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Agent Skill · 效率

grok-ai-video-generator-free(grok ai 视频生成器免费)

用于辅助视频生成、动画合成、脚本化剪辑或 Remotion 等视频项目开发。它适合让 Agent 组织镜头、生成素材说明、维护合成代码或排查渲染问题。使用时需要确认分辨率、时长、素材路径和导出格式;涉及外部素材、人物肖像或商业发布时,应先核对版权授权和内容审核要求。

grok-ai-video-generator-free 是效率类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为接触敏感数据;许可证为 MIT-0,第三方扫描已通过,按安装量在效率类的 21,003 个 Skill 里排第 9,226。

总安装 6,240周安装 250GitHub Stars 公开资料未说明下载 2,020核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
1.0.3

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:grok-ai-video-generator-free(grok ai 视频生成器免费)
来源仓库:https://github.com/peand-rover/grok-ai-video-generator-free
安装命令:
openclaw skills install grok-ai-video-generator-free
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install grok-ai-video-generator-free

这个 Skill 是做什么的

效率类 Skill 把重复的整理、汇总、转换工作交给助手完成,减少手工复制粘贴。

支持通过对话提示构建、混合和转换视频内容,无需传统时间轴编辑。适合在 OpenClaw 中辅助视频项目开发、镜头组织和素材合成任务。通过 clawhub 安装,安装命令为 openclaw skills install grok-ai-video-generator-free,依赖外部模型服务。

使用前需确认分辨率、时长和导出格式要求,涉及版权素材时应核查授权许可。注意商业发布或人物肖像使用时必须遵守平台内容政策与隐私法规。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install grok-ai-video-generator-free;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要接触敏感数据,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

grok-ai-video-generator-free 怎么安装?

在终端执行 openclaw skills install grok-ai-video-generator-free。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

grok-ai-video-generator-free 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

grok-ai-video-generator-free 需要什么权限?

权限级别是接触敏感数据。该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

grok-ai-video-generator-free 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

grok-ai-video-generator-free 用的人多吗?

公开数据是累计安装 6,240 次,近一周安装 250 次,下载 2,020 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

grok-ai-video-generator-free 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理效率类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 需要厂商级技术支持和 SLA 的生产系统。

效率类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
github

GitHub 代码协作 · OpenClaw

7,632,918545需要联网MIT-0通过
nano-pdf

Nano PDF 文档 · OpenClaw

4,249,476231需要联网MIT-0通过
auto-updater

自动更新程序 · OpenClaw

2,964,063386操作浏览器MIT-0通过
video-frames

视频帧 · OpenClaw

2,621,304112需要联网MIT-0通过
gemini

Gemini 助手 · OpenClaw

2,547,39648需要联网MIT-0有提醒
grok-ai-video-generator-free

grok ai 视频生成器免费 · 本页

6,240—接触敏感数据MIT-0通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
grok-ai-video-generator-free
version
1.0.3
displayName
Grok AI Video Generator Free — Create & Edit Videos Instantly
description
>
metadata
{"openclaw": {"emoji": "🎬", "requires": {"env": [], "configPaths": ["~/.config/nemovideo/"]}, "primaryEnv": "NEMO_TOKEN"}}
homepage
https://nemovideo.com
repository
https://github.com/nemovideo/nemovideo_skills

0. First Contact

When the user opens this skill or sends their first message, greet them immediately:

📹 Welcome! I can grok ai video generator free for you. Share a video file or tell me your idea!

Try saying:

  • "edit my video"
  • "help me create a short video"
  • "add effects to this clip"

IMPORTANT: Always greet the user proactively on first contact. Let them know you're setting up while connecting. Always greet the user proactively on first contact.

Auto-Setup

When the user first interacts, set up the connection:

  1. Check token: If NEMO_TOKEN env var is set, use it. Otherwise:
  2. Read or generate Client-ID:

- Read ~/.config/nemovideo/client_id if it exists - Otherwise generate a UUID, save it to ~/.config/nemovideo/client_id

  1. Acquire anonymous token:
   curl -s -X POST "$API/api/auth/anonymous-token" -H "X-Client-Id: $CLIENT_ID"

Store the returned token as NEMO_TOKEN for this session. You get 100 free credits.

  1. Create a session (§3.0) so you're ready to work immediately.

Let the user know briefly: "Setting things up… ready!" then proceed with their request.

Converse Your Way to Polished Video Output

Most video tools demand you learn their interface before you can produce anything useful. The grok-ai-video-generator-free skill flips that relationship entirely — you describe what you want in everyday language, and the skill handles the technical execution. Whether you are assembling a product walkthrough, cutting a highlight reel, or generating a scene from a written concept, the interaction feels less like operating software and more like briefing a skilled editor.

Behind each request, the OpenClaw agent interprets your intent, breaks it into discrete video operations, and coordinates the generation or editing pipeline accordingly. It understands context across a conversation, so follow-up instructions like 'make the intro shorter' or 'swap the background music' apply cleanly to prior work without starting over from scratch.

This skill is particularly well-suited for creators who iterate rapidly — draft a version, critique it in chat, refine it, and export. Because the agent retains session context, multi-step projects stay coherent from first prompt to final render. Output can be downloaded in your preferred container format including mp4, mov, avi, webm, and mkv.

Environment Variables

VariableRequiredDefault
NEMO_TOKENNoAuto-generated (100 free credits, expires in 7 days, revocable via Settings → API Tokens)
NEMO_API_URLNohttps://mega-api-prod.nemovideo.ai
NEMO_WEB_URLNohttps://nemovideo.com
NEMO_CLIENT_IDNoAuto-generated UUID, persisted to ~/.config/nemovideo/client_id (UUID only, no secrets)
SKILL_SOURCENoAuto-detected from install path, fallback unknown

If NEMO_TOKEN is not set, get one (requires X-Client-Id header):

# Generate or read persisted Client-Id
CLIENT_ID="${NEMO_CLIENT_ID:-$(cat ~/.config/nemovideo/client_id 2>/dev/null)}"
if [ -z "$CLIENT_ID" ]; then
  CLIENT_ID=$(uuidgen 2>/dev/null || echo "client-$(date +%s)-$RANDOM")
  mkdir -p ~/.config/nemovideo & echo "$CLIENT_ID" > ~/.config/nemovideo/client_id
fi
curl -s -X POST "$API/api/auth/anonymous-token" -H "X-Client-Id: $CLIENT_ID"
# → {"code":0,"data":{"token":"nmv_usr_xxx","credits":100,...}}

Save token as NEMO_TOKEN, CLIENT_ID as NEMO_CLIENT_ID. Anonymous: 1 token per client per 7 days; token expires in 7 days and can be revoked at any time via Settings → API Tokens on nemovideo.com. If your token expires, request a new one with the same X-Client-Id.

Local persistence: This skill writes ~/.config/nemovideo/client_id to persist the Client-Id across sessions. This avoids generating a new ID on every request, which would hit the per-IP rate limit quickly (default 10 tokens per 7 days per IP). The file contains only a UUID — no credentials are stored locally.

2. Routing Requests to the Correct Endpoint

Use the table below to determine which endpoint handles each type of user request.

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❌

3. Primary Workflow Procedures

$API = ${NEMO_API_URL:-https://mega-api-prod.nemovideo.ai}, $TOKEN = ${NEMO_TOKEN}, $WEB = ${NEMO_WEB_URL:-https://nemovideo.com}.

Skill attribution variables — do NOT hardcode:

  • $SKILL_NAME = this file's YAML frontmatter name
  • $SKILL_VERSION = this file's YAML frontmatter version
  • $SKILL_SOURCE = detect at runtime using the first match:

1. Env SKILL_SOURCE if set 2. If this file's path contains a known platform directory (e.g. ~/.clawhub/ → clawhub, ~/.cursor/skills/ → cursor) 3. Fallback: unknown

CRITICAL: ALL API requests (including render/export/upload/state/credits) MUST include these headers. Missing them will cause export to fail with 402.

X-Skill-Source: $SKILL_NAME
X-Skill-Version: $SKILL_VERSION
X-Skill-Platform: $SKILL_SOURCE

3.0 Establishing a Session

curl -s -X POST "$API/api/tasks/me/with-session/nemo_agent" \
  -H "Authorization: Bearer $TOKEN" -H "Content-Type: application/json" \
  -H "X-Skill-Source: $SKILL_NAME" -H "X-Skill-Version: $SKILL_VERSION" -H "X-Skill-Platform: $SKILL_SOURCE" \
  -d '{"task_name":"project","language":"<lang>"}'
# → {"code":0,"data":{"task_id":"...","session_id":"..."}}

A session must be initialized before any other operations can proceed. Each session provides the context required for subsequent API interactions.

Open in browser: After creating a session, give the user a link to view/edit the task in NemoVideo: $WEB/workspace/claim?task={task_id}&session={session_id}&skill_name=$SKILL_NAME&skill_version=$SKILL_VERSION&skill_source=$SKILL_SOURCE

3.1 Delivering Messages Through SSE

curl -s -X POST "$API/run_sse" \
  -H "Authorization: Bearer $TOKEN" -H "Content-Type: application/json" \
  -H "Accept: text/event-stream" -H "X-Skill-Source: $SKILL_NAME" -H "X-Skill-Version: $SKILL_VERSION" -H "X-Skill-Platform: $SKILL_SOURCE" --max-time 900 \
  -d '{"app_name":"nemo_agent","user_id":"me","session_id":"<sid>","new_message":{"parts":[{"text":"<msg>"}]}}'

All conversational messages are transmitted to the backend via a Server-Sent Events stream.

SSE Handling
EventAction
Text responseApply GUI translation (§4), present to user
Tool call/resultWait silently, don't forward
heartbeat / empty data:Keep waiting. Every 2 min: "⏳ Still working..."
Stream closesProcess final response

Typical durations: text 5-15s, video generation 100-300s, editing 10-30s.

Timeout: 10 min heartbeats-only → assume timeout. Never re-send during generation (duplicates + double-charge).

Ignore trailing "I encountered a temporary issue" if prior responses were normal.

Silent Response Fallback (CRITICAL)

Approximately 30% of edit operations return no text in the response. When this occurs: poll the task state endpoint, wait for a completed status, retrieve the output asset URL, and present the result to the user without implying an error occurred.

Two-stage generation: After a raw video is produced, the backend automatically triggers a second processing stage that appends background music and a title overlay. Both stages must reach completion before the final asset URL is surfaced to the user.

3.2 Handling File Uploads

File upload: curl -s -X POST "$API/api/upload-video/nemo_agent/me/<sid>" -H "Authorization: Bearer $TOKEN" -H "X-Skill-Source: $SKILL_NAME" -H "X-Skill-Version: $SKILL_VERSION" -H "X-Skill-Platform: $SKILL_SOURCE" -F "files=@/path/to/file"

URL upload: curl -s -X POST "$API/api/upload-video/nemo_agent/me/<sid>" -H "Authorization: Bearer $TOKEN" -H "Content-Type: application/json" -H "X-Skill-Source: $SKILL_NAME" -H "X-Skill-Version: $SKILL_VERSION" -H "X-Skill-Platform: $SKILL_SOURCE" -d '{"urls":["<url>"],"source_type":"url"}'

Use me in the path; backend resolves user from token.

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

Reference media such as images or clips can be uploaded directly and attached to generation requests.

3.3 Checking Available Credits

curl -s "$API/api/credits/balance/simple" -H "Authorization: Bearer $TOKEN" \
  -H "X-Skill-Source: $SKILL_NAME" -H "X-Skill-Version: $SKILL_VERSION" -H "X-Skill-Platform: $SKILL_SOURCE"
# → {"code":0,"data":{"available":XXX,"frozen":XX,"total":XXX}}

Query the credits endpoint before initiating generation to confirm the user has a sufficient balance.

3.4 Polling Task Status

curl -s "$API/api/state/nemo_agent/me/<sid>/latest" -H "Authorization: Bearer $TOKEN" \
  -H "X-Skill-Source: $SKILL_NAME" -H "X-Skill-Version: $SKILL_VERSION" -H "X-Skill-Platform: $SKILL_SOURCE"

Use me for user in path; backend resolves from token. Key fields: data.state.draft, data.state.video_infos, data.state.canvas_config, data.state.generated_media.

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

Draft ready for export when draft.t exists with at least one track with non-empty sg.

Track summary format:

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

3.5 Exporting and Delivering the Final Asset

Export does NOT cost credits. Only generation/editing consumes credits.

Triggering an export does not deduct any credits from the user's balance. To deliver the asset: (a) confirm task completion, (b) call the export endpoint, (c) await the export job status, (d) retrieve the download URL from the response, and (e) present the link to the user.

b) Submit: curl -s -X POST "$API/api/render/proxy/lambda" -H "Authorization: Bearer $TOKEN" -H "Content-Type: application/json" -H "X-Skill-Source: $SKILL_NAME" -H "X-Skill-Version: $SKILL_VERSION" -H "X-Skill-Platform: $SKILL_SOURCE" -d '{"id":"render_<ts>","sessionId":"<sid>","draft":<json>,"output":{"format":"mp4","quality":"high"}}'

Note: sessionId is camelCase (exception). On failure → new id, retry once.

c) Poll (every 30s, max 10 polls): curl -s "$API/api/render/proxy/lambda/<id>" -H "Authorization: Bearer $TOKEN" -H "X-Skill-Source: $SKILL_NAME" -H "X-Skill-Version: $SKILL_VERSION" -H "X-Skill-Platform: $SKILL_SOURCE"

Status at top-level status: pending → processing → completed / failed. Download URL at output.url.

d) Download from output.url → send to user. Fallback: $API/api/render/proxy/<id>/download.

e) When delivering the video, always also give the task detail link: $WEB/workspace/claim?task={task_id}&session={session_id}&skill_name=$SKILL_NAME&skill_version=$SKILL_VERSION&skill_source=$SKILL_SOURCE

Progress messages: start "⏳ Rendering ~30s" → "⏳ 50%" → "✅ Video ready!" + file + task detail link.

3.6 Recovering from an SSE Disconnection

If the SSE stream drops unexpectedly, follow these steps: (1) capture the last known task ID before the connection was lost; (2) wait a minimum of three seconds before attempting reconnection; (3) re-establish the SSE stream using the same session token; (4) resume polling the task state endpoint with the saved task ID; (5) once a terminal status is confirmed, deliver the result to the user as normal.

4. Mapping GUI Elements to API Behavior

The backend operates under the assumption that a graphical interface is present, so GUI-specific instructions must never be forwarded verbatim in API payloads.

Backend saysYou do
"click [button]" / "点击"Execute via API
"open [panel]" / "打开"Show state via §3.4
"drag/drop" / "拖拽"Send edit via SSE
"preview in timeline"Show track summary
"Export button" / "导出"Execute §3.5
"check account/billing"Check §3.3

Keep content descriptions. Strip GUI actions.

5. Recommended Interaction Patterns

  • Acknowledge the user's request immediately, then begin the API call in the background so they are never left waiting in silence.
  • Surface progress updates at meaningful intervals by polling task status and relaying state changes conversationally.
  • When a silent response occurs, present the completed output naturally rather than flagging an error.
  • Always confirm credit availability before launching a generation task, and alert the user proactively if the balance is insufficient.
  • After export, deliver the final download URL with a brief description of the output so the user understands exactly what was produced.

6. Known Constraints and Limitations

  • Video generation is asynchronous; real-time streaming of rendered frames is not supported.
  • A single session token cannot be shared across concurrent requests simultaneously.
  • Maximum input prompt length and supported media formats are defined by the backend and cannot be overridden at the API layer.
  • Credit balances are read-only through this integration; top-ups must be completed through the platform's billing interface.
  • SSE connections may time out during long-running tasks, requiring the disconnection recovery procedure outlined in section 3.6.

7. Error Handling Reference

The table below maps common HTTP status codes and backend error identifiers to the appropriate recovery action.

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 at nemovideo.ai"
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 at nemovideo.ai to unlock export."
429Rate limit (1 token/client/7 days)Retry in 30s once

Common: no video → generate first; render fail → retry new id; SSE timeout → §3.6; silent edit → §3.1 fallback.

8. API Version and Permission Scopes

Before making any calls, verify that the API version targeted matches the version this skill was authored against. Token scopes must include permissions for session creation, messaging, upload, export, and credit inquiry; requests made with a token missing any required scope will be rejected with a 403 response.

平台分布

OpenClaw

87.99%
按下载量换算1,777

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

接触敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

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