ontology

Typed knowledge graph for structured agent memory and composable skills. Use when creating/querying entities (Person, Project, Task, Event, Document), linkin... 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. This skill appears to be a local, file-backed ontology implementation and is coherent with its description. Before installing, consider: 1) it will write and append to memory/ontology/graph.jsonl in your workspace — ensure you are comfortable with that storage location and retention of the append-only history; 2) the code uses a path resolver that restricts operations to the workspace root (a safety feature), but still review scripts/ontology.py yourself if you need stronger guarantees; 3) the schema enforces that secrets should be stored as secret_ref (not inline) — confirm your secret store integration if you plan to reference credentials; 4) because the skill can be invoked by the agent, be aware that the agent could read/write the ontology autonomously (normal behavior) so only enable it if you trust the agent to manage local data. If you want higher assurance, request the full validate_graph implementation (some code was truncated in the provided file) and scan the script for any hidden network calls or subprocess invocations (none were found in the visible code).

• • Run a minimal workflow with ontology and verify output quality + runtime logs.
• • Validate install command, load behavior, and rollback in a clean environment.

• • Build a focused agent workflow using ontology as one capability node.
• • Combine this skill with a retrieval/search skill and compare output quality.