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Mmx Cli

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Immortalqx
mmx-cli

Operate the local MiniMax CLI (`mmx`) from Codex for web search, vision, image / video / speech / music generation, quota inspection, and MiniMax file operations. `mmx text chat` is forbidden — Codex is the text generator.

Overview

PublisherImmortalqx
Repositorymy_codex_skills
Skill namemmx-cli
Stars
56
Forks
0
Bundled files
3
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.

  • 3 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

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

Installation

Install the Mmx 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/Immortalqx/my_codex_skills/tree/main/mmx-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/Immortalqx/my_codex_skills.git /tmp/my_codex_skills
mkdir -p .claude/skills
cp -r /tmp/my_codex_skills/mmx-cli .claude/skills/mmx-cli
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Mmx 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 Mmx 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 Mmx 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.

MiniMax CLI

Target request: $ARGUMENTS

Overview

Operate the already-installed local mmx command as the execution surface for MiniMax tasks. Keep the main flow focused on doing the user`s task, not on teaching the CLI.

Load references/setup-notes.md only when the user explicitly asks about installation, authentication, configuration, or schema export.

Hard Constraints

These rules are absolute. There are no exceptions driven by user phrasing.

  1. mmx text chat is forbidden, in every situation. Do not invoke it for chat, completion, translation, summarization, rewriting, coding help, or any other text task. Codex itself is the text generator. This includes "user asked for a poem" — answer it in your own reply, do not shell out to mmx.
  2. Default command is mmx search query. If the user has not asked for anything more specific and web research will help, this is the only mmx command you may run by default.
  3. Every other generation command is opt-in. image generate, video generate, speech synthesize, music generate, music cover, and vision describe may only run when the user explicitly asks for them in the current message. Phrasing like "make me a picture" or "generate an image" without naming mmx is not explicit — ask the user to confirm or have them paste the exact command they want.
  4. quota show, auth *, config *, update may be used for housekeeping as needed (e.g. checking auth before a generation call). They do not consume creative quota and are not subject to the explicit-ask rule.
  5. Search-quality rules are in references/search-playbook.md and apply whenever mmx search query runs.

If a request could be served by your own reasoning (most prose, code, analysis), do it directly. Reach for mmx search only when the answer must come from the live web; reach for the other generation commands only when explicitly authorized.

text chat — DISABLED

This command is forbidden by the "Hard Constraints" section above. Do not invoke mmx text chat under any circumstances — not for chat, completion, translation, summary, or any other text task. Codex itself is the text generator.

The reference below is kept only so the command and its flags remain discoverable. Nothing here is runnable.

Chat completion. Default model: MiniMax-M2.7.

bash
mmx text chat --message <text> [flags]
FlagTypeDescription
--message <text>string, required, repeatableMessage text. Prefix with role: to set role (e.g. "system:You are helpful", "user:Hello")
--messages-file <path>stringJSON file with messages array. Use - for stdin
--system <text>stringSystem prompt
--model <model>stringModel ID (default: MiniMax-M2.7)
--max-tokens <n>numberMax tokens (default: 4096)
--temperature <n>numberSampling temperature (0.0, 1.0]
--top-p <n>numberNucleus sampling threshold
--streambooleanStream tokens (default: on in TTY)
--tool <json-or-path>string, repeatableTool definition JSON or file path
bash
# Single message
mmx text chat --message "user:What is MiniMax?" --output json --quiet

# Multi-turn
mmx text chat \
  --system "You are a coding assistant." \
  --message "user:Write fizzbuzz in Python" \
  --output json

# From file
cat conversation.json | mmx text chat --messages-file - --output json

stdout: response text (text mode) or full response object (json mode).

Execution Workflow

  1. Determine the narrowest mmx command that fits the task: search query, vision describe, image generate, video generate, speech synthesize, music generate, music cover, quota show, or file operations. (text chat is disabled — see Hard Constraints.)
  2. Verify runtime readiness with mmx --version or mmx auth status --output json --quiet --non-interactive.
  3. Run the command with agent-safe defaults first.
  4. Save generated artifacts with explicit workspace-local output paths.
  5. Verify the returned JSON, task IDs, URLs, or files before reporting success.

Agent Defaults

Use these flags by default in agent mode:

  • --non-interactive
  • --quiet
  • --output json when machine-readable output helps

Add these selectively:

  • --dry-run before an expensive or ambiguous request
  • --async for long-running video generation
  • explicit output path flags such as --out, --out-dir, or --download for binary artifacts

Search Policy

When using mmx search query, default to mixed Chinese + English and multiple search passes. Do not answer from a single query unless the task is trivial.

For any non-trivial search:

  1. Run at least one English technical query.
  2. Run at least one Chinese query for the same concept.
  3. Run at least one mixed-language query that combines Chinese topic words with canonical English names, abbreviations, model names, venue names, or product terms.
  4. If the topic is recent, ambiguous, or sparse, add more passes with synonyms, recency words, or source-specific filters in the query string.
  5. Compare results across the query set before answering.
  6. Prefer citing URLs and titles from JSON output instead of paraphrasing from memory.

Read references/search-playbook.md when query design matters.

Command Patterns

Prefer short, task-shaped commands:

bash
mmx search query --q "embodied navigation world model benchmark" --output json --quiet --non-interactive
mmx vision describe --image figure.png --prompt "Explain the key takeaway." --output json --quiet --non-interactive
mmx auth status --output json --quiet --non-interactive

Use explicit workspace-local output paths for generated artifacts:

bash
mmx image generate --prompt "..." --out-dir .\\outputs --quiet --non-interactive
mmx speech synthesize --text "..." --out .\\outputs\\sample.mp3 --quiet --non-interactive
mmx video generate --prompt "..." --download .\\outputs\\clip.mp4 --quiet --non-interactive

Preview expensive or ambiguous generation first:

bash
mmx image generate --prompt "..." --dry-run --output json --quiet --non-interactive

Track async video tasks through video task get and video download before treating the job as complete.

Failure Handling

  • Report missing mmx, failed auth, or quota blockers directly.
  • Broaden weak search runs with bilingual synonyms and additional passes.
  • Prefer --dry-run or --async before committing to expensive generation.
  • Perform the required follow-up step when a command returns only task IDs, file IDs, or URLs instead of a finished local artifact.

References

Load these only when needed:

  • references/setup-notes.md for installation, auth, config, and schema export
  • references/search-playbook.md for concrete bilingual multi-search patterns

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 Mmx Cli AI skill do?

Operate the local MiniMax CLI (`mmx`) from Codex for web search, vision, image / video / speech / music generation, quota inspection, and MiniMax file operations. `mmx text chat` is forbidden — Codex is the text generator.

Why use Mmx Cli on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Immortalqx/my_codex_skills/tree/main/mmx-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 Mmx 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 Mmx Cli?

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

Is the Mmx Cli AI skill free?

Yes. It is published on GitHub by Immortalqx 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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