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Ai Image To Video Maker

作者 vcarolxhberger · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
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在 OpenClaw 中安装
/install ai-image-to-video-maker
功能描述
Turn three product photos in JPG format into 1080p animated video clips just by typing what you need. Whether it's converting still images into shareable vid...
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 images into a 15-second"

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.

AI Image to Video Maker — Convert Images into 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 three product photos in JPG format and want to turn these images into a 15-second video with smooth transitions — the backend processes it in about 30-60 seconds and hands you a 1080p MP4.

Tip: using high-resolution images produces sharper output video.

Matching Input to Actions

User prompts referencing ai image to video maker, 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 ai-image-to-video-maker, 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 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)

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 images into a 15-second video with smooth transitions" — concrete instructions get better results.

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

Export as MP4 for widest compatibility across platforms.

Common Workflows

Quick edit: Upload → "turn these images into a 15-second video with smooth transitions" → 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 says: it uploads images you provide to a remote render API and returns a download link. Before installing, consider: (1) the skill will make network calls to https://mega-api-prod.nemovideo.ai — only use it if you trust that service; (2) it can upload any files you give it, so don't send sensitive documents or images; (3) it can auto-generate an anonymous token and may store session tokens — ask the developer where tokens/session IDs are saved and how long they're retained; (4) there's a small metadata mismatch (a config path in SKILL.md that isn't listed in registry metadata) and it may try to read your install path to set headers — if you want stricter privacy, insist the agent not probe filesystem paths and prefer to provide your own NEMO_TOKEN rather than letting the skill generate/store one automatically. If you need higher assurance, request the skill author to clarify storage behavior and remove the ambiguous configPath/install-path detection.
功能分析
Type: OpenClaw Skill Name: ai-image-to-video-maker Version: 1.0.0 The skill bundle provides a functional interface for an AI video creation service hosted at mega-api-prod.nemovideo.ai. The instructions in SKILL.md detail legitimate API workflows for session management, file uploads, and video rendering, including a standard anonymous authentication flow. No evidence of data exfiltration, unauthorized system access, or malicious prompt injection was found; the behavior is consistent with the stated purpose of converting images to video.
能力评估
Purpose & Capability
Name/description align with the actions in SKILL.md (upload images, request render, download URL). The only required credential is NEMO_TOKEN which is proportionate. However the SKILL.md frontmatter declares a config path (~/.config/nemovideo/) even though registry metadata listed no required config paths — this mismatch is unexplained.
Instruction Scope
Runtime instructions are focused on the declared task: creating sessions, uploading files, SSE for edits, polling render status. They do require network calls to mega-api-prod.nemovideo.ai and uploading user files (expected). Ambiguities: instructions say to detect install path to set an attribution header (this implies reading filesystem/environment), and the docs say the anon token becomes your NEMO_TOKEN but do not specify where/how to persist it — these give the agent discretion to read/write state beyond the minimal API calls.
Install Mechanism
Instruction-only skill with no install steps and no code files. No downloads or executables are requested, which is low risk for installation.
Credentials
Only one environment credential (NEMO_TOKEN) is required and is appropriate for a cloud-rendering API. The SKILL.md offers a way to obtain an anonymous token automatically (POST with a generated UUID) — legitimate but raises questions about where that token will be stored. The presence of a configPaths entry in the skill's frontmatter is inconsistent with the registry's 'no required config paths'.
Persistence & Privilege
always:false (no forced presence) and normal autonomous invocation allowed. The skill does instruct saving session_id from API responses (expected for session management) but does not request system-wide configuration changes. No evidence it modifies other skills or global agent 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 ai-image-to-video-maker
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /ai-image-to-video-maker 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 Image to Video Maker (v1.0.0) - Instantly convert up to three JPG images into 1080p animated videos within 30–60 seconds - Simple workflow: upload images, describe your desired outcome, and download the result—no timeline editing or manual export settings needed - Automatic token management and cloud session setup on first use - Supports prompt-driven video generation, seamless transitions, text overlays, and audio tracks - Exports available in major video and audio formats, with clear error handling and session management
元数据
Slug ai-image-to-video-maker
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 Image To Video Maker 是什么?

Turn three product photos in JPG format into 1080p animated video clips just by typing what you need. Whether it's converting still images into shareable vid... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 66 次。

如何安装 Ai Image To Video Maker?

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

Ai Image To Video Maker 是免费的吗?

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

Ai Image To Video Maker 支持哪些平台?

Ai Image To Video Maker 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 Image To Video Maker?

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

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