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

开发与 DevOps

作者:azzar budiyanto @1999AZZAR

许可证:MIT-0

MIT-0 ·免费使用、修改和重新分发。无需归因。

版本:v1.1.9

统计:⭐ 1 · 2k · 7 current installs · 7 all-time installs

1

安装量(当前) 7

🛡 VirusTotal :良性 · OpenClaw :良性

Package:1999azzar/memory-cache

安全扫描(ClawHub)

  • VirusTotal :良性
  • OpenClaw :良性

OpenClaw 评估

The skill's code and runtime instructions match its Redis caching description and requests only a Redis connection and python; minor metadata inconsistencies and operational cautions remain but the package is internally coherent.

目的

Name/description (Redis-backed cache with mema: namespace) aligns with the included Python script and shell helper. The functionality (set/get/scan/ttl/expire/ping) and declared dependencies (redis, python-dotenv, python3) are appropriate for the stated purpose.

说明范围

SKILL.md instructs using a .env (env.example.txt) and running the provided cache_manager.py via python3 or scripts/cache.sh which creates a local virtualenv and installs requirements. The script loads environment variables (.env and the process environment) and only communicates with Redis; it does not contact external endpoints beyond the Redis server. Note: example command references $WORKSPACE path — runtime must ensure correct path mapping.

安装机制

No remote downloads or arbitrary URLs; installation is local pip install -r requirements.txt performed by the provided script or by the SKILL.md metadata. Requirements are standard (redis, python-dotenv). The script will create a .venv directory inside the skill tree to install dependencies.

证书

The runtime requires REDIS_URL (and supports REDIS_HOST/PORT/PASSWORD/DB/timeouts), which is proportional to a Redis cache skill. However, top-level registry metadata lists no required env vars while SKILL.md metadata declares REDIS_URL — this mismatch should be clarified. The script reads .env and environment variables, so any secrets present in .env will be loaded.

持久

always is false and model invocation is allowed (default), which is appropriate. The skill writes a local .venv but does not modify other skills or system-wide agent configurations. No elevated privileges or permanent always-on presence are requested.

综合结论

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 requi…

安装(复制给龙虾 AI)

将下方整段复制到龙虾中文库对话中,由龙虾按 SKILL.md 完成安装。

请把本段交给龙虾中文库(龙虾 AI)执行:为本机安装 OpenClaw 技能「Memory Cache」。简介:High-performance temporary storage system using Redis. Supports namespaced keys…。
请 fetch 以下地址读取 SKILL.md 并按文档完成安装:https://raw.githubusercontent.com/openclaw/skills/refs/heads/main/skills/1999azzar/memory-cache/SKILL.md
(来源:yingzhi8.cn 技能库)

SKILL.md

打开原始 SKILL.md(GitHub raw)

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