ontology-pro

基于文本构建并持续更新知识图谱，支持多步推理和因果分析，输出可执行的最优策略与行动建议。

What to consider before installing/using this skill: - Persistent storage: The skill writes/reads graph files on disk (code defaults to ~/.ontology-pro/graphs). The documentation also references a different path (.workbuddy/ontology). Confirm which path will be used and where data will be stored, especially if you handle sensitive information. - Privacy: Any text you ask the agent to 'remember' may be persisted indefinitely in those JSON graph files. If you plan to include sensitive content, use an isolated environment, or avoid the memory/save commands. - Auto-loading triggers: The skill is designed to be auto-loaded for broad keywords (ontology, knowledge graph, reasoning, etc.). If you want tighter control, disable automatic invocation or require explicit user invocation in the agent settings. - Review scripts before running: The two included scripts operate locally and appear to only manipulate JSON files and generate Mermaid text. If you want absolute certainty, inspect/execute them in a sandbox to verify they behave as expected. - Backups and cleanup: Because the skill supports long-lived memory, consider configuring a backup/retention policy and periodically review stored graphs. If you find the docs and code disagree on storage paths, update or patch the skill to use the location you prefer. Overall: the skill appears coherent and implements what it promises, but treat its persistent-memory feature as the main risk vector and control storage location and invocation policy accordingly.

Type: OpenClaw Skill Name: ontology-pro Version: 1.0.1 The ontology-pro skill bundle is a well-structured cognitive engine for knowledge graph management and reasoning. The included Python scripts (memory_manager.py and graph_visualize.py) handle local data persistence and visualization using standard libraries without any network activity, obfuscation, or unauthorized file access. The instructions in SKILL.md and the reference protocols are consistent with the stated purpose of building and querying a local knowledge base, and no evidence of malicious intent or prompt-injection attacks was found.