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在 OpenClaw 中安装
/install openclaw-local-embedding
功能描述
Initialize and configure OpenClaw local embedding mode on CPU-only machines. Handles network probe, proxy fallback, GGUF model download, cmake/llama.cpp comp...
安全使用建议
The skill appears to do what it says: probe for an HTTP CONNECT proxy, download a HuggingFace GGUF embedding model, and configure OpenClaw. Before running it: (1) review the included script yourself (scripts/init-model.mjs) — it's the active part that will run; (2) be cautious about NODE_TLS_REJECT_UNAUTHORIZED=0 — only use this if you explicitly trust the proxy doing TLS inspection; (3) verify any proxy address you supply or accept (the script tries a hard-coded Kuaishou internal IP which is only appropriate for that cloud); (4) run initial tests in an isolated VM/container if possible, and back up any OpenClaw config before applying changes; (5) ensure openclaw and node-llama-cpp come from sources you trust, and confirm the model is fetched from HuggingFace (the script uses a HuggingFace model id). If you are uncomfortable with disabling TLS verification or using unknown proxies, do not run the script on sensitive systems.
功能分析
Type: OpenClaw Skill
Name: openclaw-local-embedding
Version: 1.0.4
The skill bundle provides a utility for setting up local embeddings but introduces security vulnerabilities by explicitly disabling TLS certificate verification (NODE_TLS_REJECT_UNAUTHORIZED=0) in both SKILL.md and scripts/init-model.mjs. It also includes hardcoded references to an internal proxy IP (10.74.176.8) and performs network probing. While these actions are aligned with the stated purpose of supporting restricted environments, the intentional bypass of transport security is a high-risk configuration.
能力评估
Purpose & Capability
The name/description (local embedding setup on CPU-only machines behind an HTTP CONNECT proxy) matches the included instructions and script: probing connectivity, selecting a proxy, downloading a HuggingFace GGUF model via node-llama-cpp, verifying it, writing a .proxy record, and showing OpenClaw config/restart steps. Nothing requested by the skill (no external credentials, no unrelated service access) appears extraneous to that purpose.
Instruction Scope
Instructions and the script operate within the claimed scope: probing TLS and HTTP CONNECT proxies, writing a proxy record under ~/.openclaw/workspace/skills/openclaw-local-embedding/.proxy, and advising how to set openclaw.json and restart the gateway. Two points to be aware of: (1) the script and docs recommend setting NODE_TLS_REJECT_UNAUTHORIZED=0 for the download process (disables TLS certificate validation) — this is dangerous and should only be used if you trust the proxy performing MITM; (2) restart advice includes pkill -9 -f openclaw-gateway which force-kills processes and should be run carefully.
Install Mechanism
This is an instruction-only skill with a helper Node.js script included. There is no install spec that downloads arbitrary code or archives. Model download is performed via node-llama-cpp's resolver (HuggingFace model ID), and source-build fallback (llama.cpp) may compile locally if needed — this is coherent with the stated target environment.
Credentials
The skill does not require persistent credentials or declared environment variables. It does read existing HTTPS_PROXY environment variables if present and sets proxy-related env vars process-scoped during download. The recommended temporary setting NODE_TLS_REJECT_UNAUTHORIZED=0 weakens TLS validation during the process — acceptable in some corporate/proxy scenarios but risky otherwise. The script also contains a hard-coded Kuaishou cloud internal proxy (10.74.176.8:11080) which is reasonable for Kuaishou VMs but should be removed/ignored on non-Kuaishou hosts.
Persistence & Privilege
The skill does not request always: true, does not modify other skills, and only writes a small .proxy file under its own workspace. It does advise restarting the OpenClaw gateway (user action), but it does not assert permanent elevated privileges or force-inclusion.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install openclaw-local-embedding - 安装完成后，直接呼叫该 Skill 的名称或使用
/openclaw-local-embedding触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v1.0.4
Finalize: confirm all steps verified, config validation with fallback, complete workflow
v1.0.3
Step 4: clarify config set version compat, add config get verification and validate check, add JSON fallback path on failure
v1.0.2
Review: remove redundant Step 1, add openclaw config set CLI method, broaden description, renumber steps
v1.0.1
Fix: remove manage.sh, use standard openclaw gateway restart, remove source-only --openclaw-dir placeholder
v1.0.0
Initial release: CPU-only local embedding setup for proxy-gated networks
元数据
常见问题
Openclaw Local Embedding 是什么？
Initialize and configure OpenClaw local embedding mode on CPU-only machines. Handles network probe, proxy fallback, GGUF model download, cmake/llama.cpp comp... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 153 次。
如何安装 Openclaw Local Embedding？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install openclaw-local-embedding」即可一键安装，无需额外配置。
Openclaw Local Embedding 是免费的吗？
是的，Openclaw Local Embedding 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Openclaw Local Embedding 支持哪些平台？
Openclaw Local Embedding 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 Openclaw Local Embedding？
由 LeeGoDamn（@leegodamn）开发并维护，当前版本 v1.0.4。
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