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Cockpit Headless Deploy

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jmagly
cockpit-headless-deploy

Guide or repair a headless Linux AIWG Cockpit plus Agentic Sandbox deployment when host topology, SSH access, service persistence, or runtime readiness must be planned safely.

Overview

Publisherjmagly
Repositoryaiwg
Skill namecockpit-headless-deploy
Stars
225
Forks
34
Bundled files
1
LicenseMIT
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.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by jmagly on GitHub. Read the source before you install it.

Installation

Install the Cockpit Headless Deploy 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/jmagly/aiwg/tree/main/agentic/code/addons/agentic-installer/skills/cockpit-headless-deploy
  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/jmagly/aiwg.git /tmp/aiwg
mkdir -p .claude/skills
cp -r /tmp/aiwg/agentic/code/addons/agentic-installer/skills/cockpit-headless-deploy .claude/skills/cockpit-headless-deploy
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Cockpit Headless Deploy 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 Cockpit Headless Deploy 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 Cockpit Headless Deploy 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.

Cockpit Headless Deployment

Own the guided deployment or repair of Cockpit and Agentic Sandbox on a headless Linux host. The canonical installation contract is https://aiwg.io/agentic-sandbox/setup.aiwg.yaml; fetch or locate it, verify its release provenance when acquired remotely, and validate it with aiwg setup-validate before proposing mutation. Do not reproduce its package or installation action contract in this skill, and do not pass this provider-orchestrated manifest to deterministic aiwg setup-run.

Topology gate

Establish three facts separately:

  • the host running Cockpit and its Bridge;
  • the host running Agentic Sandbox;
  • the operator host and its access path to the Bridge.

If the executor host is neither proven equal to nor explicitly different from the Cockpit host, stop before mutation and ask exactly one question:

Will Agentic Sandbox run on the Cockpit host <host>, or a different host?

After the answer, record same-host or cross-host. Model operator-to-Bridge access separately from Bridge-to-executor transport. A cross-host deployment requires an explicit trusted transport plan; never infer a forward from an ambiguous hostname.

Preview and authorization

Run the bundled planner after manifest validation:

bash
aiwg run skill cockpit-headless-deploy -- plan \
  --manifest setup.aiwg.yaml \
  --cockpit-host <host> \
  --executor-host <host> \
  --operator-host <host>

Review its value-free preview of packages (owned by the manifest), services, ports, runtime tiers, mounts, egress, persistence, and cleanup. All application listeners default to 127.0.0.1. Require explicit operator authorization immediately before packages, services, tunnels, mounts, or host policy change. Preserve dirty source checkouts; prefer verified release packages or a clean clone. Do not replace or clean an existing checkout to make deployment easier.

Deployment

Apply the validated SetupManifest through the provider-orchestrated installer handoff. Use stage only to materialize the value-free user-service plan and attempt ledger inside an explicitly chosen staging root; review those files before installing them as user units. Host and Docker readiness are independent requirements. Claim VM readiness only when KVM evidence exists.

Keep Cockpit/Bridge and executor listeners on loopback. For cross-host topologies, bind both applications locally and add only the reviewed transport between the declared endpoints. Order the Cockpit user unit after the executor unit when they share a host, enable only the created units, and record every created or changed resource in the attempt ledger.

Verification and rollback

Run aiwg cockpit doctor with the declared topology and hosts. Do not report success until its package, Bridge, real-executor, host, Docker, listener, and persistence rows meet the selected runtime plan. A VM row may remain a warning when VM isolation was not selected.

On failure, restore only resources marked as created or changed by this attempt. The bundled rollback command removes only ledger-owned staged files; it refuses paths outside the recorded staging root. Never perform generic container, image, VM, worktree, package-cache, or data-directory cleanup.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Cockpit Headless Deploy AI skill do?

Guide or repair a headless Linux AIWG Cockpit plus Agentic Sandbox deployment when host topology, SSH access, service persistence, or runtime readiness must be planned safely.

Why use Cockpit Headless Deploy on TypingMind?

Because you install it once and use it with any model. Cockpit Headless Deploy 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 Cockpit Headless Deploy in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/jmagly/aiwg/tree/main/agentic/code/addons/agentic-installer/skills/cockpit-headless-deploy. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Cockpit Headless Deploy?

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 Cockpit Headless Deploy?

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

Is the Cockpit Headless Deploy AI skill free?

Yes. It is published on GitHub by jmagly under the MIT license. 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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