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vynbosserman65

Image To Video Free Unlimited

作者 vynbosserman65 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
65
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当前安装
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在 OpenClaw 中安装
/install image-to-video-free-unlimited
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 static images into shareable vi...
使用说明 (SKILL.md)

Getting Started

Ready when you are. Drop your still images here or describe what you want to make.

Try saying:

  • "convert three product photos in JPG format into a 1080p MP4"
  • "turn these images into a smooth video with transitions"
  • "converting static images into shareable videos for social media creators"

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.

Image to Video Free Unlimited — Convert Images Into Shareable Videos

This tool takes your still 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 smooth video with transitions — the backend processes it in about 30-60 seconds and hands you a 1080p MP4.

Tip: fewer images per batch means faster processing and smoother output.

Matching Input to Actions

User prompts referencing image to video free unlimited, 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.

Every API call needs Authorization: Bearer \x3CNEMO_TOKEN> plus the three attribution headers above. If any header is missing, exports return 402.

Headers are derived from this file's YAML frontmatter. X-Skill-Source is image-to-video-free-unlimited, 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).

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.

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

Translating GUI Instructions

The backend responds as if there's a visual interface. Map its instructions to API calls:

  • "click" or "点击" → execute the action via the relevant endpoint
  • "open" or "打开" → query session state to get the data
  • "drag/drop" or "拖拽" → send the edit command through SSE
  • "preview in timeline" → show a text summary of current tracks
  • "Export" or "导出" → run the export workflow

Reading the SSE Stream

Text events go straight to the user (after GUI translation). Tool calls stay internal. Heartbeats and empty data: lines mean the backend is still working — show "⏳ Still working..." every 2 minutes.

About 30% of edit operations close the stream without any text. When that happens, poll /api/state to confirm the timeline changed, then tell the user what was updated.

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)

Tips and Tricks

The backend processes faster when you're specific. Instead of "make it look better", try "turn these images into a smooth video with transitions" — 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 all platforms.

Common Workflows

Quick edit: Upload → "turn these images into a smooth video with 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 appears to be an instruction-only integration with a remote image→video API and primarily needs a NEMO_TOKEN. Before installing: (1) verify the upstream domain (mega-api-prod.nemovideo.ai) is the intended service and trustworthy; (2) prefer using an anonymous starter token (the skill supports it) rather than placing sensitive or long-lived secrets in NEMO_TOKEN; (3) ask the publisher to explain the discrepancy between the registry (no config paths) and the SKILL.md frontmatter (~/.config/nemovideo/) and whether the skill will read local paths or files; (4) avoid uploading sensitive images to any third-party service unless you understand their retention/privacy policy; and (5) because the skill source/homepage is unknown, treat it as unverified until you can confirm provenance.
功能分析
Type: OpenClaw Skill Name: image-to-video-free-unlimited Version: 1.0.0 The skill bundle is a functional integration for an AI-powered image-to-video conversion service hosted at nemovideo.ai. It provides detailed instructions for the agent to manage sessions, handle file uploads, and poll for video rendering status via a cloud API. While it requires a service token (NEMO_TOKEN) and includes logic to detect its installation environment for telemetry headers, these behaviors are transparently documented and align with the stated purpose of the tool. No evidence of malicious intent, data exfiltration, or unauthorized execution was found.
能力评估
Purpose & Capability
The declared primary credential (NEMO_TOKEN) and the API endpoints in SKILL.md align with an image-to-video cloud service. However the SKILL.md YAML frontmatter lists a config path (~/.config/nemovideo/) while the registry metadata says no required config paths — an internal mismatch that should be clarified.
Instruction Scope
Runtime instructions request using NEMO_TOKEN or obtaining an anonymous token from https://mega-api-prod.nemovideo.ai, creating sessions, uploading files (multipart or URL), and polling renders — all expected. But the agent is also instructed to derive attribution headers from the skill's YAML frontmatter and to detect the install path to set X-Skill-Platform; reading install paths or skill files for headers is unnecessary for core functionality and could reveal local environment structure.
Install Mechanism
No install spec or code is provided (instruction-only). This minimizes on-disk write/execution risk.
Credentials
Only one credential (NEMO_TOKEN) is required, which is proportionate. The SKILL.md flow also allows acquiring a short-lived anonymous token if none is provided. Still, the frontmatter's mention of a config path implies possible access to ~/.config/nemovideo/ that wasn't declared in the registry metadata — clarify whether that path will be read or used.
Persistence & Privilege
Skill is not force-included (always: false) and does not request system-wide privileges. It does instruct creating ephemeral sessions with the remote service and does not request modifying other skills.
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-free-unlimited
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /image-to-video-free-unlimited 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 — convert still images into shareable videos via a fast, cloud-based workflow. - Upload up to three JPG images and describe your desired video; receive a 1080p MP4 clip in 30–60 seconds. - Automatic backend connection/authorization with free starter credits for new users. - No timeline editing or export settings required; natural language controls the output. - Supports quick exports, credit checks, and timeline previews using plain text commands. - Handles a range of formats (mp4, mov, avi, gif, etc.) with session persistence for iterative editing.
元数据
Slug image-to-video-free-unlimited
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 Free Unlimited 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 static images into shareable vi... 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 Free Unlimited?

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

Image To Video Free Unlimited 是免费的吗?

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

Image To Video Free Unlimited 支持哪些平台?

Image To Video Free Unlimited 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 Free Unlimited?

由 vynbosserman65(@vynbosserman65)开发并维护,当前版本 v1.0.0。

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