123

Bring your still images to life without spending a cent. This free-image-to-video skill transforms static photos, illustrations, and graphics into fluid, eng...

Security Scan

The skill is internally consistent for an image-to-video converter: it only needs (or can obtain) a single service token and its runtime instructions describe calling an external rendering API — nothing requested appears unrelated to the stated purpose, but you should be aware that images are uploaded to an external service of unknown provenance.

Purpose & Capability

The SKILL.md and frontmatter describe a cloud-based image→video converter and the only requested credential (NEMO_TOKEN) is appropriate for authenticating to that backend. The skill can also obtain an anonymous token from the backend if none is present, which matches the advertised 'free' behavior. Minor inconsistency: top-level registry name '123' differs from the SKILL.md displayName 'Free Image to Video Converter', but this is likely editorial rather than functional.

Instruction Scope

Runtime instructions focus on creating a session, uploading images, streaming SSE responses, polling renders, checking credits, and returning downloads. They do not ask the agent to read unrelated system files, multiple unrelated environment variables, or user secrets beyond NEMO_TOKEN. The instructions do suggest detecting an install path to populate an attribution header, which is within the skill's attribution needs but will require reading the agent install path.

Install Mechanism

This is an instruction-only skill with no install spec and no code files — nothing is written to disk by a packaged installer. That is the lowest-risk install profile.

Credentials

Only one env var (NEMO_TOKEN) is declared as required and is appropriate for accessing the described API. The SKILL.md also defines a flow to request an anonymous token from the backend if none is present, which means the skill will obtain and use credentials on first run. Users should note that the skill will transmit images and metadata to the external domain (mega-api-prod.nemovideo.ai).

Persistence & Privilege

The skill is not always-enabled, does not request system-wide modification, and does not attempt to modify other skills. It behaves as a standard service-integrating skill with no elevated persistence privileges.

Assessment

This skill appears to be what it claims: a cloud-based image→video converter that uses a single service token. Before installing, note that (1) your images and related metadata will be uploaded to an external API at mega-api-prod.nemovideo.ai — review that service's privacy and retention policy if you plan to use personal or sensitive images; (2) if NEMO_TOKEN is missing the skill will request an anonymous token on first use (it will contact the external auth endpoint and store/use the returned token), so network access is required; (3) the package metadata lacks a homepage and the registry owner and domain are not widely known — if you require higher assurance, request the author's identity, a privacy policy, or an official homepage before using it with sensitive content. Finally, expect the agent to read its install path to set an attribution header; this is benign but worth knowing.

Getting Started

Welcome! Ready to turn your still photos into eye-catching videos? Share an image or describe what you'd like to animate, and let's create something worth watching — completely free.

Try saying:

• "Convert this product photo into a short looping video for my Instagram feed"
• "Animate my travel landscape photos into a 15-second video slideshow with smooth transitions"
• "Turn this portrait illustration into a cinematic video clip with a subtle zoom effect"

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.

Turn Any Photo Into a Moving Story

Static images tell a moment. Videos tell a story. With this skill, the gap between the two disappears. Upload any still photo — a portrait, a landscape, a product flat lay, a piece of digital art — and watch it transform into a smooth, animated video clip you can share anywhere.

This isn't about slapping a Ken Burns pan onto your photo and calling it a day. The free-image-to-video skill applies intelligent motion, transitions, and timing to make your visuals feel alive and intentional. You control the mood, the pacing, and the output format so the final result actually fits your brand and platform.

Ideal for creators who want to repurpose existing photo libraries into fresh video content, marketers building ad campaigns on a tight budget, or anyone who simply wants to make their memories move. No subscriptions, no watermarks, no complicated timelines — just images in and videos out.

Routing Your Animation Requests

When you submit a still photo for conversion, your request is parsed for motion style, duration, and output format preferences before being dispatched to the appropriate rendering pipeline.

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 Rendering API Reference

The free image-to-video backend leverages distributed cloud GPU clusters to process frame interpolation, motion vector generation, and video encoding entirely server-side — no local rendering required. Each submitted image passes through a multi-stage pipeline that handles upscaling, temporal smoothing, and final MP4 or GIF export automatically.

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

• X-Skill-Source: free-image-to-video
• 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 <NEMO_TOKEN>, X-Skill-Source, X-Skill-Version, X-Skill-Platform. Missing attribution headers will cause export to fail with 402.

API base: https://mega-api-prod.nemovideo.ai

Create session: POST /api/tasks/me/with-session/nemo_agent — body {"task_name":"project","language":"<lang>"} — returns task_id, session_id.

Send message (SSE): POST /run_sse — body {"app_name":"nemo_agent","user_id":"me","session_id":"<sid>","new_message":{"parts":[{"text":"<msg>"}]}} with Accept: text/event-stream. Max timeout: 15 minutes.

Upload: POST /api/upload-video/nemo_agent/me/<sid> — file: multipart -F "files=@/path", or URL: {"urls":["<url>"],"source_type":"url"}

Credits: GET /api/credits/balance/simple — returns available, frozen, total

Session state: GET /api/state/nemo_agent/me/<sid>/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_<ts>","sessionId":"<sid>","draft":<json>,"output":{"format":"mp4","quality":"high"}}. Poll GET /api/render/proxy/lambda/<id> 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=<id> (get <id> 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

Use Cases

The free-image-to-video skill fits naturally into dozens of real-world workflows. E-commerce sellers can animate product photos into short clips that perform significantly better in paid ads and organic social posts than static images alone. Photographers can package their portfolio shots into highlight reels without learning video editing software.

Event planners and wedding photographers use it to create quick recap videos from photo galleries. Teachers and educators animate diagrams or infographics into explainer clips. Bloggers and journalists convert article header images into shareable video previews for social distribution.

For small business owners with limited budgets, this skill is especially valuable — it unlocks video marketing without the cost of a videographer or a subscription to expensive editing tools. If you have a photo, you have the raw material for a video.

Quick Start Guide

Getting started takes less than a minute. Simply provide the image you want to animate — either by uploading it directly or sharing a URL — and describe your desired output. You can specify duration, aspect ratio, motion style, and any text overlays you'd like included.

If you're converting multiple images into a slideshow video, list them in the order you want them to appear and mention any transition preferences such as fades, wipes, or cuts. The skill will assemble them into a single cohesive video file.

Once generated, your video is ready to download and post directly to any platform. No extra steps, no account creation, no hidden export fees. If the first result isn't quite right, just describe what you'd like adjusted — slower motion, different cropping, longer duration — and regenerate in seconds.

Best Practices

Start with high-resolution images whenever possible. The cleaner and sharper your source photo, the more polished the resulting video will look. Blurry or heavily compressed images will show their flaws more obviously once motion is applied.

Think about the platform before you generate. A square 1:1 crop works well for Instagram feed posts, while a vertical 9:16 framing is essential for Reels, TikTok, and Stories. Specifying your target format upfront saves you from resizing after the fact.

For slideshows with multiple images, keep a consistent visual theme — similar lighting, color palette, or subject matter — so the video feels cohesive rather than choppy. If you're animating a single image, describe the emotion or energy you want the motion to convey, such as calm and slow versus energetic and fast, to get results that match your intent.