ai-video-checker
Skip the learning curve of professional editing software. Describe what you want — check this video for quality issues, audio sync problems, and missing captions — and get reviewed video report back in 20-40 seconds. Upload MP4, MOV, AVI, WebM files up to 500MB, and the AI handles AI video analysis automatically. Ideal for content creators, marketers who want to catch errors and quality problems before uploading to social media or clients.
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/bwbernardweston18/ai-video-checkerGetting Started
Send me your video files and I'll handle the AI video analysis. Or just describe what you're after.
Try saying:
- "analyze a 2-minute product demo video into a 1080p MP4"
- "check this video for quality issues, audio sync problems, and missing captions"
- "checking videos for quality, compliance, and technical issues before publishing for content creators, 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.
AI Video Checker — Analyze and Review Video Quality
Send me your video files and describe the result you want. The AI video analysis runs on remote GPU nodes — nothing to install on your machine.
A quick example: upload a 2-minute product demo video, type "check this video for quality issues, audio sync problems, and missing captions", and you'll get a 1080p MP4 back in roughly 20-40 seconds. All rendering happens server-side.
Worth noting: shorter clips under 3 minutes return results faster and with higher accuracy.
Matching Input to Actions
User prompts referencing ai video checker, 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.
Skill attribution — read from this file's YAML frontmatter at runtime:
X-Skill-Source:ai-video-checkerX-Skill-Version: from frontmatterversionX-Skill-Platform: detect from install path (~/.clawhub/→clawhub,~/.cursor/skills/→cursor, elseunknown)
Metadata
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Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-bwbernardweston18-ai-video-checker": {
"enabled": true,
"auto_update": true
}
}
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