Grok Build Cli logo

Grok Build Cli

CommunityPopular
Pluviobyte
grok-build-cli

Invoke the locally installed Grok Build CLI from Codex and return Grok's response. Use whenever the user asks Codex to call, consult, run, or delegate a prompt to Grok or Grok Build, including Grok web/X searches and agentic Grok tasks. This Skill covers only the invocation mechanism, process monitoring, and response capture; it does not prescribe the task itself.

Overview

PublisherPluviobyte
Repositoryrnskill
Skill namegrok-build-cli
Stars
1.6K
Forks
181
Bundled files
1
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 Pluviobyte on GitHub. Read the source before you install it.

Installation

Install the Grok Build Cli 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.
  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/Pluviobyte/rnskill.git /tmp/rnskill
mkdir -p .claude/skills
cp -r /tmp/rnskill/skills/grok-build-cli .claude/skills/grok-build-cli
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Grok Build Cli 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 Build Cli 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 Build Cli 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.

Call Grok Build

Call the local grok CLI from Codex. Do not add an unrelated research, download, editing, or production workflow.

Check availability

Before the first call in a task, run:

bash
command -v grok
grok models

grok models must confirm that the user is logged in and show at least one available model. If authentication is missing, report it and run grok login only when the user wants to authenticate interactively.

Choose the call form

For a direct single-turn answer that does not need Grok tools:

bash
grok --single 'PROMPT' --output-format plain

For an agentic task that may use Grok's tools, including X or web search, put the full prompt in a UTF-8 file and run:

bash
grok --prompt-file '/absolute/path/prompt.md' \
  --max-turns 8 \
  --output-format plain

Use --model MODEL only when the user requests a particular available model. Otherwise use Grok's configured default.

Run from Codex

  1. For a long prompt, create prompt.md with apply_patch; avoid fragile shell quoting.
  2. Start Grok with exec_command, normally using yield_time_ms: 1000.
  3. If the command returns a session ID, poll it with write_stdin, sending an empty string and waiting at most 30 seconds per poll.
  4. Share a concise progress update when a call runs longer than 60 seconds.
  5. Capture Grok's final stdout. Treat a nonzero exit code, Max turns reached, or empty final output as failure.
  6. Return Grok's answer to the user, clearly identified as Grok's result when attribution matters.

Isolation

When Grok should only execute the supplied prompt and must not inspect the current repository's skills or instructions, give it an empty temporary working directory:

bash
GROK_CALL_DIR="$(mktemp -d)"
grok --cwd "$GROK_CALL_DIR" --no-memory --no-subagents \
  --prompt-file '/absolute/path/prompt.md' \
  --max-turns 8 \
  --output-format plain

Use this isolation by default for web/X research and independent second opinions. Use the actual project directory only when Grok must read or modify that project.

Guardrails

  • Do not claim Grok was called unless the CLI actually ran.
  • Do not fabricate, paraphrase as successful, or silently replace an empty or failed Grok response.
  • Do not pass secrets in prompts or command-line arguments.
  • Do not use --always-approve, bypassPermissions, or broad write access unless the user explicitly authorizes the corresponding mutations.
  • Do not resume an unrelated prior Grok session. Start a new call unless the user explicitly asks to continue a specific Grok session.
  • Keep this Skill task-agnostic: the user's prompt determines what Grok does.

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 Grok Build Cli AI skill do?

Invoke the locally installed Grok Build CLI from Codex and return Grok's response. Use whenever the user asks Codex to call, consult, run, or delegate a prompt to Grok or Grok Build, including Grok web/X searches and agentic Grok tasks. This Skill covers only the invocation mechanism, process monitoring, and response capture; it does not prescribe the task itself.

Why use Grok Build Cli on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Pluviobyte/rnskill/tree/main/skills/grok-build-cli. 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 Grok Build Cli?

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 Build Cli?

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

Is the Grok Build Cli AI skill free?

It is published on GitHub by Pluviobyte. 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.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇