A Stock Prediction
digoal/blog
A股个股次日(T+1)走势预测 skill。当用户输入A股股票代码(如 600519、000858、300750、688981、430090)或公司名称(如"贵州茅台"、"宁德时代"、"比亚迪"),并要求预测次日走势、给出交易计划、评估盈亏概率时,触发本 skill。skill 会用 mcpMiniMaxwebsearch…
Use mmx to generate text, images, video, speech, and music via the MiniMax AI platform.
$ npx skills add Peiiii/nextclaw --skill mmx-cli -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Peiiii/nextclaw mmx-cli --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/Peiiii/nextclaw.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/mmx-cli .claude/skills/mmx-cli && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "mmx-cli" agent skill from https://github.com/Peiiii/nextclaw/tree/master/skills/mmx-cli into .claude/skills/mmx-cli/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mmx-cli", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/Peiiii/nextclaw/tree/master/skills/mmx-cliType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add Peiiii/nextclaw --skill mmx-cli -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Peiiii/nextclaw mmx-cli --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Peiiii/nextclaw.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/mmx-cli .agents/skills/mmx-cli && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "mmx-cli" agent skill from https://github.com/Peiiii/nextclaw/tree/master/skills/mmx-cli into .agents/skills/mmx-cli/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mmx-cli", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add Peiiii/nextclaw --skill mmx-cli -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Peiiii/nextclaw mmx-cli --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Peiiii/nextclaw.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/mmx-cli .cursor/skills/mmx-cli && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "mmx-cli" agent skill from https://github.com/Peiiii/nextclaw/tree/master/skills/mmx-cli into .cursor/skills/mmx-cli/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mmx-cli", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/Peiiii/nextclaw.git --path skills/mmx-cli--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add Peiiii/nextclaw --skill mmx-cli -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Peiiii/nextclaw mmx-cli --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Peiiii/nextclaw.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/mmx-cli .gemini/skills/mmx-cli && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "mmx-cli" agent skill from https://github.com/Peiiii/nextclaw/tree/master/skills/mmx-cli into .gemini/skills/mmx-cli/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mmx-cli", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install Peiiii/nextclaw mmx-cliInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add Peiiii/nextclaw --skill mmx-cli -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/Peiiii/nextclaw.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/mmx-cli .github/skills/mmx-cli && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "mmx-cli" agent skill from https://github.com/Peiiii/nextclaw/tree/master/skills/mmx-cli into .github/skills/mmx-cli/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mmx-cli", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add Peiiii/nextclaw --skill mmx-cli -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install Peiiii/nextclaw mmx-cli --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Peiiii/nextclaw.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/mmx-cli .opencode/skills/mmx-cli && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "mmx-cli" agent skill from https://github.com/Peiiii/nextclaw/tree/master/skills/mmx-cli into .opencode/skills/mmx-cli/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mmx-cli", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
mmx-cliUse mmx to generate text, images, video, speech, and music via the MiniMax AI platform.
Mmx CLI is an agent skill from Peiiii/nextclaw. 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 models, perform web search, or manage MiniMax API resources from the terminal.
Its SKILL.md is about 2.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `marketplace.json`).
It sits in Productivity & Automation, covering Web search. It works with MiniMax. The repository describes itself as: A human-centered long-term AI partner—not a task-centered assistant. The licence is MIT.
Read from SKILL.md and the folder at commit d130133. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Shell commands in SKILL.md call:
jqnpmFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use npm, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Names these keys or tokens, usually read from environment variables:
MINIMAX_API_KEYFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Mmx CLI loads about 2.7k tokens when it runs. Until then it costs about 60 tokens; SKILL.md has 824 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from Peiiii/nextclaw at commit d130133, republished under its MIT licence (© Peiiii). 824 words, ~2,736 tokens.
.claude/skills/mmx-cli/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.Use mmx to generate text, images, video, speech, music, and perform web search via the MiniMax AI platform.
# 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.
Always use these flags in non-interactive (agent/CI) contexts:
| Flag | Purpose |
|---|---|
--non-interactive | Fail fast on missing args instead of prompting |
--quiet | Suppress spinners/progress; stdout is pure data |
--output json | Machine-readable JSON output |
--async | Return task ID immediately (video generation) |
--dry-run | Preview the API request without executing |
--yes | Skip confirmation prompts |
Chat completion. Default model: MiniMax-M2.7.
mmx text chat --message <text> [flags]| Flag | Type | Description |
|---|---|---|
--message <text> | string, required, repeatable | Message text. Prefix with role: to set role (e.g. "system:You are helpful", "user:Hello") |
--messages-file <path> | string | JSON file with messages array. Use - for stdin |
--system <text> | string | System prompt |
--model <model> | string | Model ID (default: MiniMax-M2.7) |
--max-tokens <n> | number | Max tokens (default: 4096) |
--temperature <n> | number | Sampling temperature (0.0, 1.0] |
--top-p <n> | number | Nucleus sampling threshold |
--stream | boolean | Stream tokens (default: on in TTY) |
--tool <json-or-path> | string, repeatable | Tool 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 jsonstdout: response text (text mode) or full response object (json mode).
Generate images. Model: image-01.
mmx image generate --prompt <text> [flags]| Flag | Type | Description |
|---|---|---|
--prompt <text> | string, required | Image description |
--aspect-ratio <ratio> | string | e.g. 16:9, 1:1 |
--n <count> | number | Number of images (default: 1) |
--subject-ref <params> | string | Subject reference: type=character,image=path-or-url |
--out-dir <dir> | string | Download images to directory |
--out-prefix <prefix> | string | Filename 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)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]| Flag | Type | Description |
|---|---|---|
--prompt <text> | string, required | Video description |
--model <model> | string | MiniMax-Hailuo-2.3 (default) or MiniMax-Hailuo-2.3-Fast |
--first-frame <path-or-url> | string | First frame image |
--callback-url <url> | string | Webhook URL for completion |
--download <path> | string | Save video to specific file |
--async | boolean | Return task ID immediately |
--no-wait | boolean | Same as --async |
--poll-interval <seconds> | number | Polling 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.mp4Query status of a video generation task.
mmx video task get --task-id <id> [--output json]Download a completed video by task ID.
mmx video download --file-id <id> [--out <path>]Text-to-speech. Default model: speech-2.8-hd. Max 10k chars.
mmx speech synthesize --text <text> [flags]| Flag | Type | Description |
|---|---|---|
--text <text> | string | Text to synthesize |
--text-file <path> | string | Read text from file. Use - for stdin |
--model <model> | string | speech-2.8-hd (default), speech-2.6, speech-02 |
--voice <id> | string | Voice ID (default: English_expressive_narrator) |
--speed <n> | number | Speed multiplier |
--volume <n> | number | Volume level |
--pitch <n> | number | Pitch adjustment |
--format <fmt> | string | Audio format (default: mp3) |
--sample-rate <hz> | number | Sample rate (default: 32000) |
--bitrate <bps> | number | Bitrate (default: 128000) |
--channels <n> | number | Audio channels (default: 1) |
--language <code> | string | Language boost |
--subtitles | boolean | Include subtitle timing data |
--pronunciation <from/to> | string, repeatable | Custom pronunciation |
--sound-effect <effect> | string | Add sound effect |
--out <path> | string | Save audio to file |
--stream | boolean | Stream 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.mp3Generate music. Model: music-2.5. Responds well to rich, structured descriptions.
mmx music generate --prompt <text> [--lyrics <text>] [flags]| Flag | Type | Description |
|---|---|---|
--prompt <text> | string | Music style description (can be detailed) |
--lyrics <text> | string | Song lyrics with structure tags. Use "\u65e0\u6b4c\u8bcd" for instrumental. Cannot be used with --instrumental |
--lyrics-file <path> | string | Read lyrics from file. Use - for stdin |
--vocals <text> | string | Vocal style, e.g. "warm male baritone", "bright female soprano", "duet with harmonies" |
--genre <text> | string | Music genre, e.g. folk, pop, jazz |
--mood <text> | string | Mood or emotion, e.g. warm, melancholic, uplifting |
--instruments <text> | string | Instruments to feature, e.g. "acoustic guitar, piano" |
--tempo <text> | string | Tempo description, e.g. fast, slow, moderate |
--bpm <number> | number | Exact tempo in beats per minute |
--key <text> | string | Musical key, e.g. C major, A minor, G sharp |
--avoid <text> | string | Elements to avoid in the generated music |
--use-case <text> | string | Use case context, e.g. "background music for video", "theme song" |
--structure <text> | string | Song structure, e.g. "verse-chorus-verse-bridge-chorus" |
--references <text> | string | Reference tracks or artists, e.g. "similar to Ed Sheeran" |
--extra <text> | string | Additional fine-grained requirements |
--instrumental | boolean | Generate instrumental music (no vocals). Cannot be used with --lyrics or --lyrics-file |
--aigc-watermark | boolean | Embed AI-generated content watermark |
--format <fmt> | string | Audio format (default: mp3) |
--sample-rate <hz> | number | Sample rate (default: 44100) |
--bitrate <bps> | number | Bitrate (default: 256000) |
--out <path> | string | Save audio to file |
--stream | boolean | Stream 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.mp3Image understanding via VLM. Provide either --image or --file-id, not both.
mmx vision describe (--image <path-or-url> | --file-id <id>) [flags]| Flag | Type | Description |
|---|---|---|
--image <path-or-url> | string | Local path or URL (auto base64-encoded) |
--file-id <id> | string | Pre-uploaded file ID (skips base64) |
--prompt <text> | string | Question about the image (default: "Describe the image.") |
mmx vision describe --image photo.jpg --prompt "What breed?" --output jsonstdout: description text (text mode) or full response (json mode).
Web search via MiniMax.
mmx search query --q <query>| Flag | Type | Description |
|---|---|---|
--q <query> | string, required | Search query |
mmx search query --q "MiniMax AI" --output json --quietDisplay Token Plan usage and remaining quotas.
mmx quota show [--output json]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.
| Code | Meaning |
|---|---|
| 0 | Success |
| 1 | General error |
| 2 | Usage error (bad flags, missing args) |
| 3 | Authentication error |
| 4 | Quota exceeded |
| 5 | Timeout |
| 10 | Content filter triggered |
# 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.mp4CLI 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© Peiiii, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 1 other file in skills/mmx-cli of Peiiii/nextclaw.
Open the folder on GitHubat commit d130133
We found 23 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 4 other GitHub owners. This page covers the copy in Peiiii/nextclaw, which our catalogue first saw on October 7, 2026.
Mmx CLI next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Mmx CLI this skillPeiiii/nextclaw | 260 | 4 repos | ~2.7k | Automated safety check: Pass | MIT | |
| A Stock Predictiondigoal/blog | 8.6k | — | ~2.2k | Automated safety check: Pass | GPL-2.0 | |
| Us Stock Predictiondigoal/blog | 8.6k | — | ~1.9k | Automated safety check: Warn | GPL-2.0 | |
| API Quota MonitoraAAaqwq/AGI-Super-Team | 105 | 1 repos | ~874 | Automated safety check: Pass | MIT | |
| Digoal Read Think Writerdigoal/blog | 8.6k | — | ~1.3k | Automated safety check: Pass | GPL-2.0 | |
| Web Searchjjyaoao/HelloAgents | 3.2k | 1 repos | ~5.6k | Automated safety check: Pass | MIT |
digoal/blog
A股个股次日(T+1)走势预测 skill。当用户输入A股股票代码(如 600519、000858、300750、688981、430090)或公司名称(如"贵州茅台"、"宁德时代"、"比亚迪"),并要求预测次日走势、给出交易计划、评估盈亏概率时,触发本 skill。skill 会用 mcpMiniMaxwebsearch…
digoal/blog
美股个股次日走势预测 skill。当用户输入美股股票代码(如 AAPL、TSLA)或公司名称(如 "苹果"、"特斯拉"),并要求预测次日(T+1)走势、给出交易计划、评估盈亏概率时,触发本 skill。skill 会用 mcpMiniMaxwebsearch 搜证盘前 90…
aAAaqwq/AGI-Super-Team
查询监控 API 供应商/服务的额度、余额、消耗情况。支持官方供应商(Gemini/xAI/ZAI/Minimax/OpenRouter等)、中转站(AIXN/Provider-A等)、订阅服务(Brave/Tavily/Serper)。触发词:查额度、查余额、API用量、供应商额度、quota、balance、usage、billing。
digoal/blog
以 digoal/德哥 的第一人称口吻重写一篇文章。流程是:先吃透原文(必要时用 mcpMiniMaxwebsearch 拓展资料库),再用德哥的语气重新讲一遍,输出 markdown 到当前项目的 markdown/ 目录(SVG 图存到 markdown/svg/,文中以 …
jjyaoao/HelloAgents
Implement web search capabilities using the z-ai-web-dev-sdk.
uluckyXH/OpenMOSS
A skill your agent uses when the user asks for web search that should run via the local-160 Responses API with websearch tool (base URL like https://proxy.example.com, model gpt-5.2-codex(xhigh)).
Peiiii/nextclaw
A skill your agent uses when a user wants to browse, apply, inspect, create, refine, switch, or remove a NextClaw skin; wants a personal skin with arbitrary CSS, JavaScript, images, SVG, DOM…
Peiiii/nextclaw
A skill your agent uses when a development task needs visible phase tracing, task-level or phase-level Token measurement, model/effort comparison, or a deterministic usage report or local dashboard…
Peiiii/nextclaw
当 NextClaw 产品更新后需要生成、替换、挑毛病或检查官网、GitHub README、用户文档或社交传播中的真实截图、AI 宣传视觉、整页 HTML 宣传预览、社区二维码等对外视觉资产时使用;也用于“更新截图”“重新截一批图”“做宣传页”“生成 campaign 页面”“视觉审稿”“五星挑刺法”或发布前检查视觉资产。普通站点布局开发或只写文章不触发。
Peiiii/nextclaw
A skill your agent uses when the user wants professional UI/UX design guidance, design-system generation, UX review, or stack-specific frontend guidance through a bundled local UI/UX Pro Max dataset…
Peiiii/nextclaw
A skill your agent uses when the user wants distinctive, production-grade frontend design, anti-generic AI aesthetics, UX critique, technical UI audits, or final polish through bundled Impeccable…
Peiiii/nextclaw
Curate NextClaw skill resources, including OpenClaw and community sources.
Works with
Use mmx to generate text, images, video, speech, and music via the MiniMax AI platform. Mmx CLI is an agent skill from Peiiii/nextclaw. Use mmx to generate text, images, video, speech, and music via the MiniMax AI platform.
Mmx CLI fits situations like: the user wants to create media content; chat with MiniMax models; perform web search; manage MiniMax API resources from the terminal.
Run `npx skills add Peiiii/nextclaw --skill mmx-cli -a claude-code`. Or copy the skill folder (skills/mmx-cli in Peiiii/nextclaw) into .claude/skills/mmx-cli in your project. Claude Code loads it when a task matches its description.
Run `npx skills add Peiiii/nextclaw --skill mmx-cli -a codex`. Or copy the skill folder (skills/mmx-cli in Peiiii/nextclaw) into .agents/skills/mmx-cli in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Peiiii/nextclaw --skill mmx-cli -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/mmx-cli, .gemini/skills/mmx-cli, .github/skills/mmx-cli and .opencode/skills/mmx-cli in your project.
Going by SKILL.md and its folder, Mmx CLI needs the command-line tools its instructions call (jq and npm) and credentials named MINIMAX_API_KEY. Our summary lists: Node.js; A credential in MINIMAX_API_KEY.
SKILL.md contains no URLs. Its commands use npm, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Mmx CLI is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.7k tokens (SKILL.md is roughly 11k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Mmx CLI: A Stock Prediction (digoal/blog, 8.6k stars), Us Stock Prediction (digoal/blog, 8.6k stars), API Quota Monitor (aAAaqwq/AGI-Super-Team, 105 stars) and Digoal Read Think Writer (digoal/blog, 8.6k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Peiiii (a GitHub user) maintains it in Peiiii/nextclaw, which has 260 GitHub stars. The repository holds 70 skills in this directory. The repository was last updated on October 6, 2026.
Source: Peiiii/nextclaw on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.