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Crack Setup

Community
ethanplusai
crack-setup

Configure or change the approved worker models for codex-on-crack, inspect available models and compatibility, preview role files, or undo a setup. The user selects the lead in Codex. Setup preserves root settings, credentials, unrelated agents, and config.toml.

Overview

Publisherethanplusai
Repositorycodex-on-crack
Skill namecrack-setup
Stars
752
Forks
73
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 ethanplusai on GitHub. Read the source before you install it.

Installation

Install the Crack Setup 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/ethanplusai/codex-on-crack/tree/main/plugins/codex-on-crack/skills/crack-setup
  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/ethanplusai/codex-on-crack.git /tmp/codex-on-crack
mkdir -p .claude/skills
cp -r /tmp/codex-on-crack/plugins/codex-on-crack/skills/crack-setup .claude/skills/crack-setup
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Crack Setup 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 Crack Setup 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 Crack Setup 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.

Choose workers; preserve the lead

Helpers live in ../crack/scripts/. Keep the user's existing model/provider choices. Installing skills alone does not configure workers or change the lead.

  1. Run node ../crack/scripts/setup.mjs scan with the session's home/profile. Show relevant eligible models, efforts, image support, context, and exclusions. Catalog presence is not account access or a working provider route. Do not rank capabilities the catalog does not establish or invent prices.
  2. Read an existing crack.toml before proposing changes. Start with one builder chosen by the user. Additional roles can map to implementation, ui, review, research, or tests with a tasks array. These are user preferences, not demonstrated model strengths. Set the exact model and a supported effort; keep fallback optional. Never change the selected lead to make setup pass.
  3. Write a draft in a task-owned directory. Preview with node ../crack/scripts/setup.mjs plan --roles DRAFT and show the concrete model/effort and file changes. Apply the agreed configuration with node ../crack/scripts/setup.mjs apply --roles DRAFT. If the specific model choices or global writes aren't yet authorized, obtain that decision after producing the preview. Don't repeat approval already given for those choices.
  4. Return the receipt path and explain that a fresh client session must load the generated native roles. Run doctor.mjs; then use a real authorized task to verify child metadata. No paid installation smoke test is needed.

Draft shape (replace the model with an exact eligible ID):

toml
schema_version = 1
[roles.builder]
model = "MODEL_FROM_SCAN"
writes = true
tasks = ["implementation", "tests"]
brief = "Implements the scoped task and verifies it for lead review."

Role names use lowercase letters/digits/underscores and cannot end _fallback. Read-only roles set writes = false. Use capability/route checks, not a model's brand, to determine whether a proposed setup is compatible. A model recommendation does not grant permission to share private source with a new provider.

The current adapter conservatively checks the inherited parent provider. Native-model and Router-model catalog entries may both exist without a compatible mixed-provider session. Stop and explain an incompatible route; do not rewrite endpoints, credentials, or permissions. Custom-role model settings take precedence over a spawn override, so verify the role actually names the selected model.

Default to no global policy during initial setup. If an old orchestrator policy is active, explain the conflict and use an authorized --migrate-legacy preview rather than leaving both workflows active. This backs up/removes only its marked policy block; old role and skill files remain. Do not migrate merely to inspect or compare the packages.

Use --profile consistently; setup records profile/catalog for future checks. An offline --model-catalog can supply metadata only when it does not conflict with the configured catalog. Setup never refreshes a provider or reads credentials. Undo previews with setup.mjs undo --receipt PATH; --apply restores only when no later edits would be overwritten. Preserve receipts and hand-edited files.

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 Crack Setup AI skill do?

Configure or change the approved worker models for codex-on-crack, inspect available models and compatibility, preview role files, or undo a setup. The user selects the lead in Codex. Setup preserves root settings, credentials, unrelated agents, and config.toml.

Why use Crack Setup on TypingMind?

Because you install it once and use it with any model. Crack Setup 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 Crack Setup in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ethanplusai/codex-on-crack/tree/main/plugins/codex-on-crack/skills/crack-setup. 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 Crack Setup?

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 Crack Setup?

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

Is the Crack Setup AI skill free?

Yes. It is published on GitHub by ethanplusai 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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