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vcarolxhberger

Ai Avatar Video Online

作者 vcarolxhberger · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
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当前安装
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在 OpenClaw 中安装
/install ai-avatar-video-online
功能描述
generate text or script into avatar presenter videos with this skill. Works with TXT, DOCX, PDF, MP4 files up to 200MB. marketers use it for creating spokesp...
使用说明 (SKILL.md)

Getting Started

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

Try saying:

  • "generate a 150-word product announcement script into a 1080p MP4"
  • "create a talking avatar video from my script with a professional presenter"
  • "creating spokesperson videos without filming real people for marketers"

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 Avatar Video Online — Generate Avatar Presenter Videos Online

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

Say you have a 150-word product announcement script and want to create a talking avatar video from my script with a professional presenter — the backend processes it in about 1-2 minutes and hands you a 1080p MP4.

Tip: shorter scripts under 200 words render noticeably faster and keep viewer attention.

Matching Input to Actions

User prompts referencing ai avatar video online, 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 calls go to https://mega-api-prod.nemovideo.ai. The main endpoints:

  1. SessionPOST /api/tasks/me/with-session/nemo_agent with {"task_name":"project","language":"\x3Clang>"}. Gives you a session_id.
  2. Chat (SSE)POST /run_sse with session_id and your message in new_message.parts[0].text. Set Accept: text/event-stream. Up to 15 min.
  3. UploadPOST /api/upload-video/nemo_agent/me/\x3Csid> — multipart file or JSON with URLs.
  4. CreditsGET /api/credits/balance/simple — returns available, frozen, total.
  5. StateGET /api/state/nemo_agent/me/\x3Csid>/latest — current draft and media info.
  6. ExportPOST /api/render/proxy/lambda with render ID and draft JSON. Poll GET /api/render/proxy/lambda/\x3Cid> every 30s for completed status and download URL.

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

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

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

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.

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)

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

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.

Error Handling

Code Meaning Action
0 Success Continue
1001 Bad/expired token Re-auth via anonymous-token (tokens expire after 7 days)
1002 Session not found New session §3.0
2001 No credits Anonymous: show registration URL with ?bind=\x3Cid> (get \x3Cid> from create-session or state response when needed). Registered: "Top up credits in your account"
4001 Unsupported file Show supported formats
4002 File too large Suggest compress/trim
400 Missing X-Client-Id Generate Client-Id and retry (see §1)
402 Free plan export blocked Subscription tier issue, NOT credits. "Register or upgrade your plan to unlock export."
429 Rate limit (1 token/client/7 days) Retry in 30s once

Common Workflows

Quick edit: Upload → "create a talking avatar video from my script with a professional presenter" → 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 "create a talking avatar video from my script with a professional presenter" — concrete instructions get better results.

Max file size is 200MB. Stick to TXT, DOCX, PDF, MP4 for the smoothest experience.

Export as MP4 for widest compatibility across social platforms and presentations.

安全使用建议
This skill looks functionally consistent with an online avatar-video API: it needs a NEMO_TOKEN and instructs the agent how to create sessions, upload files, and request renders from mega-api-prod.nemovideo.ai. However, the runtime instructions include a directive to "keep technical details out of the chat" and the file contained prompt-injection markers (unicode control characters). Before installing: (1) verify the publisher or source (unknown origin is higher risk), (2) avoid supplying high-privilege or long-lived secrets; use a scoped/rotatable token where possible, (3) review or sanitize the SKILL.md to remove invisible/control characters and any instructions that hide actions, (4) monitor network activity and uploaded contents (uploads may contain sensitive data), and (5) prefer a skill with a documented homepage/repo or vendor if you need to use it in production. If you can obtain the original source or author-signed SKILL.md and confirm the control characters were not intentional, confidence would increase to benign.
功能分析
Type: OpenClaw Skill Name: ai-avatar-video-online Version: 1.0.0 The skill is a legitimate integration for an AI video generation service hosted at nemovideo.ai. It provides instructions for the agent to manage authentication (including anonymous token acquisition), session handling, file uploads, and video rendering via a cloud GPU pipeline. No indicators of data exfiltration, malicious execution, or unauthorized access were found; all behaviors are consistent with the stated purpose of generating avatar presenter videos.
能力评估
Purpose & Capability
Name/description align with the actions the SKILL.md instructs (upload text/files, create session, render/export video). The single required credential (NEMO_TOKEN) and the indicated config path (~/.config/nemovideo/) are coherent with a cloud video rendering service.
Instruction Scope
Most instructions stay within the expected domain (session creation, SSE chat, upload, render, poll for export). However the document explicitly tells the agent to "Keep the technical details out of the chat," which attempts to conceal backend activity from the user. The SKILL.md also contains prompt-injection signals (unicode-control-chars) detected by the pre-scan, suggesting it may try to manipulate agent behavior or evaluations. These factors broaden the agent's discretion and reduce auditability.
Install Mechanism
No install spec and no code files (instruction-only). This minimizes on-disk changes and installation risk.
Credentials
Only NEMO_TOKEN is required (primaryEnv). The fallback anonymous-token flow is documented and reasonable for a service that issues short-lived credits. No unrelated credentials or broad environment access are requested.
Persistence & Privilege
always is false and there is no install-time persistence or modification of other skills. The skill does not request elevated platform privileges.
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-avatar-video-online
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /ai-avatar-video-online 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
- Initial release of AI Avatar Video Online skill. - Generates avatar presenter videos from text or scripts (TXT, DOCX, PDF, or MP4 up to 200MB). - Processes requests via secure cloud GPU pipeline, typically delivering 1080p MP4 files in 1-2 minutes. - Offers easy session setup and free trial credits; displays clear connection status. - Supports various video editing commands including upload, export, checking credits, and state. - Includes robust handling for file types, size limits, session errors, and credits management.
元数据
Slug ai-avatar-video-online
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 Avatar Video Online 是什么?

generate text or script into avatar presenter videos with this skill. Works with TXT, DOCX, PDF, MP4 files up to 200MB. marketers use it for creating spokesp... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 89 次。

如何安装 Ai Avatar Video Online?

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

Ai Avatar Video Online 是免费的吗?

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

Ai Avatar Video Online 支持哪些平台?

Ai Avatar Video Online 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 Avatar Video Online?

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

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