Fast Unified Memory

This skill appears to implement a local unified memory using Ollama and file-based storage, but there are some red flags you should address before installing or running it on your primary machine: - Hardcoded paths and username: The code uses '/home/broedkrummen/.openclaw/workspace/memory' and default user_id 'broedkrummen'. That is likely a leftover from the developer's environment. Inspect and change these to use process.env.HOME or a configurable path before running it. Running it as-is could attempt to read or write the wrong user's files or simply fail. - Configuration via env: The code hardcodes OLLAMA_URL and the embedding model; consider editing the script to accept OLLAMA_URL, MODEL, and memory paths via environment variables or CLI flags. - Installer instruction: SKILL.md suggests running curl | sh to install Ollama from the vendor site. Only run that if you trust the source and understand the installer. Prefer installing via your system package manager or reviewing the install script contents first. - Sandbox/testing: Run the script in a disposable/sandbox environment (or a container) first to confirm which files are read/written and to verify it only contacts your local Ollama instance. - Audit storage: Check ~/.mem0/fast-store.json and your OpenClaw memory folder after use. If you need multi-user behavior, modify code to avoid a hardcoded user_id. If you make the above fixes (replace hardcoded paths/username, add configurable env variables, and verify network behavior), the skill would look coherent and low-risk. As-is, treat it with caution.