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Grok Cli

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carson2222
grok-cli

Run Grok CLI headless for real-time X/Twitter and news research. Use when the user says "use grok", "ask grok", "dig into twitter/x", "latest on...", or when fresh data past the training cutoff is needed.

Overview

Publishercarson2222
Repositoryskills
Skill namegrok-cli
Stars
112
Forks
4
Bundled files
Instructions only
LicenseApache-2.0
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 carson2222 on GitHub. Read the source before you install it.

Installation

Install the Grok 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.
    https://github.com/carson2222/skills/tree/main/grok-cli
  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/carson2222/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/grok-cli .claude/skills/grok-cli
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Grok 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 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 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.

grok-cli — fresh info via the Grok CLI

grok is xAI's installed CLI (~/.grok/bin/grok, already authenticated). Use it as a sub-agent to fetch real-time info: X/Twitter chatter and news beyond this model's knowledge. It is slow but live.

Do this immediately

When this skill triggers, run the command right away. Do not run --help, --version, which grok, or any discovery — it works, the recipe below is verified.

The one command (copy, fill the prompt)

bash
grok -p "<your question>" -m grok-build --yolo --max-turns 8 --disallowed-tools web_fetch --output-format json | jq -r '.text'

That is the whole interface. Only the <your question> changes.

  • -m grok-build uses the Grok model (not the composer model).
  • --yolo auto-approves grok's tools (required headless, or it hangs).
  • --disallowed-tools web_fetch forces grok onto web_search (xAI live search). This is the key fix: with web_fetch enabled grok loops on X/news URLs and never returns.
  • --max-turns 8 caps it so it can't loop forever.
  • jq -r '.text' returns just the answer. Drop | jq ... if jq is missing and read the JSON text field yourself.

Timing (important)

A live search takes ~1–3 minutes. Set the Bash timeout to 300000 ms (5 min) and wait. Do not assume it failed. If you may keep working meanwhile, run it in the background and poll later.

Prompt templates

Dig deep into X/Twitter — be explicit, ask for specifics:

bash
grok -p "Search X/Twitter for the latest discussion about <TOPIC> (last 24-72h). Surface 5-8 specific posts: @handle, a one-line summary, and the post URL. Quote standout lines. Then give prevailing sentiment, the most influential accounts driving it, and any emerging angle. Be specific, no filler." \
  -m grok-build --yolo --max-turns 10 --disallowed-tools web_fetch --output-format json | jq -r '.text'

News / live web research:

bash
grok -p "What's the latest on <TOPIC> as of this week? Give 3-5 key developments, each one line with a source link, then a 2-sentence takeaway." \
  -m grok-build --yolo --max-turns 8 --disallowed-tools web_fetch --output-format json | jq -r '.text'

Good prompting

  • Ask for concrete output: handles, URLs, quotes, dates, sentiment — not vague summaries.
  • State the time window ("last 48h", "this week").
  • One focused question per call. For a different angle, make a second call.
  • Keep <your question> as a single double-quoted string; escape inner quotes or use single quotes inside.

Follow-ups (same grok session)

Capture the session id, then continue for cheaper, context-aware follow-ups:

bash
SID=$(grok -p "<first question>" -m grok-build --yolo --max-turns 8 --disallowed-tools web_fetch --output-format json | jq -r '.sessionId')
grok -p "<follow-up>" --resume "$SID" -m grok-build --yolo --max-turns 8 --disallowed-tools web_fetch --output-format json | jq -r '.text'

After you get results

Treat grok's output as a fresh source: summarize it for the user and keep the source links/@handles so they can verify. Note it's live data (may be noisy or unverified). If it returns empty or errors, retry once with a tighter prompt or a longer timeout before giving up.

Notes

  • This skill uses -m grok-build (the Grok model). grok-composer-2.5-fast is the CLI default but the composer model is not what we want here.
  • For richer general web research (not X-specific), prefer the existing Exa tooling per global rules; reach for grok when you specifically want X/Twitter or want xAI's live take.
  • Requires the grok CLI installed and authenticated (curl -fsSL https://x.ai/cli/install.sh | bash, then grok login) and jq on PATH.

Frequently asked questions

What does the Grok Cli AI skill do?

Run Grok CLI headless for real-time X/Twitter and news research. Use when the user says "use grok", "ask grok", "dig into twitter/x", "latest on...", or when fresh data past the training cutoff is needed.

Why use Grok Cli on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/carson2222/skills/tree/main/grok-cli. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Grok 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 Cli?

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

Is the Grok Cli AI skill free?

Yes. It is published on GitHub by carson2222 under the Apache-2.0 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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