Ontology

Typed knowledge graph for structured agent memory and composable skills. Use when creating/querying entities (Person, Project, Task, Event, Document), linkin...

This skill appears to do what it claims: local, file-backed ontology CRUD and queries implemented in Python. Before installing or running it, check these practical points: 1) Confirm which storage path will be used in your environment (SKILL.md/script default: memory/ontology/graph.jsonl; skill.yaml default: ~/clawd/ontology) and adjust ONTOLOGY_PATH if needed. 2) Review the remainder of scripts/ontology.py (the provided excerpt was truncated) to confirm there are no hidden network calls or telemetry. 3) The tool writes append-only history to disk in the agent's workspace — run it in an isolated workspace if you want to avoid mixing with other files, and plan for backups/rotation. 4) Do not store raw secrets in entity properties; follow the skill's credential_secret_ref pattern and integrate a proper secret store if you need to reference credentials. 5) The metadata mismatch (Node compatibility vs Python implementation, differing homepages/owner IDs) looks like packaging/documentation drift — treat it as a non-security issue but verify which runtime the platform will use. If you want higher assurance, ask the maintainer for a full audit of the shipped Python file and a clear statement of the canonical storage path.

Type: OpenClaw Skill Name: ont-v1 Version: 1.0.0 The 'ontology' skill provides a structured knowledge graph system for agent memory, enabling entity CRUD operations and relationship management. The implementation in `scripts/ontology.py` includes security best practices such as path traversal protection via `resolve_safe_path` and explicit validation rules in `SKILL.md` and `references/schema.md` to prevent the storage of sensitive credentials like passwords or tokens. No evidence of malicious intent, data exfiltration, or unauthorized execution was found.