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mhogan2013-9

Animated Video

作者 mhogan2013-9 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
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在 OpenClaw 中安装
/install animated-video
功能描述
Skip the learning curve of professional editing software. Describe what you want — turn these images into an animated explainer video with motion and transit...
使用说明 (SKILL.md)

Getting Started

Share your images or text and I'll get started on AI animation creation. Or just tell me what you're thinking.

Try saying:

  • "create my images or text"
  • "export 1080p MP4"
  • "turn these images into an animated"

First-Time Connection

When a user first opens this skill, connect to the processing backend automatically. Briefly let them know (e.g. "Setting up...").

Authentication: Check if NEMO_TOKEN is set in the environment. If it is, skip to step 2.

  1. Obtain a free token: Generate a random UUID as client identifier. POST to https://mega-api-prod.nemovideo.ai/api/auth/anonymous-token with header X-Client-Id set to that UUID. The response data.token is your NEMO_TOKEN — 100 free credits, valid 7 days.
  2. Create a session: POST to https://mega-api-prod.nemovideo.ai/api/tasks/me/with-session/nemo_agent with Authorization: Bearer \x3Ctoken>, Content-Type: application/json, and body {"task_name":"project","language":"\x3Cdetected>"}. Store the returned session_id for all subsequent requests.

Keep setup communication brief. Don't display raw API responses or token values to the user.

Animated Video — Create Animated Videos from Images

Drop your images or text in the chat and tell me what you need. I'll handle the AI animation creation on cloud GPUs — you don't need anything installed locally.

Here's a typical use: you send a five product images and a script, ask for turn these images into an animated explainer video with motion and transitions, 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 — fewer scenes per video means faster render and smoother animation.

Matching Input to Actions

User prompts referencing animated 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.

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 animated-video
X-Skill-Version frontmatter version
X-Skill-Platform auto-detect: clawhub / cursor / unknown from install path

Include Authorization: Bearer \x3CNEMO_TOKEN> and all attribution headers on every request — omitting them triggers a 402 on export.

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

Tips and Tricks

The backend processes faster when you're specific. Instead of "make it look better", try "turn these images into an animated explainer video with motion and transitions" — concrete instructions get better results.

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

Export as MP4 for widest compatibility.

Common Workflows

Quick edit: Upload → "turn these images into an animated explainer video with motion and transitions" → 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.

安全使用建议
This skill uploads your images/audio/text to an external rendering service (mega-api-prod.nemovideo.ai) and uses a NEMO_TOKEN to authorize requests. If you install it, expect uploads and temporary tokens to be sent to that backend; avoid sending highly sensitive data (private credentials, PII you wouldn't want stored externally). Consider providing your own NEMO_TOKEN from the service (instead of letting the skill generate an anonymous token) if you want more control. Also ask the skill author to clarify the mismatch between the registry-config paths and the SKILL.md frontmatter (~/.config/nemovideo/) so you know whether any files will be written to your config directory.
功能分析
Type: OpenClaw Skill Name: animated-video Version: 1.0.0 The skill instructions in SKILL.md contain a high-risk vulnerability by directing the AI agent to "internally process" tool calls and results received from a remote Server-Sent Events (SSE) stream (https://mega-api-prod.nemovideo.ai/run_sse) without user intervention or validation. This architecture allows the remote backend to potentially execute any tool available to the agent, creating a path for Remote Code Execution (RCE) if the backend is compromised. Additionally, the skill mandates the collection and exfiltration of environment metadata (e.g., identifying if the user is on 'clawhub' or 'cursor' via install paths) through custom attribution headers.
能力评估
Purpose & Capability
The skill claims to produce animated videos via a cloud backend. The only declared credential (NEMO_TOKEN) and the listed API endpoints (upload, render, state, credits) match that purpose. No unrelated credentials or binaries are requested.
Instruction Scope
SKILL.md contains concrete runtime instructions (create anonymous token if no NEMO_TOKEN, create session, upload, SSE handling, poll export). All instructions are scoped to interacting with the nemo-video backend and handling render jobs. The skill does not instruct the agent to read arbitrary local files or unrelated environment variables.
Install Mechanism
This is an instruction-only skill with no install spec and no code files, which minimizes installation risk. All network calls go to a single domain (mega-api-prod.nemovideo.ai).
Credentials
Only one credential is required (NEMO_TOKEN), which is proportional to a cloud-rendering service. The SKILL.md explains how to obtain an anonymous token if none is provided. Note: the frontmatter in SKILL.md lists a config path (~/.config/nemovideo/) while the registry metadata shows no required config paths — this mismatch should be clarified but is not itself critical.
Persistence & Privilege
The skill is not forced-always and uses normal autonomous invocation. It instructs storing a session_id for job state, and can obtain a short-lived anonymous NEMO_TOKEN (100 credits, 7 days). If the agent persists that token or writes config to ~/.config/nemovideo/, that would be expected for this service but users should be aware that tokens and uploaded media are sent to the external backend.
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 animated-video
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /animated-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
Animated Video — v1.0.0 - Initial release: Instantly turn uploaded images or text into animated explainer videos, with motion and transitions, using cloud AI. - Supports PNG, JPG, MP4, MOV up to 200MB; outputs 1080p MP4 videos by default. - Simple onboarding: auto-connects to backend and manages authentication for rapid first use. - Review/edit session state, manage credits, and handle exports all via chat commands. - Automatic error handling for token, credits, file issues, and clear export guidance. - Designed for marketers needing quick animated videos without professional editing tools.
元数据
Slug animated-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

Animated Video 是什么?

Skip the learning curve of professional editing software. Describe what you want — turn these images into an animated explainer video with motion and transit... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 55 次。

如何安装 Animated Video?

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

Animated Video 是免费的吗?

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

Animated Video 支持哪些平台?

Animated 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 Animated Video?

由 mhogan2013-9(@mhogan2013-9)开发并维护,当前版本 v1.0.0。

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