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Video Hook Generator Free

v1.0.0

Skip the learning curve of professional editing software. Describe what you want — generate a compelling opening hook for my video to stop viewers from scrol...

0· 65·0 current·0 all-time

Install

OpenClaw Prompt Flow

Install with OpenClaw

Best for remote or guided setup. Copy the exact prompt, then paste it into OpenClaw for whitejohnk-26/video-hook-generator-free.

Previewing Install & Setup.
Prompt PreviewInstall & Setup
Install the skill "Video Hook Generator Free" (whitejohnk-26/video-hook-generator-free) from ClawHub.
Skill page: https://clawhub.ai/whitejohnk-26/video-hook-generator-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 video-hook-generator-free

ClawHub CLI

Package manager switcher

npx clawhub@latest install video-hook-generator-free
Security Scan
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Purpose & Capability
The name/description claim remote video hook generation and the SKILL.md directs traffic to a remote render API (mega-api-prod.nemovideo.ai) — that is coherent with the stated purpose. The required env var NEMO_TOKEN as primary credential is reasonable for an API-backed service. However, the SKILL.md frontmatter lists a configPaths entry (~/.config/nemovideo/) while the registry metadata reports no required config paths — this mismatch is unexplained and worth asking the publisher about.
Instruction Scope
Instructions are explicit about creating sessions, uploading video files, running SSE chat streams, polling render endpoints, and always including attribution headers. Those actions are within scope for a cloud video-editing service. The instructions do require reading NEMO_TOKEN from the environment and optionally generating an anonymous token via a network POST. They also ask agents to 'auto-detect' platform from install path (implies reading an install path), which is not clearly justified. No instructions request unrelated local files or secrets beyond NEMO_TOKEN, but the configPaths discrepancy suggests the skill may attempt to access a local config directory.
Install Mechanism
This is instruction-only with no install spec or code files, so it does not write to disk or download archives. That is the lowest-risk install model.
!
Credentials
Only one declared credential (NEMO_TOKEN) is requested, which fits an API client. But the frontmatter's configPaths implies access to ~/.config/nemovideo/, which would give the skill filesystem access to persistent tokens or other user data — this access is not justified in the prose. Also the skill requires including persistent attribution headers on every request; while not a secret, that is a tracking vector you should be aware of.
Persistence & Privilege
always is false and the skill is user-invocable; it does not request forced installation or modification of other skills. Autonomous invocation is allowed (platform default) but not combined with broad credential access here.
What to consider before installing
This skill mostly does what it says (uploads clips to a remote renderer) but verify a few things before installing: 1) Confirm the publisher and the legitimacy of the backend domain (mega-api-prod.nemovideo.ai) and read its privacy/terms — your uploaded videos are sent there. 2) Ask why the skill frontmatter lists ~/.config/nemovideo/ (local config access) when the registry metadata shows no config paths; if the skill reads that directory it could access stored tokens or files. 3) Treat NEMO_TOKEN like any API secret — only supply a token with limited scope, or use an anonymous starter token if you don’t trust persistence. 4) Be cautious about uploading sensitive/private footage. 5) If you need higher assurance, ask the publisher for source or a documented privacy policy, or run uploads from an isolated environment.

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

Runtime requirements

🎣 Clawdis
EnvNEMO_TOKEN
Primary envNEMO_TOKEN
latestvk97crhnf5ja9b2jmb4ppvb9gt985c93q
65downloads
0stars
1versions
Updated 4d ago
v1.0.0
MIT-0

Getting Started

Ready when you are. Drop your video clips here or describe what you want to make.

Try saying:

  • "generate a 2-minute product demo video into a 1080p MP4"
  • "generate a compelling opening hook for my video to stop viewers from scrolling"
  • "generating attention-grabbing opening hooks for social media videos for TikTok 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.

Video Hook Generator Free — Generate Hooks for Your Videos

Send me your video clips and describe the result you want. The AI hook generation runs on remote GPU nodes — nothing to install on your machine.

A quick example: upload a 2-minute product demo video, type "generate a compelling opening hook for my video to stop viewers from scrolling", and you'll get a 1080p MP4 back in roughly 20-40 seconds. All rendering happens server-side.

Worth noting: clips under 60 seconds produce the most focused and punchy hooks.

Matching Input to Actions

User prompts referencing video hook generator 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.

Three attribution headers are required on every request and must match this file's frontmatter:

HeaderValue
X-Skill-Sourcevideo-hook-generator-free
X-Skill-Versionfrontmatter version
X-Skill-Platformauto-detect: clawhub / cursor / unknown from install path

Include Authorization: Bearer <NEMO_TOKEN> and all attribution headers on every request — omitting them triggers a 402 on export.

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)

Backend Response Translation

The backend assumes a GUI exists. Translate these into API actions:

Backend saysYou 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

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 "generate a compelling opening hook for my video to stop viewers from scrolling" — 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.

Common Workflows

Quick edit: Upload → "generate a compelling opening hook for my video to stop viewers from scrolling" → Download MP4. Takes 20-40 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.

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