Video Creator Ai Free

Turn five product photos and a logo file into 1080p ready-to-share videos just by typing what you need. Whether it's generating videos from images or clips w...

Security Scan

The skill's requested access and runtime instructions are consistent with a cloud-based video creation service, but there are a few minor inconsistencies and privacy considerations you should understand before installing.

Purpose & Capability

Name/description (create videos from images/clips) align with the runtime actions: uploading media, creating a session, sending SSE messages, and requesting renders. Requesting a service token (NEMO_TOKEN) and a per-session session_id is expected for this functionality.

Instruction Scope

Instructions direct the agent to create an anonymous token if none is set, POST to the external backend, store the returned token and session_id, upload user media (multipart or URL), and read session state via API. This is within the stated purpose, but the skill will autonomously upload user-provided files and store credentials/session identifiers—users should be aware their media and session tokens are sent to mega-api-prod.nemovideo.ai and persisted for later requests. The SKILL.md instructs not to display raw tokens, but does not specify secure storage location or retention policy.

Install Mechanism

Instruction-only skill with no install spec or code files — lowest disk/installation risk. All behavior is via runtime HTTP calls to the remote service.

Credentials

Only a single credential (NEMO_TOKEN) is declared as required, which is appropriate. However, SKILL.md frontmatter references a config path (~/.config/nemovideo/) while the registry metadata listed none—this mismatch is an inconsistency. The skill will create and store an anonymous token automatically if NEMO_TOKEN is absent; storing credentials without explicit user control may be surprising to some users.

Persistence & Privilege

always is false and the skill does not request system-wide changes or other skills' credentials. It does instruct storing its own token/session state (expected for a remote API client) but does not request elevated or persistent platform privileges.

Assessment

This skill appears to do what it says—it uploads images/clips to a remote rendering service (mega-api-prod.nemovideo.ai), obtains/stores a short-lived token if you don't provide one, and returns a download URL for rendered video. Before installing: (1) Confirm you are comfortable with your media being uploaded to that external host and check any privacy/retention policy if available; (2) Prefer supplying your own NEMO_TOKEN if you have one instead of allowing automatic anonymous token creation; (3) Ask where the skill stores the token/session (environment variable vs ~/.config/nemovideo/) and whether it's encrypted; (4) Note there is no homepage or verifiable publisher listed—if provenance matters, request publisher info or an official domain; (5) Avoid uploading sensitive files (documents, private images) until you verify the service's data handling. Providing the skill's homepage, publisher details, or the service's privacy/terms would raise confidence to high.

Getting Started

Got images or clips to work with? Send it over and tell me what you need — I'll take care of the AI video creation.

Try saying:

• "create five product photos and a logo file into a 1080p MP4"
• "turn these photos into a 30-second promotional video with music and text overlays"
• "generating videos from images or clips without editing software for content creators and small business owners"

First-Time Connection

When a user first opens this skill, connect to the processing backend automatically. Briefly let them know (e.g. "Setting up...").

Authentication: Check if NEMO_TOKEN is set in the environment. If it is, skip to step 2.

1. Obtain a free token: Generate a random UUID as client identifier. POST to https://mega-api-prod.nemovideo.ai/api/auth/anonymous-token with header X-Client-Id set to that UUID. The response data.token is your NEMO_TOKEN — 100 free credits, valid 7 days.
2. Create a session: POST to https://mega-api-prod.nemovideo.ai/api/tasks/me/with-session/nemo_agent with Authorization: Bearer <token>, Content-Type: application/json, and body {"task_name":"project","language":"<detected>"}. Store the returned session_id for all subsequent requests.

Keep setup communication brief. Don't display raw API responses or token values to the user.

Video Creator AI Free — Create and Export Videos Free

Send me your images or clips and describe the result you want. The AI video creation runs on remote GPU nodes — nothing to install on your machine.

A quick example: upload five product photos and a logo file, type "turn these photos into a 30-second promotional video with music and text overlays", and you'll get a 1080p MP4 back in roughly 1-2 minutes. All rendering happens server-side.

Worth noting: using 5-10 images gives the AI enough material to build smooth transitions.

Matching Input to Actions

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

User says...	Action	Skip 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.

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

Header	Value
X-Skill-Source	video-creator-ai-free
X-Skill-Version	frontmatter version
X-Skill-Platform	auto-detect: clawhub / cursor / unknown from install path

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.

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.

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 field mapping: t=tracks, tt=track type (0=video, 1=audio, 7=text), sg=segments, d=duration(ms), m=metadata.

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

Error Codes

• 0 — success, continue normally
• 1001 — token expired or invalid; re-acquire via /api/auth/anonymous-token
• 1002 — session not found; create a new one
• 2001 — out of credits; anonymous users get a registration link with ?bind=<id>, registered users top up
• 4001 — unsupported file type; show accepted formats
• 4002 — file too large; suggest compressing or trimming
• 400 — missing X-Client-Id; generate one and retry
• 402 — free plan export blocked; not a credit issue, subscription tier
• 429 — rate limited; wait 30s and retry once

Common Workflows

Quick edit: Upload → "turn these photos into a 30-second promotional video with music 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.

Tips and Tricks

The backend processes faster when you're specific. Instead of "make it look better", try "turn these photos into a 30-second promotional video with music 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.