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Free Video Generation Grok

v1.0.0

Turn a short text description of a sunset over the ocean into 1080p AI-generated videos just by typing what you need. Whether it's generating free videos fro...

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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 vcarolxhberger/free-video-generation-grok.

Previewing Install & Setup.
Prompt PreviewInstall & Setup
Install the skill "Free Video Generation Grok" (vcarolxhberger/free-video-generation-grok) from ClawHub.
Skill page: https://clawhub.ai/vcarolxhberger/free-video-generation-grok
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 free-video-generation-grok

ClawHub CLI

Package manager switcher

npx clawhub@latest install free-video-generation-grok
Security Scan
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OpenClawOpenClaw
Suspicious
medium confidence
Purpose & Capability
Name/description align with making video renders via a remote API and the SKILL.md declares NEMO_TOKEN as the primary credential and calls nemovideo.ai endpoints — that is coherent. However, the registry metadata reported no required config paths while the SKILL.md frontmatter lists a config path (~/.config/nemovideo/) — this mismatch should be clarified. Also the skill has no homepage or verifiable source and the owner ID is opaque, which reduces provenance confidence.
Instruction Scope
Runtime instructions are detailed and stay within the video-generation domain: authenticating (either using NEMO_TOKEN or obtaining an anonymous token), creating sessions, sending SSE messages, uploads, exports, and polling render status. The skill instructs the agent to detect install paths (~/.clawhub, ~/.cursor/skills/) to populate X-Skill-Platform headers — that requires reading filesystem paths (a minor scope expansion). The instructions do not ask to read unrelated user files or other environment variables, nor to exfiltrate data to unexpected endpoints (all endpoints are at mega-api-prod.nemovideo.ai).
Install Mechanism
No install spec or code files — instruction-only. This is the lowest-risk install mechanism because nothing is downloaded or written by the skill package itself.
Credentials
Only one credential is required (NEMO_TOKEN) and it is appropriate for a cloud API integration. The SKILL.md also offers an anonymous-token flow that POSTs to the vendor's anonymous-token endpoint and uses that token for up to 7 days/100 credits — this is reasonable but means the skill will perform network calls to obtain temporary credentials if a token isn't supplied. The earlier registry summary said no config paths but SKILL.md requests ~/.config/nemovideo/ in frontmatter — this inconsistency should be resolved. No other unrelated secrets are requested.
Persistence & Privilege
The skill does not request always:true and uses the platform default for autonomous invocation. It does not declare any self-modifying installs or system-wide configuration changes. The only minor privilege-like action is detecting install path(s) to populate an attribution header, which requires reading limited filesystem paths in the user's home directory.
What to consider before installing
This skill appears to be a straightforward remote video-generation integration, but take these precautions before installing or using it: - Provenance: there is no homepage or verifiable source and the owner ID is opaque. Prefer skills from known authors or with a public project page. - Token use: NEMO_TOKEN grants API access to nemovideo.ai and can be used to upload content and trigger renders. Only provide a token scoped and limited to this service; avoid using long-lived or high-privilege tokens. If unsure, use the anonymous-token flow or create a throwaway/test token. - Data exposure: any text prompts and uploaded files will be sent to mega-api-prod.nemovideo.ai. Do not send sensitive, private, or regulated data (PII, passwords, proprietary content) unless you trust the service and its retention policy. - Filesystem check: the skill will check common install paths to set an X-Skill-Platform header — this requires reading some paths in your home directory. If you prefer the skill not to read filesystem locations, request a version that omits platform detection. - Metadata mismatch: the SKILL.md frontmatter lists a config path (~/.config/nemovideo/) while registry metadata claimed none — ask the author to clarify what local config (if any) the skill will read or write. - Verify endpoints: the skill uses HTTPS endpoints on nemovideo.ai; confirm you expect the service and review its privacy/terms if you plan to upload content. If you want to proceed: supply a scoped/limited NEMO_TOKEN (or rely on the anonymous-token flow), avoid uploading sensitive files, and consider asking the author for a provenance link or code repository to increase trust.

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

Runtime requirements

🎬 Clawdis
EnvNEMO_TOKEN
Primary envNEMO_TOKEN
latestvk972bggtpvxfbwa73wyyybdt1n85kbn8
44downloads
0stars
1versions
Updated 2d ago
v1.0.0
MIT-0

Getting Started

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

Try saying:

  • "generate a short text description of a sunset over the ocean into a 1080p MP4"
  • "generate a 30-second video clip from my text prompt using Grok AI"
  • "generating free videos from text prompts using Grok AI for content creators"

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.

Free Video Generation Grok — Generate Videos Free with Grok

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 text description of a sunset over the ocean, ask for generate a 30-second video clip from my text prompt using Grok AI, 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, more specific prompts tend to produce more accurate video results.

Matching Input to Actions

User prompts referencing free video generation grok, 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.

Skill attribution — read from this file's YAML frontmatter at runtime:

  • X-Skill-Source: free-video-generation-grok
  • X-Skill-Version: from frontmatter version
  • X-Skill-Platform: detect from install path (~/.clawhub/clawhub, ~/.cursor/skills/cursor, else 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

Common Workflows

Quick edit: Upload → "generate a 30-second video clip from my text prompt using Grok AI" → 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 clip from my text prompt using Grok AI" — concrete instructions get better results.

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

Export as MP4 for widest compatibility across social platforms.

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