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francemichaell-15

Image To Video Online Converter

作者 francemichaell-15 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
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在 OpenClaw 中安装
/install image-to-video-online-converter
功能描述
Get animated MP4 video ready to post, without touching a single slider. Upload your images (JPG, PNG, WEBP, GIF, up to 200MB), say something like "turn these...
使用说明 (SKILL.md)

Getting Started

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

Try saying:

  • "convert my images"
  • "export 1080p MP4"
  • "turn these photos into a 30-second"

Quick Start Setup

This skill connects to a cloud processing backend. On first use, set up the connection automatically and let the user know ("Connecting...").

Token check: Look for NEMO_TOKEN in the environment. If found, skip to session creation. Otherwise:

  • Generate a UUID as client identifier
  • POST https://mega-api-prod.nemovideo.ai/api/auth/anonymous-token with X-Client-Id header
  • Extract data.token from the response — this is your NEMO_TOKEN (100 free credits, 7-day expiry)

Session: POST https://mega-api-prod.nemovideo.ai/api/tasks/me/with-session/nemo_agent with Bearer auth and body {"task_name":"project"}. Keep the returned session_id for all operations.

Let the user know with a brief "Ready!" when setup is complete. Don't expose tokens or raw API output.

Image to Video Online Converter — Convert Photos into MP4 Videos

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

Say you have five product photos in JPG format and want to turn these photos into a 30-second video with transitions and background music — the backend processes it in about 30-60 seconds and hands you a 1080p MP4.

Tip: using images with consistent dimensions gives smoother transitions in the final video.

Matching Input to Actions

User prompts referencing image to video online converter, 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.

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

  • X-Skill-Source: image-to-video-online-converter
  • X-Skill-Version: from frontmatter version
  • X-Skill-Platform: detect from install path (~/.clawhub/clawhub, ~/.cursor/skills/cursor, else unknown)

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 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)

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 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

Tips and Tricks

The backend processes faster when you're specific. Instead of "make it look better", try "turn these photos into a 30-second video with transitions and background music" — concrete instructions get better results.

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

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

Common Workflows

Quick edit: Upload → "turn these photos into a 30-second video with transitions and background music" → Download MP4. Takes 30-60 seconds 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 mostly does what it claims (it uploads images to a cloud render API and returns MP4s), but exercise caution: 1) The package has no homepage or known source — verify the domain (mega-api-prod.nemovideo.ai) and vendor before sending sensitive images or credentials. 2) It requires or will mint a NEMO_TOKEN; if you don't have one, it will call the anonymous-token endpoint (network call) and treat the returned token as a credential — avoid supplying any other reusable or high-privilege tokens. 3) Ask the publisher why the SKILL.md metadata references ~/.config/nemovideo/ and why the agent needs to read install paths/frontmatter; if you are uncomfortable with local file reads, do not install. 4) If you try it, test with non-sensitive sample images and a disposable token/anonymous flow first, and review the service's privacy/terms for data retention and access to uploaded media.
功能分析
Type: OpenClaw Skill Name: image-to-video-online-converter Version: 1.0.0 The skill provides instructions for an AI agent to interface with the nemovideo.ai API to convert images into videos. It includes logic for anonymous authentication, session management, and platform attribution via file path inspection (e.g., checking for ~/.clawhub/). The behavior is consistent with the stated purpose of the tool, and there is no evidence of malicious intent, unauthorized data exfiltration, or harmful prompt injection.
能力评估
Purpose & Capability
The stated purpose (upload images, render MP4 via a cloud backend) aligns with the endpoints and workflows described. Requesting a NEMO_TOKEN is coherent for a cloud service. However, the SKILL.md metadata lists a config path (~/.config/nemovideo/) that is not reflected in the registry's 'required config paths' summary — this mismatch is unexplained and worth clarifying.
Instruction Scope
Runtime instructions direct the agent to: check for NEMO_TOKEN, call the service's anonymous-token endpoint if absent, POST uploads and create sessions, and poll render status — all expected. But the skill also instructs the agent to read this file's YAML frontmatter and detect the agent's install path to populate X-Skill-Version and X-Skill-Platform, and references a user config directory (~/.config/nemovideo/). Those steps require reading local files/paths beyond simple network calls and are not fully declared in the registry metadata, increasing the surface for unintended local information access.
Install Mechanism
There is no install spec or downloadable code; the skill is instruction-only. That reduces disk/write risk because nothing additional is installed by the skill itself.
Credentials
The skill only requires a single credential (NEMO_TOKEN), which is proportionate for a cloud rendering API. It also describes fetching an anonymous token from the service when none is present (network call). The metadata's mention of a config path is inconsistent with the registry and suggests potential access to local configuration; that should be justified before granting access to any sensitive tokens.
Persistence & Privilege
The skill is not always-enabled and does not request elevated platform privileges or to modify other skills. Autonomous invocation remains enabled (normal), but there is no indication the skill persists or changes 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 image-to-video-online-converter
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /image-to-video-online-converter 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. - Upload images (JPG, PNG, WEBP, GIF, up to 200MB) and generate 1080p MP4 videos with transitions and background music, no editing required. - Automatic cloud setup with free credits for new users; handles authentication and session management seamlessly. - Provides export, credits, status, upload, and editing actions via simple prompts. - Supports multiple file formats for input and export. - Translates backend operations and handles errors with clear user messages. - Guides users through common workflows for quick edits, batch processing, and iterative refinement.
元数据
Slug image-to-video-online-converter
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

Image To Video Online Converter 是什么?

Get animated MP4 video ready to post, without touching a single slider. Upload your images (JPG, PNG, WEBP, GIF, up to 200MB), say something like "turn these... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 65 次。

如何安装 Image To Video Online Converter?

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

Image To Video Online Converter 是免费的吗?

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

Image To Video Online Converter 支持哪些平台?

Image To Video Online Converter 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 Image To Video Online Converter?

由 francemichaell-15(@francemichaell-15)开发并维护,当前版本 v1.0.0。

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