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Ai Video Generator Free Grok

作者 vcarolxhberger · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ 安全检测通过
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在 OpenClaw 中安装
/install ai-video-generator-free-grok
功能描述
Get AI-generated videos ready to post, without touching a single slider. Upload your text prompts (MP4, MOV, WebM, GIF, up to 200MB), say something like "gen...
使用说明 (SKILL.md)

Getting Started

Share your text prompts and I'll get started on AI video generation. Or just tell me what you're thinking.

Try saying:

  • "generate my text prompts"
  • "export 1080p MP4"
  • "generate a 30-second video from this"

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.

AI Video Generator Free Grok — Generate Videos from Text Prompts

This tool takes your text prompts and runs AI video generation through a cloud rendering pipeline. You upload, describe what you want, and download the result.

Say you have a short text description of a product demo scene and want to generate a 30-second video from this script using Grok AI for free — the backend processes it in about 1-2 minutes and hands you a 1080p MP4.

Tip: shorter and more specific prompts produce more accurate video results.

Matching Input to Actions

User prompts referencing ai video generator free grok, 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.

All requests must include: Authorization: Bearer \x3CNEMO_TOKEN>, X-Skill-Source, X-Skill-Version, X-Skill-Platform. Missing attribution headers will cause export to fail with 402.

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

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

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

Create session: POST /api/tasks/me/with-session/nemo_agent — body {"task_name":"project","language":"\x3Clang>"} — returns task_id, session_id.

Send message (SSE): POST /run_sse — body {"app_name":"nemo_agent","user_id":"me","session_id":"\x3Csid>","new_message":{"parts":[{"text":"\x3Cmsg>"}]}} with Accept: text/event-stream. Max timeout: 15 minutes.

Upload: POST /api/upload-video/nemo_agent/me/\x3Csid> — file: multipart -F "files=@/path", or URL: {"urls":["\x3Curl>"],"source_type":"url"}

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

Session state: GET /api/state/nemo_agent/me/\x3Csid>/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_\x3Cts>","sessionId":"\x3Csid>","draft":\x3Cjson>,"output":{"format":"mp4","quality":"high"}}. Poll GET /api/render/proxy/lambda/\x3Cid> 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.

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=\x3Cid>, 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

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

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.

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)

Common Workflows

Quick edit: Upload → "generate a 30-second video from this script using Grok AI for free" → 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 using Grok AI for free" — concrete instructions get better results.

Max file size is 200MB. Stick to MP4, MOV, WebM, GIF for the smoothest experience.

Export as MP4 for widest compatibility across social platforms.

安全使用建议
This skill appears coherent for a cloud video-generation integration. Before installing, consider: (1) the skill will send any uploaded media and text prompts to https://mega-api-prod.nemovideo.ai — do you trust that service with your content and PII? (2) If you set NEMO_TOKEN in your environment it will be used directly; otherwise the skill will request an anonymous token from the same API. (3) The metadata declares a config path (~/.config/nemovideo/) that the instructions do not mention — benign but avoid placing sensitive files there unless you trust the service. If you are unsure, avoid putting long-lived credentials in NEMO_TOKEN, test with anonymous usage first, and review network/activity logs or use an isolated environment.
能力评估
Purpose & Capability
The skill claims to generate videos via a Nemo/Grok backend and only requests NEMO_TOKEN (primary credential) which matches that purpose. Minor mismatch: registry metadata lists a required config path (~/.config/nemovideo/) that the runtime instructions do not reference; this is likely benign but is an unexplained metadata entry.
Instruction Scope
SKILL.md instructs the agent to create or use an API token, create sessions, upload user-provided media, send SSE messages, and poll export endpoints — all coherent with a cloud render pipeline. The instructions read their own YAML frontmatter and detect install path for attribution headers; they do not tell the agent to read arbitrary unrelated files or other credentials.
Install Mechanism
No install spec or external downloads are used — this is instruction-only, so nothing is written to disk by an installer. Risk from install mechanism is low.
Credentials
Only a single environment variable (NEMO_TOKEN) is declared as required and is appropriate for a remote API. The skill also has logic to obtain an anonymous token if no token is present, which reduces the need for user-supplied secrets.
Persistence & Privilege
always is false and the skill does not request system-wide changes or access to other skills' configuration. It only reads its own frontmatter and may inspect its install path for header attribution.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install ai-video-generator-free-grok
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /ai-video-generator-free-grok 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.0
AI Video Generator Free Grok 1.0.0 — Initial Release - Generate AI-powered videos from text prompts using Grok AI, with free session tokens and no subscription required. - Supports uploads up to 200MB (MP4, MOV, WebM, GIF) and exports in 1080p MP4. - Integrated workflows for uploading, video editing via chat, previewing, and exporting. - Real-time status updates and automatic handling of backend session/token management. - Designed for fast, intuitive content creation with tips for best results.
元数据
Slug ai-video-generator-free-grok
版本 1.0.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

Ai Video Generator Free Grok 是什么?

Get AI-generated videos ready to post, without touching a single slider. Upload your text prompts (MP4, MOV, WebM, GIF, up to 200MB), say something like "gen... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 82 次。

如何安装 Ai Video Generator Free Grok?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install ai-video-generator-free-grok」即可一键安装,无需额外配置。

Ai Video Generator Free Grok 是免费的吗?

是的,Ai Video Generator Free Grok 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Ai Video Generator Free Grok 支持哪些平台?

Ai Video Generator Free Grok 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Ai Video Generator Free Grok?

由 vcarolxhberger(@vcarolxhberger)开发并维护,当前版本 v1.0.0。

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