Openclaw Parallels Smoke logo

Openclaw Parallels Smoke

CommunityPopular
SafeAI-Lab-X
openclaw-parallels-smoke

End-to-end Parallels smoke, upgrade, and rerun workflow for OpenClaw across macOS, Windows, and Linux guests. Use when Codex needs to run, rerun, debug, or interpret VM-based install, onboarding, gateway smoke tests, latest-release-to-main upgrade checks, fresh snapshot retests, or optional Discord roundtrip verification under Parallels.

Overview

PublisherSafeAI-Lab-X
RepositoryClawKeeper
Skill nameopenclaw-parallels-smoke
Stars
1K
Forks
57
Bundled files
Instructions only
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by SafeAI-Lab-X on GitHub. Read the source before you install it.

Installation

Install the Openclaw Parallels Smoke AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/SafeAI-Lab-X/ClawKeeper/tree/main/legacy/clawkeeper-watcher/.agents/skills/openclaw-parallels-smoke
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/SafeAI-Lab-X/ClawKeeper.git /tmp/ClawKeeper
mkdir -p .claude/skills
cp -r /tmp/ClawKeeper/legacy/clawkeeper-watcher/.agents/skills/openclaw-parallels-smoke .claude/skills/openclaw-parallels-smoke
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Openclaw Parallels Smoke in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Openclaw Parallels Smoke on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Openclaw Parallels Smoke is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

OpenClaw Parallels Smoke

Use this skill for Parallels guest workflows and smoke interpretation. Do not load it for normal repo work.

Global rules

  • Use the snapshot most closely matching the requested fresh baseline.
  • Gateway verification in smoke runs should use openclaw gateway status --deep --require-rpc unless the stable version being checked does not support it yet.
  • Stable 2026.3.12 pre-upgrade diagnostics may require a plain gateway status --deep fallback.
  • Treat precheck=latest-ref-fail on that stable pre-upgrade lane as baseline, not automatically a regression.
  • Pass --json for machine-readable summaries.
  • Per-phase logs land under /tmp/openclaw-parallels-*.
  • Do not run local and gateway agent turns in parallel on the same fresh workspace or session.

macOS flow

  • Preferred entrypoint: pnpm test:parallels:macos
  • Default to the snapshot closest to macOS 26.3.1 latest.
  • On Peter's Tahoe VM, fresh-latest-march-2026 can hang in prlctl snapshot-switch; if restore times out there, rerun with --snapshot-hint 'macOS 26.3.1 latest' before blaming auth or the harness.
  • prlctl exec is fine for deterministic repo commands, but use the guest Terminal or prlctl enter when installer parity or shell-sensitive behavior matters.
  • On the fresh Tahoe snapshot, brew exists but node may be missing from PATH in noninteractive exec. Use /opt/homebrew/bin/node when needed.
  • Fresh host-served tgz installs should install as guest root with HOME=/var/root, then run onboarding as the desktop user via prlctl exec --current-user.
  • Root-installed tgz smoke can log plugin blocks for world-writable extensions/*; do not treat that as an onboarding or gateway failure unless plugin loading is the task.

Windows flow

  • Preferred entrypoint: pnpm test:parallels:windows
  • Use the snapshot closest to pre-openclaw-native-e2e-2026-03-12.
  • Always use prlctl exec --current-user; plain prlctl exec lands in NT AUTHORITY\\SYSTEM.
  • Prefer explicit npm.cmd and openclaw.cmd.
  • Use PowerShell only as the transport with -ExecutionPolicy Bypass, then call the .cmd shims from inside it.
  • Keep onboarding and status output ASCII-clean in logs; fancy punctuation becomes mojibake in current capture paths.

Linux flow

  • Preferred entrypoint: pnpm test:parallels:linux
  • Use the snapshot closest to fresh Ubuntu 24.04.3 ARM64.
  • If that exact VM is missing on the host, fall back to the closest Ubuntu guest with a fresh poweroff snapshot. On Peter's host today, that is Ubuntu 25.10.
  • Use plain prlctl exec; --current-user is not the right transport on this snapshot.
  • Fresh snapshots may be missing curl, and apt-get update can fail on clock skew. Bootstrap with apt-get -o Acquire::Check-Date=false update and install curl ca-certificates.
  • Fresh main tgz smoke still needs the latest-release installer first because the snapshot has no Node or npm before bootstrap.
  • This snapshot does not have a usable systemd --user session; managed daemon install is unsupported.
  • prlctl exec reaps detached Linux child processes on this snapshot, so detached background gateway runs are not trustworthy smoke signals.
  • Treat gateway=skipped-no-detached-linux-gateway plus daemon=systemd-user-unavailable as baseline on that Linux lane, not a regression.

Discord roundtrip

  • Discord roundtrip is optional and should be enabled with:
    • --discord-token-env
    • --discord-guild-id
    • --discord-channel-id
  • Keep the Discord token only in a host env var.
  • Use installed openclaw message send/read, not node openclaw.mjs message ....
  • Set channels.discord.guilds as one JSON object, not dotted config paths with snowflakes.
  • Avoid long prlctl enter or expect-driven Discord config scripts; prefer prlctl exec --current-user /bin/sh -lc ... with short commands.
  • For a narrower macOS-only Discord proof run, the existing parallels-discord-roundtrip skill is the deep-dive companion.

Frequently asked questions

What does the Openclaw Parallels Smoke AI skill do?

End-to-end Parallels smoke, upgrade, and rerun workflow for OpenClaw across macOS, Windows, and Linux guests. Use when Codex needs to run, rerun, debug, or interpret VM-based install, onboarding, gateway smoke tests, latest-release-to-main upgrade checks, fresh snapshot retests, or optional Discord roundtrip verification under Parallels.

Why use Openclaw Parallels Smoke on TypingMind?

Because you install it once and use it with any model. Openclaw Parallels Smoke is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Openclaw Parallels Smoke in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/SafeAI-Lab-X/ClawKeeper/tree/main/legacy/clawkeeper-watcher/.agents/skills/openclaw-parallels-smoke. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Openclaw Parallels Smoke?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Openclaw Parallels Smoke?

As many as you like. As long as a model supports skills, you can use Openclaw Parallels Smoke with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Openclaw Parallels Smoke AI skill free?

It is published on GitHub by SafeAI-Lab-X. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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