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Video Maker Free Download

v1.0.0

Skip the learning curve of professional editing software. Describe what you want — combine these clips into a 60-second video with transitions and text overl...

0· 50·0 current·0 all-time
bypeandrover adam@peand-rover

Install

OpenClaw Prompt Flow

Install with OpenClaw

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

Previewing Install & Setup.
Prompt PreviewInstall & Setup
Install the skill "Video Maker Free Download" (peand-rover/video-maker-free-download) from ClawHub.
Skill page: https://clawhub.ai/peand-rover/video-maker-free-download
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-maker-free-download

ClawHub CLI

Package manager switcher

npx clawhub@latest install video-maker-free-download
Security Scan
VirusTotalVirusTotal
Benign
View report →
OpenClawOpenClaw
Suspicious
medium confidence
Purpose & Capability
Name/description claim cloud video creation and the skill asks for a NEMO_TOKEN and describes upload/render API calls — that aligns with the stated purpose. However the frontmatter metadata includes a config path (~/.config/nemovideo/) while the registry metadata earlier listed no required configPaths; there's no homepage or source to verify the backend. The mismatch and missing provenance reduce trustworthiness.
!
Instruction Scope
SKILL.md instructs the agent to upload user media and to create sessions and render jobs on https://mega-api-prod.nemovideo.ai — expected for the stated purpose. Concerns: (1) it tells the agent to derive and send X-Skill-Platform by inspecting the agent's install path (e.g., ~/.clawhub/, ~/.cursor/skills/), which requires probing local filesystem/paths and may leak environment details unnecessarily; (2) the doc contains a truncated mapping that appears to map GUI actions to shell commands (e.g., 'preview in timeline → sh …'), implying the agent may run shell commands — this is vague and grants broad discretion; (3) the fallback anonymous-token flow posts a generated client UUID to the API to obtain a token (fine in principle) but that means users who do not provide a token still have media and metadata sent to an external, unverified service. The instructions otherwise stay within the service domain (no unrelated system credential reads were found), but the path-detection and vague shell mapping are scope creep.
Install Mechanism
Instruction-only skill with no install spec or code files — nothing is written to disk by the skill itself. This is lowest-risk from an install perspective.
Credentials
Only one credential is declared: NEMO_TOKEN (primaryEnv). That is appropriate for a cloud API client. The SKILL.md also describes obtaining an anonymous token if NEMO_TOKEN isn't present. The frontmatter, however, references a config path (~/.config/nemovideo/) that could give the skill access to files not declared in registry metadata — an inconsistency worth clarifying. Do not provide unrelated secrets (AWS keys, personal API tokens).
Persistence & Privilege
always is false and the skill has no install step and does not request to modify other skills or system-wide settings. Autonomous invocation is allowed (default) but not combined with elevated privileges or persistence.
What to consider before installing
This skill appears to implement a cloud video-editing integration and asks for a single service token (NEMO_TOKEN) or will obtain an anonymous token by contacting mega-api-prod.nemovideo.ai. Before using it: (1) do not provide unrelated high-privilege credentials (AWS, Google, GitHub, etc.); only use a NEMO_TOKEN intended for this service. (2) Prefer the anonymous-token fallback if you don't have a trusted NEMO token, and avoid uploading sensitive or proprietary media until you verify the service's privacy terms. (3) Ask the publisher for a homepage, privacy policy, and source code or repository to confirm the backend is legitimate. (4) Clarify why the skill wants to detect install paths (it may leak presence of other tools) and what the truncated 'sh' mapping means — avoid installing if the skill needs arbitrary shell access. If you can't verify the backend and its data handling, treat uploads and any provided token as potentially exposed.

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

Runtime requirements

🎬 Clawdis
EnvNEMO_TOKEN
Primary envNEMO_TOKEN
latestvk97dkafxszvp39kqghqq3wm1v185j0ta
50downloads
0stars
1versions
Updated 2d ago
v1.0.0
MIT-0

Getting Started

Ready when you are. Drop your video clips or images here or describe what you want to make.

Try saying:

  • "create five product photos and a background music file into a 1080p MP4"
  • "combine these clips into a 60-second video with transitions and text overlays"
  • "creating shareable videos from photos and clips without desktop software for casual creators and small business owners"

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.

Video Maker Free Download — Create and Export Videos Online

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

Here's a typical use: you send a five product photos and a background music file, ask for combine these clips into a 60-second video with transitions and text overlays, 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 2 minutes render significantly faster.

Matching Input to Actions

User prompts referencing video maker free download, 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.

Headers are derived from this file's YAML frontmatter. X-Skill-Source is video-maker-free-download, 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).

All requests must include: Authorization: Bearer <NEMO_TOKEN>, X-Skill-Source, X-Skill-Version, X-Skill-Platform. Missing attribution headers will cause export to fail with 402.

API base: https://mega-api-prod.nemovideo.ai

Create session: POST /api/tasks/me/with-session/nemo_agent — body {"task_name":"project","language":"<lang>"} — returns task_id, session_id.

Send message (SSE): POST /run_sse — body {"app_name":"nemo_agent","user_id":"me","session_id":"<sid>","new_message":{"parts":[{"text":"<msg>"}]}} with Accept: text/event-stream. Max timeout: 15 minutes.

Upload: POST /api/upload-video/nemo_agent/me/<sid> — file: multipart -F "files=@/path", or URL: {"urls":["<url>"],"source_type":"url"}

Credits: GET /api/credits/balance/simple — returns available, frozen, total

Session state: GET /api/state/nemo_agent/me/<sid>/latest — key fields: data.state.draft, data.state.video_infos, data.state.generated_media

Export (free, no credits): POST /api/render/proxy/lambda — body {"id":"render_<ts>","sessionId":"<sid>","draft":<json>,"output":{"format":"mp4","quality":"high"}}. Poll GET /api/render/proxy/lambda/<id> every 30s until status = completed. Download URL at output.url.

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

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.

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

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)

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 "combine these clips into a 60-second 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 social platforms and devices.

Common Workflows

Quick edit: Upload → "combine these clips into a 60-second 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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