Chatgpt Video Generator Free Download

Turn a short paragraph describing a product launch scene into 1080p AI generated videos just by typing what you need. Whether it's generating videos from tex...

Security Scan

The skill's declared purpose (cloud AI video generation) mostly matches its instructions, but there are inconsistencies and privacy/operational concerns (unknown external backend, automatic token issuance/storage, and a metadata mismatch) that warrant caution before installing.

Purpose & Capability

The skill claims to generate videos in the cloud and only requests a single service credential (NEMO_TOKEN), which is coherent for a hosted video-rendering service. However, the SKILL.md YAML frontmatter includes a config path (~/.config/nemovideo/) while the registry metadata earlier listed no required config paths — this mismatch is unexplained and worth asking the author about.

Instruction Scope

Instructions require the agent to contact an external API (https://mega-api-prod.nemovideo.ai) for anonymous token issuance and session management, upload user files, stream SSE responses, and persist a session_id/token for future calls. The skill explicitly tells the agent not to display raw API responses or token values to the user, which is reasonable for secrets but also reduces transparency. The runtime directions include detecting install path to set an attribution header, which requires reading agent environment context. These behaviors are expected for a cloud render service, but the automatic token acquisition and opaque storage/persistence are potential privacy risks.

Install Mechanism

Instruction-only skill with no install spec and no code files — the lowest install risk. All execution is via network calls defined in SKILL.md; nothing is written by an install script according to the manifest.

Credentials

Only NEMO_TOKEN is declared as required, which fits a cloud API integration. Still, the frontmatter's configPaths (~/.config/nemovideo/) suggests the skill might read or write a local config directory, which is not justified by the registry metadata and should be clarified. The skill does not request unrelated service credentials.

Persistence & Privilege

The skill is not always-enabled and allows autonomous invocation (platform default). It instructs storing session_id and obtaining/storing an anonymous token valid for days; where and how these are persisted (in-memory, skill storage, or written to disk/environment) is unspecified and should be clarified because persistent tokens increase blast radius if misused.

What to consider before installing

This skill appears to be a straightforward cloud video-generator but contacts an external endpoint (mega-api-prod.nemovideo.ai) and can obtain/store anonymous tokens and session IDs automatically. Before installing, confirm: (1) who operates mega-api-prod.nemovideo.ai (privacy / owner), (2) where the token/session_id will be stored and for how long, (3) what data (scripts, uploaded files, generated videos, metadata) the service retains or shares, and (4) why the SKILL.md lists a local config path while registry metadata does not. Avoid uploading sensitive footage or secrets until you verify the service's privacy policy and storage/retention practices. If uncertain, request the skill author provide a homepage, publisher contact, and a clear privacy/security statement.

Getting Started

Ready when you are. Drop your text prompts here or describe what you want to make.

Try saying:

• "generate a short paragraph describing a product launch scene into a 1080p MP4"
• "generate a 30-second video from this script about a new smartphone release"
• "generating videos from text prompts without manual editing for content creators"

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.

ChatGPT Video Generator Free Download — Generate Videos from Text Prompts

Drop your text prompts in the chat and tell me what you need. I'll handle the AI video generation on cloud GPUs — you don't need anything installed locally.

Here's a typical use: you send a a short paragraph describing a product launch scene, ask for generate a 30-second video from this script about a new smartphone release, 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 and more specific prompts tend to produce more accurate video results.

Matching Input to Actions

User prompts referencing chatgpt video generator free download, 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.

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

Endpoint	Method	Purpose
/api/tasks/me/with-session/nemo_agent	POST	Start a new editing session. Body: {"task_name":"project","language":"<lang>"}. Returns session_id.
/run_sse	POST	Send 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>	POST	Upload a file (multipart) or URL.
/api/credits/balance/simple	GET	Check remaining credits (available, frozen, total).
/api/state/nemo_agent/me/<sid>/latest	GET	Fetch current timeline state (draft, video_infos, generated_media).
/api/render/proxy/lambda	POST	Start 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.

Headers are derived from this file's YAML frontmatter. X-Skill-Source is chatgpt-video-generator-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).

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

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

SSE Event Handling

Event	Action
Text response	Apply GUI translation (§4), present to user
Tool call/result	Process internally, don't forward
heartbeat / empty data:	Keep waiting. Every 2 min: "⏳ Still working..."
Stream closes	Process 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.

Backend Response Translation

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

Backend says	You 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)

Common Workflows

Quick edit: Upload → "generate a 30-second video from this script about a new smartphone release" → 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 "generate a 30-second video from this script about a new smartphone release" — 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 platforms and devices.