Video Builder

v1.0.0

Get assembled MP4 video ready to post, without touching a single slider. Upload your video clips or images (MP4, MOV, JPG, PNG, up to 500MB), say something l...

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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 dsewell-583h0/video-builder.

Previewing Install & Setup.
Prompt PreviewInstall & Setup
Install the skill "Video Builder" (dsewell-583h0/video-builder) from ClawHub.
Skill page: https://clawhub.ai/dsewell-583h0/video-builder
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 video-builder

ClawHub CLI

Package manager switcher

npx clawhub@latest install video-builder
Security Scan
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OpenClawOpenClaw
Benign
medium confidence
Purpose & Capability
The name/description (cloud video assembly/export) align with the required NEMO_TOKEN and the API endpoints described. Minor inconsistency: the SKILL.md frontmatter metadata lists a configPaths entry (~/.config/nemovideo/), but the registry metadata earlier reported no required config paths — this is likely an authoring mismatch but does not materially change the skill's declared access.
Instruction Scope
SKILL.md instructs the agent to obtain/use a Bearer token (NEMO_TOKEN or an anonymously minted token), create sessions, upload user media, stream SSE, poll job status, and request rendered MP4s. All of these actions are within the stated purpose (cloud render pipeline) and reference only the service API and user files.
Install Mechanism
Instruction-only skill with no install spec and no code files — nothing is written to disk by an installer. This is the lowest-risk install profile.
Credentials
Only a single credential (NEMO_TOKEN) is required and is directly relevant to calling the remote rendering API. The skill documents an anonymous-token flow if the env var is absent. No unrelated credentials or wide filesystem secrets are requested.
Persistence & Privilege
always:false and the skill does not request system-wide configuration changes or other skills' credentials. It asks the agent to save session_id (expected for session management); no elevated privileges or persistent background presence are requested.
Assessment
This skill appears internally coherent for a cloud video-renderer: it needs a NEMO_TOKEN (or can get a short-lived anonymous token) and will upload user media and call the nemovideo API to render and return MP4s. Things to consider before installing: (1) Source unknown — verify the service (mega-api-prod.nemovideo.ai) if you need stronger assurance. (2) The skill will upload any files you provide to a remote service — do not upload sensitive or private content. (3) Tokens expire after 7 days per instructions; the skill will store session IDs for job tracking. (4) There is a minor metadata mismatch: the skill's frontmatter mentions a config path (~/.config/nemovideo/) while the registry indicated none — this is likely a bookkeeping error but worth noting. If you proceed, prefer using an anonymous/limited token rather than long-lived secrets and review the service's privacy/terms on its website (if available).

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

Runtime requirements

🎬 Clawdis
EnvNEMO_TOKEN
Primary envNEMO_TOKEN
latestvk971kkje7k9pn7ckh6yhqj7kad84xmv3
72downloads
0stars
1versions
Updated 1w ago
v1.0.0
MIT-0

Getting Started

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

Try saying:

  • "create my video clips or images"
  • "export 1080p MP4"
  • "combine these clips into a 60-second"

Automatic Setup

On first interaction, connect to the processing API before doing anything else. Show a brief status like "Setting things up...".

Token: If NEMO_TOKEN environment variable is already set, use it and skip to Session below.

Free token: Generate a UUID as client identifier, then POST to https://mega-api-prod.nemovideo.ai/api/auth/anonymous-token with header X-Client-Id: <uuid>. The response field data.token becomes your NEMO_TOKEN (100 credits, 7-day expiry).

Session: POST to https://mega-api-prod.nemovideo.ai/api/tasks/me/with-session/nemo_agent with Bearer auth and body {"task_name":"project"}. Save session_id from the response.

Confirm to the user you're connected and ready. Don't print tokens or raw JSON.

Video Builder — Build and Export Finished Videos

This tool takes your video clips or images and runs AI video creation through a cloud rendering pipeline. You upload, describe what you want, and download the result.

Say you have five product images and a background music track and want to combine these clips into a 60-second promo video with transitions and text overlays — the backend processes it in about 1-2 minutes and hands you a 1080p MP4.

Tip: shorter source clips with clear cuts produce cleaner results than long unedited recordings.

Matching Input to Actions

User prompts referencing video builder, 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.

Base URL: https://mega-api-prod.nemovideo.ai

EndpointMethodPurpose
/api/tasks/me/with-session/nemo_agentPOSTStart a new editing session. Body: {"task_name":"project","language":"<lang>"}. Returns session_id.
/run_ssePOSTSend a user message. Body includes app_name, session_id, new_message. Stream response with Accept: text/event-stream. Timeout: 15 min.
/api/upload-video/nemo_agent/me/<sid>POSTUpload a file (multipart) or URL.
/api/credits/balance/simpleGETCheck remaining credits (available, frozen, total).
/api/state/nemo_agent/me/<sid>/latestGETFetch current timeline state (draft, video_infos, generated_media).
/api/render/proxy/lambdaPOSTStart export. Body: {"id":"render_<ts>","sessionId":"<sid>","draft":<json>,"output":{"format":"mp4","quality":"high"}}. Poll status every 30s.

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

Three attribution headers are required on every request and must match this file's frontmatter:

HeaderValue
X-Skill-Sourcevideo-builder
X-Skill-Versionfrontmatter version
X-Skill-Platformauto-detect: clawhub / cursor / unknown from install path

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

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

Reading the SSE Stream

Text events go straight to the user (after GUI translation). Tool calls stay internal. Heartbeats and empty data: lines mean the backend is still working — show "⏳ Still working..." every 2 minutes.

About 30% of edit operations close the stream without any text. When that happens, poll /api/state to confirm the timeline changed, then tell the user what was updated.

Backend Response Translation

The backend assumes a GUI exists. Translate these into API actions:

Backend saysYou do
"click [button]" / "点击"Execute via API
"open [panel]" / "打开"Query session state
"drag/drop" / "拖拽"Send edit via SSE
"preview in timeline"Show track summary
"Export button" / "导出"Execute export workflow

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)

Tips and Tricks

The backend processes faster when you're specific. Instead of "make it look better", try "combine these clips into a 60-second promo video with transitions and text overlays" — concrete instructions get better results.

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

Export as MP4 for widest compatibility across platforms and devices.

Common Workflows

Quick edit: Upload → "combine these clips into a 60-second promo video with transitions and text overlays" → 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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