Knowledge Engine

This skill largely matches its stated purpose (a local knowledge engine) and uses only Python standard libraries, but take a few precautions before installing or enabling it: - Review and, if needed, override the storage path: the default DB_PATH builds a memory/ directory by moving up three directories from scripts/, which can create files outside the skill folder (workspace-level memory). Set KNOWLEDGE_DB to a safe path (inside a sandbox or the skill folder) before first run. - Inspect the remaining/truncated source files (especially scripts/screenshot.py, visualize.py, and any omitted files) to confirm they do not perform unexpected network I/O or capture sensitive data. screenshot.py in particular could access the screen or create images; only accept it if you expect that behavior. - Expect the skill to persist queries and concept data locally (usage_log stores queries). If you will store sensitive notes, consider encrypting the storage or running the skill in a restricted directory. - Run the skill in a sandbox or test environment first (e.g., a throwaway workspace) to confirm where files are written and what gets created (memory/, knowledge.db, Desktop output). Verify the generated files and permissions. - If you plan to let other agents call the ke API, remember that any agent with access can read the stored knowledge; only allow trusted agents to use this skill. If you want, I can: (1) inspect the truncated files (provide their contents) for network calls or risky operations, or (2) suggest a safe configuration (exact KNOWLEDGE_DB and directory layout) to limit where the skill writes data.