Ontology

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

This skill implements a local, append-only ontology stored on disk and the bundled Python CLI mostly matches the documentation. Before installing or enabling it: (1) Verify which storage path the agent will actually use (SKILL.md uses memory/ontology; skill.yaml sets ~/clawd/ontology) and adjust to a safe directory you control. (2) Confirm your environment runs Python (the implementation is Python) — skill.yaml's Node requirement is incorrect and should be clarified with the author. (3) Do not store secrets directly in the graph — the schema enforces secret_ref, but other skills or users might accidentally write sensitive values; treat the graph files as potentially sensitive and restrict file permissions. (4) Inspect the full scripts/ontology.py (particularly the truncated schema-loading/validation code) for any network I/O before granting broad access. (5) If you need cross-skill sharing, require skills to declare exact read/write contracts per the Skill Contract. These inconsistencies look like sloppy packaging rather than overtly malicious behavior, but confirm the above points before trusting the skill with sensitive data.

Type: OpenClaw Skill Name: ontology-clawd Version: 1.0.0 The 'ontology-clawd' skill provides a structured knowledge graph for agent memory, supporting entity CRUD operations, relationship mapping, and schema validation. The implementation in `scripts/ontology.py` follows security best practices, including path traversal protection via a `resolve_safe_path` utility and explicit constraints in `SKILL.md` and `references/schema.md` to prevent the storage of raw secrets (e.g., passwords or tokens). No evidence of malicious intent, data exfiltration, or prompt injection was found.