Hologram Video Maker Online Free

v1.0.0

convert images or video clips into hologram effect videos with this skill. Works with MP4, MOV, AVI, WebM files up to 500MB. content creators and marketers u...

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Install

OpenClaw Prompt Flow

Install with OpenClaw

Best for remote or guided setup. Copy the exact prompt, then paste it into OpenClaw for mory128/hologram-video-maker-online-free.

Previewing Install & Setup.
Prompt PreviewInstall & Setup
Install the skill "Hologram Video Maker Online Free" (mory128/hologram-video-maker-online-free) from ClawHub.
Skill page: https://clawhub.ai/mory128/hologram-video-maker-online-free
Keep the work scoped to this skill only.
After install, inspect the skill metadata and help me finish setup.
Required env vars: NEMO_TOKEN
Use only the metadata you can verify from ClawHub; do not invent missing requirements.
Ask before making any broader environment changes.

Command Line

CLI Commands

Use the direct CLI path if you want to install manually and keep every step visible.

OpenClaw CLI

Bare skill slug

openclaw skills install hologram-video-maker-online-free

ClawHub CLI

Package manager switcher

npx clawhub@latest install hologram-video-maker-online-free
Security Scan
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Purpose & Capability
The skill claims to render hologram effects on a cloud GPU and only requests a NEMO_TOKEN (the API bearer token) and uses endpoints at mega-api-prod.nemovideo.ai — this is proportionate to the stated purpose. Minor inconsistency: the SKILL.md frontmatter mentions a config path (~/.config/nemovideo/) but the registry metadata listed none; this is likely informational but should be clarified.
Instruction Scope
SKILL.md instructs the agent to upload user media, create or reuse NEMO_TOKEN, create sessions, drive SSE chat/upload/export flows, and save session_id/tokens. Those actions are expected for a cloud render service. The doc also instructs the agent to detect install path to set an X-Skill-Platform header (e.g., reading install path like ~/.clawhub/ or ~/.cursor/skills/), which implies the agent may inspect filesystem/installation metadata — this is not necessary for core functionality and is worth noting.
Install Mechanism
This is an instruction-only skill with no install spec or code files, so nothing is downloaded or written by the skill itself via an installer. That is the lowest-risk install posture.
Credentials
Only one environment credential (NEMO_TOKEN) is required, which matches the API usage. The SKILL.md also references a config path in frontmatter (~/.config/nemovideo/) — if the agent actually reads that path it would be broader than necessary; the skill should justify or remove that requirement. Otherwise the credential list is proportionate.
Persistence & Privilege
The skill is not always-enabled and does not request elevated platform privileges. It asks to save session_id and tokens (normal for session management) but does not instruct changing other skills or system-wide configs.
Assessment
This skill appears internally consistent for a cloud video-rendering service, but before installing consider: (1) it will upload any media you send to https://mega-api-prod.nemovideo.ai — do not send sensitive or private videos without confirming the service's privacy/security practices; (2) it uses a NEMO_TOKEN (if you already have one) or will create an anonymous token via the API — treat that token as a secret because it grants rendering access; (3) the SKILL.md mentions reading an install path and a config directory (~/.config/nemovideo/) — check whether your agent will expose or read local filesystem paths and remove any sensitive files there; (4) there are no install files to audit (instruction-only), so there was no code to scan — if you need higher assurance, ask the publisher for a privacy policy, service origin details, or an auditable implementation. If you’re comfortable with these behaviors and with uploading media to the named domain, the skill’s requests are proportionate to its purpose.

Like a lobster shell, security has layers — review code before you run it.

Runtime requirements

🔵 Clawdis
EnvNEMO_TOKEN
Primary envNEMO_TOKEN
latestvk978h0vdekbha5xe8tmxxcwyt585a6ba
84downloads
0stars
1versions
Updated 6d ago
v1.0.0
MIT-0

Getting Started

Got images or video clips to work with? Send it over and tell me what you need — I'll take care of the hologram effect rendering.

Try saying:

  • "convert a 30-second product video clip into a 1080p MP4"
  • "turn my video into a hologram-style projection effect"
  • "adding hologram projection effects to videos for content creators and marketers"

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: <uuid>. 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.

Hologram Video Maker Online Free — Create Hologram Effect Videos

Drop your images or video clips in the chat and tell me what you need. I'll handle the hologram effect rendering on cloud GPUs — you don't need anything installed locally.

Here's a typical use: you send a a 30-second product video clip, ask for turn my video into a hologram-style projection effect, 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 — dark or black backgrounds make the hologram glow effect stand out much more clearly.

Matching Input to Actions

User prompts referencing hologram video maker online free, aspect ratio, text overlays, or audio tracks get routed to the corresponding action via keyword and intent classification.

User says...ActionSkip 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":"<lang>"}. 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/<sid> — multipart file or JSON with URLs.
  4. CreditsGET /api/credits/balance/simple — returns available, frozen, total.
  5. StateGET /api/state/nemo_agent/me/<sid>/latest — current draft and media info.
  6. ExportPOST /api/render/proxy/lambda with render ID and draft JSON. Poll GET /api/render/proxy/lambda/<id> 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: hologram-video-maker-online-free
  • X-Skill-Version: from frontmatter version
  • X-Skill-Platform: detect from install path (~/.clawhub/clawhub, ~/.cursor/skills/cursor, else unknown)

Every API call needs Authorization: Bearer <NEMO_TOKEN> plus the three attribution headers above. If any header is missing, exports return 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)

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

SSE Event Handling

EventAction
Text responseApply GUI translation (§4), present to user
Tool call/resultProcess internally, don't forward
heartbeat / empty data:Keep waiting. Every 2 min: "⏳ Still working..."
Stream closesProcess 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

CodeMeaningAction
0SuccessContinue
1001Bad/expired tokenRe-auth via anonymous-token (tokens expire after 7 days)
1002Session not foundNew session §3.0
2001No creditsAnonymous: show registration URL with ?bind=<id> (get <id> from create-session or state response when needed). Registered: "Top up credits in your account"
4001Unsupported fileShow supported formats
4002File too largeSuggest compress/trim
400Missing X-Client-IdGenerate Client-Id and retry (see §1)
402Free plan export blockedSubscription tier issue, NOT credits. "Register or upgrade your plan to unlock export."
429Rate 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 my video into a hologram-style projection effect" — concrete instructions get better results.

Max file size is 500MB. Stick to MP4, MOV, AVI, WebM for the smoothest experience.

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

Common Workflows

Quick edit: Upload → "turn my video into a hologram-style projection effect" → 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.

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