Semantic Cache

Semantic cache for LLM API calls using Redis. Caches responses by meaning, not exact match. Activate when the user wants to cache AI responses, reduce API co...

This skill appears to be what it claims, but take these precautions before installing/using it: (1) Point REDIS_URL to a Redis instance you control and preferably to a dedicated database/namespace so cache operations (keys, del, ft.dropIndex) don't remove unrelated data. (2) Be aware that running query/test/stress scripts will call OpenAI (embedding + completion) and can incur cost. (3) Use least-privilege credentials for Redis (ACLs or limited user) and rotate API keys as usual. (4) Run tests in a sandboxed/dev environment first to confirm key-prefix behavior and TTLs. (5) If you require stricter review, inspect the package-lock and installed transitive dependencies or run npm audit before deployment.

Type: OpenClaw Skill Name: semantic-cache Version: 1.0.0 The semantic-cache skill is a legitimate utility for caching LLM responses using Redis vector search and OpenAI embeddings. Analysis of scripts/cache.js and scripts/stress-test.js shows standard implementation of KNN search and cache management without any dangerous sinks, unauthorized network calls, or data exfiltration logic. The instructions in SKILL.md are aligned with the code's functionality and do not contain prompt-injection attacks or deceptive commands.