changelog provided.
v0.1.0
2026/01/26
No changelog provided.
Security Scan
Status
clean
OpenClaw
gpt-5-mini
OpenClaw analysis
The skill is internally consistent: it implements a local, file-based typed knowledge graph (ontology) and does not request extra credentials, network access, or unusual installs.
Confidence: high
VirusTotal
Type: OpenClaw Skill Name: ontology Version: 1.0.4 The 'ontology' skill provides a robust framework for managing a local knowledge graph (entities and relations) stored in JSONL format. The implementation in `scripts/ontology.py` includes proactive security measures such as a `resolve_safe_path` function to prevent path traversal and schema constraints in `references/schema.md` that explicitly forbid storing raw secrets like passwords or tokens. The logic is transparent, well-documented, and strictly focused on its stated purpose of structured memory management.