Three Tier Memory

This skill appears to implement the advertised three-tier memory system, but there are several mismatches between the documentation and the code you should review before installing: (1) The docs ask for a YAML config but the script uses a JSON config file; (2) The docs mention automatic summarization via LLMs, yet the script currently uses a local placeholder summary routine (no LLM network calls) — if you expect integrated LLM summaries you must inspect/modify code to provide the intended API hooks and ensure credentials are handled safely; (3) The script writes files into WORKSPACE_DIR (default /Users/scott/.openclaw/workspace) but the SKILL.md does not declare or highlight this environment variable — set WORKSPACE_DIR to an isolated directory or inspect the default path before running; (4) The long-term store uses chromadb if installed; installing third-party Python packages should be done in a virtualenv and reviewed. Recommendation: review the included scripts/memory_manager.py source yourself (or run it in an isolated environment), confirm where files will be written, and only enable LLM/network integrations after verifying how credentials would be provided and stored. If you need higher assurance, request a version that actually integrates with your intended LLM backend and documents required env vars and install steps.