Smart Cache

Intelligent caching with LRU/LFU strategies and TTL management

This skill is internally coherent and low-risk: it’s an instruction-only skill containing example JavaScript for an in-memory cache and does not request credentials or perform network operations. Before using it in production, note that SKILL.md is only example code (there are no shipped code files or install steps) — you or your environment would need to actually include/execute the code. Review the implementation for scalability and correctness (updateAccessOrder uses array.filter which is O(n) per access and may not scale for large caches; calculateHitRate is a simplistic heuristic, TTL handling is in-memory only and not durable across restarts). If you need a production-ready cache, consider using a well-maintained library (e.g., lru-cache or a managed cache) rather than copying this snippet. Otherwise, it is reasonable to install/invoke for local testing or as a reference.

Type: OpenClaw Skill Name: smart-cache Version: 1.0.0 The OpenClaw skill bundle 'smart-cache' is classified as benign. The `SKILL.md` file contains a JavaScript implementation of an in-memory caching utility. The code uses standard JavaScript data structures and performs no file system, network, or process-level operations. There is no evidence of data exfiltration, persistence mechanisms, obfuscation, or prompt injection attempts against the AI agent within the markdown instructions. The skill's behavior is entirely aligned with its stated purpose of providing intelligent caching.