Grok Agents logo

Grok Agents

Community
phuryn
grok-agents

'Ask Grok', 'have Grok build or review this': drive the Grok CLI headless from another agent as a peer, builder or fresh reviewer.

Overview

Publisherphuryn
Repositoryproduct-engineering
Skill namegrok-agents
Stars
189
Forks
27
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 phuryn on GitHub. Read the source before you install it.

Installation

Install the Grok Agents 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/phuryn/product-engineering/tree/main/agent-teams/skills/grok-agents
  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/phuryn/product-engineering.git /tmp/product-engineering
mkdir -p .claude/skills
cp -r /tmp/product-engineering/agent-teams/skills/grok-agents .claude/skills/grok-agents
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Grok Agents 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 Agents 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 Agents 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 agents — the Grok CLI headless as a partner

Any agent can run the Grok CLI non-interactively and get a full Grok session back: its tools, the repository's instructions where Grok reads them, a session that can be continued. Used that way it is a partner from another model family, same standing as the agent calling it: a peer that argues a decision through, a builder that takes a stage, or a reviewer that has never seen the build. This skill is how to brief it, which mode to run it in, and the commands. Everything here was read from grok --help and run on Grok CLI 1.0.70 (2026-11-02) unless it says otherwise; the CLI changes often, so check grok --help before relying on a flag.

The partner discipline (compact)

The full doctrine is the delegation skill; this is what must hold even when this folder is copied alone.

  1. A delegate gets the why, not just the what. The goal in the owner's terms, the decision it feeds, the facts, the reasoning behind non-obvious choices, the constraints that bind and the traps a smart newcomer would walk into, and how the result will be proved. Never a keystroke script.
  2. Peer, not tool. Its view is not binding, and neither is yours. A choice you would not have made is a disagreement to surface, not a defect.
  3. Early, not late, and iterate. The cheapest wins are at framing; three to eight turns is normal.
  4. Converge before surfacing. Bring the human one result, or a disagreement stated cleanly.
  5. A delegated diff is unreviewed code, and the session that wrote it never clears it. Read it, check the disk, re-run the gate yourself; the independent review is a fresh session (the independent-review skill).
  6. What never delegates: deciding what the product should do; accepting or rejecting a review finding; anything that touches a real system, development included (a deploy, a migration applied to any database, a server's secrets, a live setting); final verification; the judgement that a stage is done.

Three modes

ModeWhat it is forToolsSession
Peera decision argued through, a draft pushed on, a framing checkedread-only: --tools read_file,grep,list_dir, no shell, no editscontinued with --resume <id>
Buildera stage with a goal, its binding decisions and how to prove itevery tool, approved: --always-approve, in a worktree of its owncontinued within the stage
Reviewerfresh eyes on a changeread-only, isolated from memory and other tools' settings (§ Reviewer)always new

Every mode shares four rules, each from a run that went wrong:

  • The prompt goes in a file: --prompt-file <brief>, never an inline -p "…". A long prompt inline trips the calling agent's permission classifier and the call is refused.
  • --cwd <repo> on every call, so the session works in the repository you mean, and < /dev/null, because a CLI with an open stdin waits for input forever. A bare grok with no prompt flag opens the interactive screen and hangs with no output.
  • Read the output format you asked for. --output-format json returns one object with text, stopReason, sessionId, num_turns and usage, which is what a calling agent wants; plain is the text alone.
  • Effort and model are stated. --reasoning-effort xhigh for anything that needs judgement; the CLI's default is lower. grok models lists the models and the default (grok-4.7 on 2026-11-02); -m <id> pins one.

Peer

bash
SID=$(python -c "import uuid; print(uuid.uuid4())")       # name the session yourself
grok --prompt-file "$S/turn-1.md" --cwd <repo> --session-id "$SID" \
     --tools read_file,grep,list_dir --disallowed-tools search_tool,use_tool \
     --deny MCPTool --deny Bash --deny Edit --deny Write --disable-web-search \
     --always-approve --reasoning-effort xhigh --output-format json < /dev/null > "$S/turn-1.json"
# the next turn continues it: every flag again, --resume in place of --session-id
grok --resume "$SID" --prompt-file "$S/turn-2.md" --cwd <repo> \
     --tools read_file,grep,list_dir --disallowed-tools search_tool,use_tool \
     --deny MCPTool --deny Bash --deny Edit --deny Write --disable-web-search \
     --always-approve --reasoning-effort xhigh --output-format json < /dev/null > "$S/turn-2.json"
  • --session-id <uuid> names the session, and --resume <uuid> continues it with its context (2026-11-02: a word given in the first turn came back from the second). Keep the id in a file beside the brief; -c continues the most recent session in the directory, which is whatever ran there last, so don't rely on it.
  • --always-approve is what lets it read at all. Without it Grok can't approve its own file reads, and it exits 0 after a sentence of preamble, which reads like an answer. With the read-only allowlist above, approving everything approves only reading.
  • In peer mode Grok reads what you read: in a folder it trusts, the project's own instruction files and the skills its Claude compatibility finds load too (grok inspect lists them). That is the point for a peer, and the reason the reviewer turns it off.

Builder

bash
grok --prompt-file "$S/stage-brief.md" --cwd <worktree> --session-id "$SID" \
     --always-approve --deny MCPTool --disable-web-search \
     --reasoning-effort xhigh --output-format json < /dev/null > "$S/build-1.json"
  • --always-approve approves every tool call, the shell included. So the builder works in a git worktree of its own, never the tree you are editing, and its brief keeps every real system out: no pushes, no deploys, no migrations, no secrets (§ The partner discipline, 6). --deny MCPTool keeps it off the MCP servers this machine has connected, a database's included.
  • Check the disk before believing a run happened: git status, the files it names. A run that couldn't write returns a reasoned report that reads exactly like one that did.
  • --sandbox <profile> is not a write boundary: it enforces only on platforms that support it (2026-10-10, on Windows a sandboxed run still created a file).
  • This mode's command is from grok --help, 1.0.70; it was not yet run end to end when this was written (2026-11-02: the calling agent's safety classifier refused a fully approved Grok session on the author's machine). Run a small build first and read the disk.

Reviewer

A review round's discipline (what it covers, the brief, triage, when to stop) is the independent-review skill's, and its wrapper runs Grok this way by default. The bare call, so the flags are understood rather than remembered (the wrapper also sets the turn cap and writes the subject, the range's log and diffs, to a file the reviewer can read, since it has no shell):

bash
GROK_MEMORY=0 GROK_MANAGED_MCPS_ENABLED=false GROK_MANAGED_MCP_GATEWAY_TOOLS_ENABLED=false \
GROK_CODEX_SESSIONS_ENABLED=false <and GROK_{CLAUDE,CURSOR}_{AGENTS,RULES,SKILLS,HOOKS,MCPS,SESSIONS}_ENABLED=false> \
grok --prompt-file "$S/review-NNN-brief.md" --cwd <repo> \
     --reasoning-effort xhigh \
     --tools read_file,grep,list_dir --disallowed-tools search_tool,use_tool \
     --deny MCPTool --deny Bash --deny Edit --deny Write --disable-web-search \
     --always-approve \
     --output-format plain < /dev/null > "$S/review-NNN.md" 2>&1

Every part is load-bearing:

  • The environment variables switch off, for this process, Grok's memory, its managed MCP servers and gateway tools, its reading of Codex sessions, and every Claude and Cursor compatibility cell (their instructions, rules, skills, hooks, MCP servers and sessions). The environment wins over Grok's config file (measured with grok inspect --json on 1.0.70, 2026-10-30: all 13 cells off). What still loads, grok inspect --json run with the same variables lists: in a folder Grok trusts that includes the project's own instruction files, a gitignored CLAUDE.local.md among them. Name it in the round's report.
  • --always-approve or the round doesn't happen: without it, an exit 0 after a sentence of preamble, which reads as "found nothing" (2026-09-08). The tell is length, and it is the only tell: a genuinely empty round still argues its way there over paragraphs.
  • --tools read_file,grep,list_dir is the write boundary: an allowlist, so a review can't edit the tree it is scoring. Not --sandbox read-only, and not a denylist such as --disallowed-tools edit,write, which leaves the shell and the edit tool in place (2026-10-10, on Windows: those two flags together still let a round create a file; the allowlist did not). With no shell the reviewer can't run git, which is why the subject goes on disk first.
  • --disallowed-tools search_tool,use_tool, the --deny rules and --disable-web-search close what the allowlist leaves open: --tools covers built-in tools only, so the MCP meta-tools stay, and through them every connected MCP server. --disallowed-tools wins over --tools, and a deny rule wins over --always-approve (2026-10-10: asked to write, call MCP tools and run a shell, a round with these flags did none of them).
  • Always a new session, never --resume or --fork-session of the thread that built the code: the reviewer must not inherit what the builder believes.
  • A round can fail by running out of room, leaving the same short output. Size the subject to a build stage, and keep findings emitted before a failure.

Accounts and sign-in

  • grok login --device-auth signs in without a browser on this machine: the CLI prints a link and a code, and whoever owns the account approves on any device. An agent can start it and relay the link and code to an owner who is away from the machine (2026-10-31, an evals product signed its reviewer in this way). Never paste the resulting credentials anywhere.
  • A signed-in CLI can still be out of credit. It answers 402 usage balance exhausted and stops (2026-10-31). In a review round the independent-review wrapper exits 3 and prints the same round for the fallback reviewer; in peer or builder mode, wait for the reset, or do the work yourself, and say so.
  • grok usage prints a session's persisted token and cost usage; grok sessions list lists recent sessions with their ids.

How you can tell it worked

The answer came from a session that started with only your brief and was run with the flags its mode needs, its exit code and output were read from the run itself, a resumed turn named the session it continued, and anything it built was on disk and reviewed before it was trusted.

Not this skill

The review loop, with its wrapper, is the independent-review skill. Driving Claude Code or Codex the same way is claude-agents and codex-agents; how to brief and verify any delegate is delegation.

Frequently asked questions

What does the Grok Agents AI skill do?

'Ask Grok', 'have Grok build or review this': drive the Grok CLI headless from another agent as a peer, builder or fresh reviewer.

Why use Grok Agents on TypingMind?

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

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

Which AI models can use Grok Agents?

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 Agents?

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

Is the Grok Agents AI skill free?

Yes. It is published on GitHub by phuryn 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.

View all

Set up your own AI workspace now

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