Memory Cache

High-performance temporary storage system using Redis. Supports namespaced keys (mema:*), TTL management, and JSON serialization for session context and API...

This skill appears to do what it says: a Redis-backed cache accessed via a local Python script. Before installing, confirm: (1) REDIS_URL points to a trusted Redis instance (a misconfigured or public Redis can leak or accept data); (2) you understand that the skill will read a .env file and environment variables (do not store unrelated secrets there); (3) the script will create a .venv inside the skill directory and install packages from requirements.txt (no external downloads); (4) keys can be up to 512 MiB in value — avoid storing sensitive or large blobs unless intended. Also ask the publisher to fix the metadata mismatch (registry shows no required env vars while SKILL.md requires REDIS_URL) and to confirm the intended workspace path usage ($WORKSPACE). If you need tighter controls, restrict network access to the Redis host and avoid using the cache for secrets or long-term storage.

Type: OpenClaw Skill Name: memory-cache Version: 1.1.9 The skill bundle provides a Redis-backed memory cache system. All code and documentation align with the stated purpose of a high-performance temporary storage system. The `SKILL.md` instructions do not contain any prompt injection attempts. The `scripts/cache_manager.py` script includes robust key validation, uses `scan_iter` for safe key scanning, and handles Redis connections securely via environment variables. The `scripts/cache.sh` script safely sets up a virtual environment and executes the Python script without introducing shell injection vulnerabilities. There is no evidence of data exfiltration, malicious execution, persistence mechanisms, or obfuscation. The dependencies are standard and appropriate for the functionality.