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Grok

Organization
aigorahub
grok

Run a bounded-permission headless Grok Build task. Use when the user types /grok or asks Grok Build to execute instructions.

Overview

Publisheraigorahub
Repositoryelves
Skill namegrok
Stars
221
Forks
15
Bundled files
Instructions only
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.

  • Self-contained

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

  • Open source

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

Installation

Install the Grok 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/aigorahub/elves/tree/main/aliases/claude/grok
  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/aigorahub/elves.git /tmp/elves
mkdir -p .claude/skills
cp -r /tmp/elves/aliases/claude/grok .claude/skills/grok
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Grok 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 Grok 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 Grok 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.

Grok Build Shortcut

This is the Elves-managed Claude Code alias for /grok <instructions>.

Load the installed elves skill's Provider shortcut protocols and references/provider-shortcuts.md. Resolve scripts/run_grok.sh from the active Elves skill root, keep the target repository as the working directory, validate the instructions and CLI, and run it. Preserve the runner's headless non-bypass permission posture and its high reasoning default; do not invent a model id or turn this shortcut into an Elves main-driver route. The runner builds argv from the flags the installed Grok Build CLI advertises: an absent safety flag (isolated --cwd, inner --sandbox strict, headless --single, --output-format, explicit reasoning effort) fails closed, while a quality flag the installed version dropped is simply not passed. Auto-update is disabled through the isolated [cli] auto_update config key rather than a removed flag. Reasoning effort defaults to high; ELVES_GROK_EFFORT selects low, medium, high, or xhigh, and ELVES_GROK_MODEL pins a model only when the authenticated live catalog lists it. The runner reports the CLI version, effort, model, the authentication route the CLI itself names, and any omitted flags. On a host that cannot nest sandboxes (macOS Seatbelt refuses a second profile inside Elves' required outer sandbox-exec boundary), the runner fails closed with grok_inner_sandbox_unavailable before it builds a snapshot, rather than launching with the inner profile silently missing. Elves does not drop the inner profile to make a launch succeed, and the outer boundary is not optional; use a Linux host with the bwrap backend or select another review route. The Linux boundary omits procfs and has no /proc view; it does not receive Fugu's synthetic Codex /proc/self/exe link.

Read-only review snapshots omit oversized binary media instead of failing the whole review. Video, audio, presentation, archive, image, font, and 3D binaries above the per-file limit are left out and listed in the context manifest with path, byte size, and reason; the 16 MiB per-file limit is not raised. Source, prose instructions, executable agent configuration, and --include paths still fail closed and ask for a derived text, image, or transcript artifact.

Grok is an optional review route, like Fugu. On any non-zero exit the runner prints one directive line naming the reason (quota, authentication, catalog, runner, timeout, or provider). Select another available independent reviewer instead of stopping, record requested route, actual route, and fallback reason, and do not claim a review ran when it did not: python3 "$ELVES_SKILL_ROOT/scripts/cobbler_agents.py" review-route --host claude-code --requested grok --unavailable grok=<reason> --json.

Frequently asked questions

What does the Grok AI skill do?

Run a bounded-permission headless Grok Build task. Use when the user types /grok or asks Grok Build to execute instructions.

Why use Grok on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/aigorahub/elves/tree/main/aliases/claude/grok. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Grok?

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 Grok?

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

Is the Grok AI skill free?

Yes. It is published on GitHub by aigorahub 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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