SKILL

okhp3-openclaw-stack-status

One-shot health report on the local AI stack -- Ollama, LM Studio, and the Docker-hosted Open WebUI/SearXNG/Qdrant containers. Use when asked "how's my local AI stack", "is Ollama running", "check Docker containers", or before loading a big model.

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适用对象:云服务、运维与安全。自动收录 · 待核查。

原作者说明节选

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原文涵盖的主题

  • Stack Status
  • What to check
  • Output
  • What this skill never does
  • About

OverKill Hill P³ · overkillhill.com · github.com/OKHP3 A single command that answers "is my local-first AI lab healthy right now," without opening five different apps. 1. Ollama: curl -s http://127.0.0.1:11434/api/ps for currently loaded models (empty response array means idle, which is normal and good), and curl -s http://127.0.0.1:11434/api/tags | jq -r '.models[].name' for the full local model roster count. If the connection is refused, say plainly that Ollama isn't running or isn't listening on 11434, don't guess why. 2. Docker containers: docker ps --format '{{.Names}}\t{{.Status}}\t{{.Image}}' filtered to the expected local-AI containers (open-webui, searxng, qdrant). Flag any of the three that are expected but not running. 3. Docker resource ceiling: docker system info --format '{{.MemTotal}}' or equivalent, to confirm the VM's memory cap is still in place (should be a fixed number, not unbounded). This is a known guardrail from an earlier review; if it's gone, flag it. 4. Optional host memory signal: on macOS, if vmstat is available, report compressed pages converted using its reported page size, not a hard-coded size. Free pages near zero alone do not establish pressure. O

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来源仓库
OKHP3/skillz
源文件
openclaw/okhp3-openclaw-stack-status/SKILL.md
固定版本
7b187777d42ab7bc7bab1e5f2c940cd3139ecebf
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原作者:OKHP3/skillz · 原作者仓库元数据。文档核查:未核查。最近来源检查:2026-11-10T10:00:55.262Z。

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