Brainrot Video Maker Free

v1.0.0

Turn a 30-second gameplay or meme clip into 1080p brainrot-style videos just by typing what you need. Whether it's generating split-screen brainrot videos wi...

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Install

OpenClaw Prompt Flow

Install with OpenClaw

Best for remote or guided setup. Copy the exact prompt, then paste it into OpenClaw for linmillsd7/brainrot-video-maker-free.

Previewing Install & Setup.
Prompt PreviewInstall & Setup
Install the skill "Brainrot Video Maker Free" (linmillsd7/brainrot-video-maker-free) from ClawHub.
Skill page: https://clawhub.ai/linmillsd7/brainrot-video-maker-free
Keep the work scoped to this skill only.
After install, inspect the skill metadata and help me finish setup.
Required env vars: NEMO_TOKEN
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 brainrot-video-maker-free

ClawHub CLI

Package manager switcher

npx clawhub@latest install brainrot-video-maker-free
Security Scan
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Purpose & Capability
Name/description match the runtime instructions: the SKILL.md describes uploading clips, creating sessions, sending edits, and calling a rendering API at mega-api-prod.nemovideo.ai. Requiring a single NEMO_TOKEN credential is appropriate for this backend service.
Instruction Scope
Instructions are focused on the stated purpose (session creation, SSE chat, uploads, export polling). They expect the agent to accept user video files and call the listed endpoints. Note: the skill asks the agent to detect install path (to set X-Skill-Platform header) and the YAML frontmatter includes a configPaths entry (~/.config/nemovideo/), which implies the platform or agent may check a local config path — this is not strictly necessary for basic upload/render functionality but is explained as used for attribution headers.
Install Mechanism
No install spec and no code files — instruction-only. This minimizes disk/write risk; nothing is downloaded or executed by the skill itself.
Credentials
The skill requests exactly one credential (NEMO_TOKEN) and describes obtaining an anonymous token if none is present. This is proportional for a cloud rendering service. Consider that if you supply a personal NEMO_TOKEN it may consume your account's credits; anonymous tokens are short-lived and limited.
Persistence & Privilege
always is false and the skill does not declare persistent system-wide changes. The only persistence implied is use of session tokens with the remote service. The only minor privilege-like behavior is detection of install path and a referenced config path in the frontmatter, which could cause local path checks but not obvious system modification.
Assessment
This skill appears to do what it says: it uploads clips to a cloud renderer and returns download URLs. Before installing/providing credentials, consider: (1) don't give a personal NEMO_TOKEN unless you trust the service—any job will use that token and may consume your credits, (2) uploading videos sends your media to mega-api-prod.nemovideo.ai (check privacy/terms before sending sensitive content), and (3) the SKILL.md frontmatter references a local config path (~/.config/nemovideo/) and install-path detection; if you are uncomfortable with the agent probing local paths, do not install or ensure your platform does not expose those paths. If you want higher assurance, ask the skill author for a homepage, documentation, or the official service domain ownership before use.

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

Runtime requirements

🧠 Clawdis
EnvNEMO_TOKEN
Primary envNEMO_TOKEN
latestvk978cpwsr583rh1sxfyzbdpaxx85872q
105downloads
0stars
1versions
Updated 1w ago
v1.0.0
MIT-0

Getting Started

Share your video clips and I'll get started on brainrot video creation. Or just tell me what you're thinking.

Try saying:

  • "create my video clips"
  • "export 1080p MP4"
  • "add subway surfers gameplay, split-screen chaos,"

Getting Connected

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

If NEMO_TOKEN is in the environment, use it directly and create a session. Otherwise, acquire a free starter token:

  • Generate a UUID as client identifier
  • POST to https://mega-api-prod.nemovideo.ai/api/auth/anonymous-token with the X-Client-Id header
  • The response includes a token with 100 free credits valid for 7 days — use it as NEMO_TOKEN

Then create a session by POSTing to https://mega-api-prod.nemovideo.ai/api/tasks/me/with-session/nemo_agent with Bearer authorization and body {"task_name":"project","language":"en"}. The session_id in the response is needed for all following requests.

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

Brainrot Video Maker Free — Create and Export Brainrot Videos

Drop your video clips in the chat and tell me what you need. I'll handle the brainrot video creation on cloud GPUs — you don't need anything installed locally.

Here's a typical use: you send a a 30-second gameplay or meme clip, ask for add 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 download. The whole thing runs at 1080p by default.

One thing worth knowing — shorter source clips under 60 seconds generate the most shareable brainrot output.

Matching Input to Actions

User prompts referencing brainrot video maker free, aspect ratio, text overlays, or audio tracks get routed to the corresponding action via keyword and intent classification.

User says...ActionSkip SSE?
"export" / "导出" / "download" / "send me the video"→ §3.5 Export
"credits" / "积分" / "balance" / "余额"→ §3.3 Credits
"status" / "状态" / "show tracks"→ §3.4 State
"upload" / "上传" / user sends file→ §3.2 Upload
Everything else (generate, edit, add BGM…)→ §3.1 SSE

Cloud Render Pipeline Details

Each export job queues on a cloud GPU node that composites video layers, applies platform-spec compression (H.264, up to 1080x1920), and returns a download URL within 30-90 seconds. The session token 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 endpoints:

  1. SessionPOST /api/tasks/me/with-session/nemo_agent with {"task_name":"project","language":"<lang>"}. Gives you a session_id.
  2. Chat (SSE)POST /run_sse with session_id and your message in new_message.parts[0].text. Set Accept: text/event-stream. Up to 15 min.
  3. UploadPOST /api/upload-video/nemo_agent/me/<sid> — multipart file or JSON with URLs.
  4. CreditsGET /api/credits/balance/simple — returns available, frozen, total.
  5. StateGET /api/state/nemo_agent/me/<sid>/latest — current draft and media info.
  6. ExportPOST /api/render/proxy/lambda with render ID and draft JSON. Poll GET /api/render/proxy/lambda/<id> every 30s for completed status and download URL.

Formats: mp4, mov, avi, webm, mkv, jpg, png, gif, webp, mp3, wav, m4a, aac.

Headers are derived from this file's YAML frontmatter. X-Skill-Source is brainrot-video-maker-free, X-Skill-Version comes from the version field, and X-Skill-Platform is detected from the install path (~/.clawhub/ = clawhub, ~/.cursor/skills/ = cursor, otherwise unknown).

Every API call needs Authorization: Bearer <NEMO_TOKEN> plus the three attribution headers above. If any header is missing, exports return 402.

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

Example timeline summary:

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

Translating GUI Instructions

The backend responds as if there's a visual interface. Map its instructions to API calls:

  • "click" or "点击" → execute the action via the relevant endpoint
  • "open" or "打开" → query session state to get the data
  • "drag/drop" or "拖拽" → send the edit command through SSE
  • "preview in timeline" → show a text summary of current tracks
  • "Export" or "导出" → run the export workflow

SSE Event Handling

EventAction
Text responseApply GUI translation (§4), present to user
Tool call/resultProcess internally, don't forward
heartbeat / empty data:Keep waiting. Every 2 min: "⏳ Still working..."
Stream closesProcess final response

~30% of editing operations return no text in the SSE stream. When this happens: poll session state to verify the edit was applied, then summarize changes to the user.

Error Handling

CodeMeaningAction
0SuccessContinue
1001Bad/expired tokenRe-auth via anonymous-token (tokens expire after 7 days)
1002Session not foundNew session §3.0
2001No creditsAnonymous: show registration URL with ?bind=<id> (get <id> from create-session or state response when needed). Registered: "Top up credits in your account"
4001Unsupported fileShow supported formats
4002File too largeSuggest compress/trim
400Missing X-Client-IdGenerate Client-Id and retry (see §1)
402Free plan export blockedSubscription tier issue, NOT credits. "Register or upgrade your plan to unlock export."
429Rate limit (1 token/client/7 days)Retry in 30s once

Tips and Tricks

The backend processes faster when you're specific. Instead of "make it look better", try "add subway surfers gameplay, split-screen chaos, captions, and background music to make a brainrot video" — concrete instructions get better results.

Max file size is 500MB. Stick to MP4, MOV, WebM, AVI for the smoothest experience.

Export as MP4 for widest compatibility across TikTok, YouTube Shorts, and Instagram Reels.

Common Workflows

Quick edit: Upload → "add subway surfers gameplay, split-screen chaos, captions, and background music to make a brainrot video" → Download MP4. Takes 1-2 minutes for a 30-second clip.

Batch style: Upload multiple files in one session. Process them one by one with different instructions. Each gets its own render.

Iterative: Start with a rough cut, preview the result, then refine. The session keeps your timeline state so you can keep tweaking.

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