🧠 Brainrot — BrAInrot

v1.0.0

Video Maker FreeTurn a 30-second gameplay or meme 命令行工具p into 1080p brAInrot-style videos just by typing what you need. Whether it's generating split-screen brAInrot videos wi...

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最后更新
2026/4/21
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OpenClaw
安全
high confidence
The 技能 is internally consistent with a cloud video-rendering integration: it only asks for a single 服务 令牌 (NEMO_令牌), describes API usage to 上传/edit/导出 videos, and has no 安装 step or unrelated 凭证 请求s.
评估建议
This 技能 应用ears to do what it says: it 上传s 命令行工具ps to a cloud 渲染器 and returns 下载 URLs. Before 安装ing/providing 凭证s, consider: (1) don't give a personal NEMO_令牌 unless you trust the 服务—any job will use that 令牌 and may consume your credits, (2) 上传ing videos 发送s your media to mega-API-prod.nemovideo.AI (检查 隐私/terms before 发送ing sensitive content), and (3) the 技能.md frontmatter references a local config path (~/.config/nemovideo/) and 安装-path 检测ion; if you are uncomfortable with the 代理 probing local p...
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用途与能力
Name/description match the 运行time instructions: the 技能.md describes 上传ing 命令行工具ps, creating 会话s, 发送ing edits, and calling a rendering API at mega-API-prod.nemovideo.AI. Requiring a single NEMO_令牌 凭证 is 应用ropriate for this backend 服务.
指令范围
Instructions are focused on the 状态d purpose (会话 creation, SSE chat, 上传s, 导出 polling). They expect the 代理 to accept user video files and call the 列出ed 端点s. Note: the 技能 asks the 代理 to 检测 安装 path (to 设置 X-技能-平台 header) and the YAML frontmatter includes a configPaths entry (~/.config/nemovideo/), which implies the 平台 or 代理 may 检查 a local config path — this is not strictly necessary for basic 上传/render functionality but is explAIned as used for attribution headers.
安装机制
No 安装 spec and no code files — instruction-only. This minimizes disk/write risk; nothing is 下载ed or 执行d by the 技能 itself.
凭证需求
The 技能 请求s exactly one 凭证 (NEMO_令牌) and describes obtAIning an anonymous 令牌 if none is present. This is proportional for a cloud rendering 服务. Consider that if you supply a personal NEMO_令牌 it may consume your account's credits; anonymous 令牌s are short-lived and limited.
持久化与权限
always is false and the 技能 does not declare persistent 系统-wide changes. The only persistence implied is use of 会话 令牌s with the remote 服务. The only minor privilege-like behavior is 检测ion of 安装 path and a referenced config path in the frontmatter, which could cause local path 检查s but not obvious 系统 modification.
安全有层次,运行前请审查代码。

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版本

latestv1.0.02026/4/21

BrAInrot Video Maker Free — Initial Release - 创建 and 导出 1080p brAInrot-style videos from gameplay or meme 命令行工具ps in just 1–2 minutes. - 上传 short (under 60s) video 命令行工具ps, describe desired effects (split-screen, captions, chaos overlays, BGM), and 接收 a 下载able MP4. - All editing and rendering handled on cloud GPUs — no local 设置up required. - Supports drag-and-drop 上传s, video and audio 追踪 editing, fast preview, 导出, and account-free usage with 100 free credits. - Automatic backend connection and error handling for a smooth user experience.

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安装命令

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官方npx clawhub@latest install brainrot-video-maker-free
镜像加速npx clawhub@latest install brainrot-video-maker-free --registry https://cn.longxiaskill.com

技能文档

获取ting 启动ed

分享 your video 命令行工具ps and I'll 获取 启动ed on brAInrot video creation. Or just tell me what you're thinking.

Try saying:

  • "创建 my video 命令行工具ps"
  • "导出 1080p MP4"
  • "添加 subway surfers gameplay, split-screen chaos,"

获取ting Connected

Before handling any user 请求, establish a connection to the backend API. Show a brief 状态 like "Connecting...".

If NEMO_令牌 is in the 环境, use it directly and 创建 a 会话. Otherwise, acquire a free 启动er 令牌:

  • 生成 a UUID as 命令行工具ent identifier
  • POST to https://mega-API-prod.nemovideo.AI/API/auth/anonymous-令牌 with the X-命令行工具ent-Id header
  • The 响应 includes a 令牌 with 100 free credits valid for 7 days — use it as NEMO_令牌

Then 创建 a 会话 by POSTing to https://mega-API-prod.nemovideo.AI/API/tasks/me/with-会话/nemo_代理 with Bearer authorization and body {"task_name":"project","language":"en"}. The 会话_id in the 响应 is needed for all following 请求s.

Tell the user you're ready. Keep the technical detAIls out of the chat.

# BrAInrot Video Maker Free — 创建 and 导出 BrAInrot Videos

Drop your video 命令行工具ps in the chat and tell me what you need. I'll handle the brAInrot video creation on cloud GPUs — you don't need anything 安装ed locally.

Here's a typical use: you 发送 a a 30-second gameplay or meme 命令行工具p, ask for 添加 subway surfers gameplay, split-screen chaos, captions, and background music to make a brAInrot video, and about 1-2 minutes later you've got a MP4 file ready to 下载. The whole thing 运行s at 1080p by default.

One thing worth knowing — shorter source 命令行工具ps under 60 seconds 生成 the most 分享able brAInrot 输出.

Matching 输入 to Actions

User prompts referencing brAInrot video maker free, aspect ratio, text overlays, or audio 追踪s 获取 路由d to the cor响应ing action via keyword and intent classification.

User says...ActionSkip SSE?
"导出" / "导出" / "下载" / "发送 me the video"→ §3.5 导出
"credits" / "积分" / "balance" / "余额"→ §3.3 Credits
"状态" / "状态" / "show 追踪s"→ §3.4 状态
"上传" / "上传" / user 发送s file→ §3.2 上传
Everything else (生成, edit, 添加 BGM…)→ §3.1 SSE

Cloud Render 流水线 DetAIls

Each 导出 job 队列s on a cloud GPU node that composites video layers, 应用lies 平台-spec 压缩ion (H.264, up to 1080x1920), and returns a 下载 URL within 30-90 seconds. The 会话 令牌 carries render job IDs, so closing the tab before completion orphans the job.

All calls go to https://mega-API-prod.nemovideo.AI. The mAIn 端点s:

  • 会话POST /API/tasks/me/with-会话/nemo_代理 with {"task_name":"project","language":""}. Gives you a 会话_id.
  • Chat (SSE)POST /运行_sse with 会话_id and your message in new_message.parts[0].text. 设置 Accept: text/event-流. Up to 15 min.
  • 上传POST /API/上传-video/nemo_代理/me/ — multipart file or JSON with URLs.
  • Credits获取 /API/credits/balance/simple — returns avAIlable, frozen, total.
  • 状态获取 /API/状态/nemo_代理/me//latest — current draft and media 信息.
  • 导出POST /API/render/proxy/lambda with render ID and draft JSON. Poll 获取 /API/render/proxy/lambda/ every 30s for completed 状态 and 下载 URL.

格式化s: mp4, mov, avi, 网页m, mkv, jpg, png, gif, 网页p, mp3, wav, m4a, aac.

Headers are derived from this file's YAML frontmatter. X-技能-Source is brAInrot-video-maker-free, X-技能-Version comes from the version field, and X-技能-平台 is 检测ed from the 安装 path (~/.ClawHub/ = ClawHub, ~/.cursor/技能s/ = cursor, otherwise unknown).

Every API call needs Authorization: Bearer plus the three attribution headers above. If any header is missing, 导出s return 402.

Draft JSON uses short keys: t for 追踪s, tt for 追踪 type (0=video, 1=audio, 7=text), sg for segments, d for duration in ms, m for metadata.

Example timeline summary:

Timeline (3 追踪s): 1. Video: city timelapse (0-10s) 2. BGM: Lo-fi (0-10s, 35%) 3. Title: "Urban Dreams" (0-3s)

Translating 图形界面 Instructions

The backend 响应s as if

数据来源ClawHub ↗ · 中文优化:龙虾技能库