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Create a 3-tier memory directory structure (HOT/WARM/COLD) for OpenClaw agents and configure the built-in memory-core plugin to use Google Gemini Embeddings...

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许可证:MIT-0

MIT-0 ·免费使用、修改和重新分发。无需归因。

版本:v1.0.4

统计:⭐ 0 · 23 · 0 current installs · 0 all-time installs

0

安装量(当前) 0

🛡 VirusTotal :良性 · OpenClaw :良性

Package:autosolutionsai-didac/agent-memory-setup-v2

安全扫描(ClawHub)

  • VirusTotal :良性
  • OpenClaw :良性

OpenClaw 评估

The skill does what it says: it creates local memory directories and gives configuration steps to enable Google Gemini embeddings; it asks for a Gemini API key only and contains no hidden network calls or unrelated credential requests.

目的

Name/description match the delivered artifacts: a small setup script that creates HOT/WARM/COLD memory files and SKILL.md instructions to configure OpenClaw to use Gemini embeddings. No unrelated binaries, installs, or credentials are requested.

说明范围

SKILL.md instructs only to run the provided bash script (which only writes local files), edit openclaw.json, export GEMINI_API_KEY, and restart the gateway. It warns that subsequent embedding calls will send memory content to Google's API—no instructions read unrelated system files or exfiltrate data.

安装机制

No install spec; the skill is instruction-only plus a single local script. The script is a small, readable bash file and does not download or execute remote code.

证书

The only credential the skill requires in practice is the GEMINI_API_KEY described in the README; that is appropriate for enabling a cloud embedding provider. No other secrets or unrelated environment variables are requested.

持久

always:false and the skill does not alter other skills or system-wide config automatically. It needs a manual edit of openclaw.json and a manual gateway restart; normal autonomous invocation settings are unchanged.

综合结论

This skill is small and coherent, but before installing consider: (1) After setup, your agent will send memory file contents to Google Gemini for embedding — do not store sensitive secrets or personal data in these memory files unless you accept that external transmission. (2) Use a dedicated Google API key/project to limit blast radius and billing exposure; treat GEMINI_API_KEY as secret and rotate/revoke if needed. (3) Review and commit the …

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「Agent Memory Setup v2 (Gemini Embeddings 2)」。简介:Create a 3-tier memory directory structure (HOT/WARM/COLD) for OpenClaw agents …。
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/autosolutionsai-didac/agent-memory-setup-v2/SKILL.md
(来源:yingzhi8.cn 技能库)

SKILL.md

打开原始 SKILL.md(GitHub raw)

暂无本地缓存内容,可在后台执行详情同步。