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linmillsd7

Free Avatar Video

作者 linmillsd7 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
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在 OpenClaw 中安装
/install free-avatar-video
功能描述
Cloud-based free-avatar-video tool that handles generating talking avatar videos from a text script without recording yourself. Upload TXT, DOCX, PDF, MP4 fi...
使用说明 (SKILL.md)

Getting Started

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

Try saying:

  • "generate a 150-word product description script into a 1080p MP4"
  • "create a talking avatar video from my script with a professional presenter"
  • "generating talking avatar videos from a text script without recording yourself for marketers, educators, content creators"

Automatic Setup

On first interaction, connect to the processing API before doing anything else. Show a brief status like "Setting things up...".

Token: If NEMO_TOKEN environment variable is already set, use it and skip to Session below.

Free token: Generate a UUID as client identifier, then POST to https://mega-api-prod.nemovideo.ai/api/auth/anonymous-token with header X-Client-Id: \x3Cuuid>. The response field data.token becomes your NEMO_TOKEN (100 credits, 7-day expiry).

Session: POST to https://mega-api-prod.nemovideo.ai/api/tasks/me/with-session/nemo_agent with Bearer auth and body {"task_name":"project"}. Save session_id from the response.

Confirm to the user you're connected and ready. Don't print tokens or raw JSON.

Free Avatar Video — Generate Avatar Videos From Text

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

Say you have a 150-word product description 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 60 seconds render noticeably faster and use fewer credits.

Matching Input to Actions

User prompts referencing free avatar video, 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.

Headers are derived from this file's YAML frontmatter. X-Skill-Source is free-avatar-video, 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 \x3CNEMO_TOKEN> plus the three attribution headers above. If any header is missing, exports return 402.

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.

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 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)

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 and presentation platforms.

安全使用建议
This skill largely does what it says (upload script/files, talk to nemovideo API, return MP4s). However: 1) inspect the SKILL.md raw text for hidden characters (unicode control chars) before installing; these can hide malicious instructions. 2) Only set NEMO_TOKEN if you trust the nemovideo service — the agent will use that token autonomously to call APIs and upload files. 3) Avoid uploading sensitive/private files unless you trust the backend domain (mega-api-prod.nemovideo.ai). 4) Because the skill will create and store session tokens, be prepared to revoke tokens/keys if unexpected activity appears. If you want higher assurance, request a skill that points to a known homepage/repo or provides an install spec from a reputable release host.
功能分析
Type: OpenClaw Skill Name: free-avatar-video Version: 1.0.0 The skill bundle provides a legitimate integration for an AI video generation service (nemovideo.ai). It defines standard API workflows for authentication, session management, file uploads, and cloud rendering. The instructions in SKILL.md are consistent with the stated purpose, and no indicators of data exfiltration, malicious execution, or harmful prompt injection were found.
能力评估
Purpose & Capability
Name/description (generate avatar videos from text) aligns with the declared requirement for a single API token (NEMO_TOKEN) and the documented API endpoints. The declared config path (~/.config/nemovideo/) is consistent with a client that stores session or config files.
Instruction Scope
SKILL.md instructs the agent to obtain or use NEMO_TOKEN, create sessions, upload user files, stream SSE messages, poll render status, and save session_id — all expected for this service. However: (1) the file contains a pre-scan prompt-injection signal (unicode-control-chars), which can indicate attempts to hide or alter instructions; (2) the instructions ask the agent to infer an install path (to set X-Skill-Platform) even though this skill is instruction-only and has no install spec — that is odd and unnecessary; (3) the agent is instructed to 'connect to the processing API before doing anything else' which, if followed autonomously, could cause unsolicited network calls. These behaviors expand the agent's discretion and deserve review.
Install Mechanism
No install spec and no code files — lowest disk risk. The skill is instruction-only so no arbitrary archives or external installers are fetched.
Credentials
Only one required credential (NEMO_TOKEN) and a single config path are declared, which is consistent with a cloud-render service. The SKILL.md also documents an anonymous-token flow (POST to mega-api-prod.nemovideo.ai) that will create NEMO_TOKEN client-side. Requiring an API token is proportional, but consider that the agent will use that token autonomously if present.
Persistence & Privilege
always is false and autonomous invocation is allowed (default). The skill instructs saving session_id and tokens locally for use; this is reasonable for a session-based API, but combined with autonomous invocation it means the agent can perform API actions without per-call user confirmation. No evidence the skill modifies other skills or system-wide settings.
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 free-avatar-video
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /free-avatar-video 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 free-avatar-video — generate avatar videos from text. - Generate talking avatar videos in the cloud from text/script (TXT, DOCX, PDF, MP4, up to 200MB). - No camera needed: just upload or describe what you want, receive 1080p MP4 output in 1–2 minutes. - Designed for marketers, educators, and creators working with text or scripts. - Automatic API setup with free anonymous token flow; credits system with 7-day expiry. - Supports quick edits, batch uploads, and iterative workflows. - Common file formats accepted; guidance on errors and platform compatibility included.
元数据
Slug free-avatar-video
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

Free Avatar Video 是什么?

Cloud-based free-avatar-video tool that handles generating talking avatar videos from a text script without recording yourself. Upload TXT, DOCX, PDF, MP4 fi... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 91 次。

如何安装 Free Avatar Video?

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

Free Avatar Video 是免费的吗?

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

Free Avatar Video 支持哪些平台?

Free Avatar Video 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 Free Avatar Video?

由 linmillsd7(@linmillsd7)开发并维护,当前版本 v1.0.0。

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