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Minimax-Multimodal-Toolkit

v1.0.2

Use mmx to generate text, images, video, speech, and music via the MiniMax AI platform. Use when the user wants to create media content, chat with MiniMax mo...

17· 3.5k·18 current·19 all-time
byMiniMax-AI@minimax-ai-dev

Install

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Install with OpenClaw

Best for remote or guided setup. Copy the exact prompt, then paste it into OpenClaw for minimax-ai-dev/minimax-multimodal.

Previewing Install & Setup.
Prompt PreviewInstall & Setup
Install the skill "Minimax-Multimodal-Toolkit" (minimax-ai-dev/minimax-multimodal) from ClawHub.
Skill page: https://clawhub.ai/minimax-ai-dev/minimax-multimodal
Keep the work scoped to this skill only.
After install, inspect the skill metadata and help me finish setup.
Use only the metadata you can verify from ClawHub; do not invent missing requirements.
Ask before making any broader environment changes.

Command Line

CLI Commands

Use the direct CLI path if you want to install manually and keep every step visible.

OpenClaw CLI

Bare skill slug

openclaw skills install minimax-multimodal

ClawHub CLI

Package manager switcher

npx clawhub@latest install minimax-multimodal
Security Scan
Capability signals
Crypto
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medium confidence
Purpose & Capability
The name/description (generate text/images/video/speech/music via MiniMax) aligns with the runtime instructions: commands, flags, and examples all describe a multipurpose MiniMax CLI. No unrelated service or capability is requested.
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Instruction Scope
The SKILL.md instructs the agent/user to run 'npm install -g mmx-cli' and to authenticate with an API key (mmx auth login --api-key sk-xxxxx) which will be persisted to ~/.mmx/credentials.json. The registry metadata lists no required env vars or config paths, so the instructions require storing credentials and potentially reading/writing files that were not declared. The CLI also accepts file inputs (e.g., --messages-file, --text-file, --first-frame) and callback URLs for async video tasks; these allow reading local files or transmitting data to arbitrary endpoints, which is expected for a CLI but increases the attack/exfiltration surface if the skill is invoked with untrusted inputs.
Install Mechanism
There is no install spec in the registry (instruction-only), which is low risk from the skill bundle perspective. However, the guide tells the agent to perform a global npm install (npm install -g mmx-cli). Global npm installs modify the host and pull code from the npm registry (moderate risk); the skill metadata does not document or pin a package source. Users should verify the npm package's origin before running it.
!
Credentials
Registry metadata declares no required env vars or primary credential, but the instructions clearly require an API key (sk-xxxxx) and describe persisting it to ~/.mmx/credentials.json. This is a mismatch: a secret is necessary for normal use but was not declared. The CLI also permits supplying callback URLs and reading file paths, increasing the potential for sensitive-data transmission if misused.
!
Persistence & Privilege
The skill itself is not 'always' present and is user-invocable (normal). However, the recommended 'mmx auth login' will persist credentials to the user's home (~/.mmx/credentials.json), creating durable secrets on disk that the agent (or other processes) could access. The registry metadata did not declare this config path or credential persistence, creating a transparency gap.
What to consider before installing
This skill appears to be a CLI usage guide for the MiniMax 'mmx' tool and is plausibly what it claims, but it has an important mismatch: the SKILL.md expects an API key and persistence to ~/.mmx/credentials.json, while the registry metadata declares no required credentials or config paths. Before installing or using this skill: 1) Verify the skill's origin and the npm package 'mmx-cli' on the npm registry/GitHub — prefer official project pages and pinned releases. 2) Prefer per-call --api-key usage rather than running 'mmx auth login' if you don't want credentials persisted; inspect ~/.mmx/credentials.json and its file permissions if you do authenticate. 3) Avoid running 'npm install -g' on unverified packages; consider installing in an isolated container or virtual environment. 4) Be cautious with callback URLs and file arguments (they can exfiltrate content) and never supply sensitive local file paths unless you trust the target. 5) Ask the publisher to update registry metadata to declare the required API key/config path explicitly so the skill's requirements are transparent.

Like a lobster shell, security has layers — review code before you run it.

latestvk977en1g5b1q1p4124r7xg1mnn84f42q
3.5kdownloads
17stars
3versions
Updated 20h ago
v1.0.2
MIT-0

MiniMax CLI — Agent Skill Guide

Use mmx to generate text, images, video, speech, music, and perform web search via the MiniMax AI platform.

Prerequisites

# Install
npm install -g mmx-cli

# Auth (persisted to ~/.mmx/credentials.json)
mmx auth login --api-key sk-xxxxx

# Or pass per-call
mmx text chat --api-key sk-xxxxx --message "Hello"

Region is auto-detected. Override with --region global or --region cn.


Agent Flags

Always use these flags in non-interactive (agent/CI) contexts:

FlagPurpose
--non-interactiveFail fast on missing args instead of prompting
--quietSuppress spinners/progress; stdout is pure data
--output jsonMachine-readable JSON output
--asyncReturn task ID immediately (video generation)
--dry-runPreview the API request without executing
--yesSkip confirmation prompts

Commands

text chat

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

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
# 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).


image generate

Generate images. Model: image-01.

mmx image generate --prompt <text> [flags]
FlagTypeDescription
--prompt <text>string, requiredImage description
--aspect-ratio <ratio>stringe.g. 16:9, 1:1
--n <count>numberNumber of images (default: 1)
--subject-ref <params>stringSubject reference: type=character,image=path-or-url
--out-dir <dir>stringDownload images to directory
--out-prefix <prefix>stringFilename prefix (default: image)
mmx image generate --prompt "A cat in a spacesuit" --output json --quiet
# stdout: image URLs (one per line in quiet mode)

mmx image generate --prompt "Logo" --n 3 --out-dir ./gen/ --quiet
# stdout: saved file paths (one per line)

video generate

Generate video. Default model: MiniMax-Hailuo-2.3. This is an async task — by default it polls until completion.

mmx video generate --prompt <text> [flags]
FlagTypeDescription
--prompt <text>string, requiredVideo description
--model <model>stringMiniMax-Hailuo-2.3 (default) or MiniMax-Hailuo-2.3-Fast
--first-frame <path-or-url>stringFirst frame image
--callback-url <url>stringWebhook URL for completion
--download <path>stringSave video to specific file
--asyncbooleanReturn task ID immediately
--no-waitbooleanSame as --async
--poll-interval <seconds>numberPolling interval (default: 5)
# Non-blocking: get task ID
mmx video generate --prompt "A robot." --async --quiet
# stdout: {"taskId":"..."}

# Blocking: wait and get file path
mmx video generate --prompt "Ocean waves." --download ocean.mp4 --quiet
# stdout: ocean.mp4

video task get

Query status of a video generation task.

mmx video task get --task-id <id> [--output json]

video download

Download a completed video by task ID.

mmx video download --file-id <id> [--out <path>]

speech synthesize

Text-to-speech. Default model: speech-2.8-hd. Max 10k chars.

mmx speech synthesize --text <text> [flags]
FlagTypeDescription
--text <text>stringText to synthesize
--text-file <path>stringRead text from file. Use - for stdin
--model <model>stringspeech-2.8-hd (default), speech-2.6, speech-02
--voice <id>stringVoice ID (default: English_expressive_narrator)
--speed <n>numberSpeed multiplier
--volume <n>numberVolume level
--pitch <n>numberPitch adjustment
--format <fmt>stringAudio format (default: mp3)
--sample-rate <hz>numberSample rate (default: 32000)
--bitrate <bps>numberBitrate (default: 128000)
--channels <n>numberAudio channels (default: 1)
--language <code>stringLanguage boost
--subtitlesbooleanInclude subtitle timing data
--pronunciation <from/to>string, repeatableCustom pronunciation
--sound-effect <effect>stringAdd sound effect
--out <path>stringSave audio to file
--streambooleanStream raw audio to stdout
mmx speech synthesize --text "Hello world" --out hello.mp3 --quiet
# stdout: hello.mp3

echo "Breaking news." | mmx speech synthesize --text-file - --out news.mp3

music generate

Generate music. Model: music-2.5. Responds well to rich, structured descriptions.

mmx music generate --prompt <text> [--lyrics <text>] [flags]
FlagTypeDescription
--prompt <text>stringMusic style description (can be detailed)
--lyrics <text>stringSong lyrics with structure tags. Use "\u65e0\u6b4c\u8bcd" for instrumental. Cannot be used with --instrumental
--lyrics-file <path>stringRead lyrics from file. Use - for stdin
--vocals <text>stringVocal style, e.g. "warm male baritone", "bright female soprano", "duet with harmonies"
--genre <text>stringMusic genre, e.g. folk, pop, jazz
--mood <text>stringMood or emotion, e.g. warm, melancholic, uplifting
--instruments <text>stringInstruments to feature, e.g. "acoustic guitar, piano"
--tempo <text>stringTempo description, e.g. fast, slow, moderate
--bpm <number>numberExact tempo in beats per minute
--key <text>stringMusical key, e.g. C major, A minor, G sharp
--avoid <text>stringElements to avoid in the generated music
--use-case <text>stringUse case context, e.g. "background music for video", "theme song"
--structure <text>stringSong structure, e.g. "verse-chorus-verse-bridge-chorus"
--references <text>stringReference tracks or artists, e.g. "similar to Ed Sheeran"
--extra <text>stringAdditional fine-grained requirements
--instrumentalbooleanGenerate instrumental music (no vocals). Cannot be used with --lyrics or --lyrics-file
--aigc-watermarkbooleanEmbed AI-generated content watermark
--format <fmt>stringAudio format (default: mp3)
--sample-rate <hz>numberSample rate (default: 44100)
--bitrate <bps>numberBitrate (default: 256000)
--out <path>stringSave audio to file
--streambooleanStream raw audio to stdout

At least one of --prompt or --lyrics is required.

# Simple usage
mmx music generate --prompt "Upbeat pop" --lyrics "La la la..." --out song.mp3 --quiet

# Detailed prompt with vocal characteristics
mmx music generate --prompt "Warm morning folk" \
  --vocals "male and female duet, harmonies in chorus" \
  --instruments "acoustic guitar, piano" \
  --bpm 95 \
  --lyrics-file song.txt \
  --out duet.mp3

# Instrumental (use --instrumental flag)
mmx music generate --prompt "Cinematic orchestral, building tension" --instrumental --out bgm.mp3

vision describe

Image understanding via VLM. Provide either --image or --file-id, not both.

mmx vision describe (--image <path-or-url> | --file-id <id>) [flags]
FlagTypeDescription
--image <path-or-url>stringLocal path or URL (auto base64-encoded)
--file-id <id>stringPre-uploaded file ID (skips base64)
--prompt <text>stringQuestion about the image (default: "Describe the image.")
mmx vision describe --image photo.jpg --prompt "What breed?" --output json

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


search query

Web search via MiniMax.

mmx search query --q <query>
FlagTypeDescription
--q <query>string, requiredSearch query
mmx search query --q "MiniMax AI" --output json --quiet

quota show

Display Token Plan usage and remaining quotas.

mmx quota show [--output json]

Tool Schema Export

Export all commands as Anthropic/OpenAI-compatible JSON tool schemas:

# All tool-worthy commands (excludes auth/config/update)
mmx config export-schema

# Single command
mmx config export-schema --command "video generate"

Use this to dynamically register mmx commands as tools in your agent framework.


Exit Codes

CodeMeaning
0Success
1General error
2Usage error (bad flags, missing args)
3Authentication error
4Quota exceeded
5Timeout
10Content filter triggered

Piping Patterns

# stdout is always clean data — safe to pipe
mmx text chat --message "Hi" --output json | jq '.content'

# stderr has progress/spinners — discard if needed
mmx video generate --prompt "Waves" 2>/dev/null

# Chain: generate image → describe it
URL=$(mmx image generate --prompt "A sunset" --quiet)
mmx vision describe --image "$URL" --quiet

# Async video workflow
TASK=$(mmx video generate --prompt "A robot" --async --quiet | jq -r '.taskId')
mmx video task get --task-id "$TASK" --output json
mmx video download --task-id "$TASK" --out robot.mp4

Configuration Precedence

CLI flags → environment variables → ~/.mmx/config.json → defaults.

# Persistent config
mmx config set --key region --value cn
mmx config show

# Environment
export MINIMAX_API_KEY=sk-xxxxx
export MINIMAX_REGION=cn

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