CategoryWeightCategory scoreContribution
Securityprompt, exec, net, exfil, eval
35%
35.0 pts
Supply chainhash, typosquat, maintainer, lockfile
20%
20.0 pts
Maintenancestaleness, pinning, CI
15%
15.0 pts
TransparencySKILL.md, perms, README
15%
15.0 pts
Communityinstalls, verify, response
15%
15.0 pts
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Supply chain
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Maintenance
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Every scanned point with the score it earned and what moved between them.
601a457
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
name: google-veo
description: "Generate videos with Google Veo models via inference.sh CLI. Models: Veo 3.1, Veo 3.1 Fast, Veo 3, Veo 3 Fast, Veo 2. Capabilities: text-to-video, cinematic output, high quality video generation. Triggers: veo, google veo, veo 3, veo 2, veo 3.1, vertex ai video, google video generation, google video ai, veo model, veo video"
allowed-tools: Bash(belt *)
Install the belt CLI skill: npx skills add belt-sh/cliGoogle Veo Video Generation
Generate videos with Google Veo models via inference.sh CLI.
Quick Start
Requires inference.sh CLI (belt). Install instructionsbelt login
belt app run google/veo-3-1-fast --input '{"prompt": "drone shot over a mountain lake"}'Veo Models
| Model | App ID | Speed | Quality |
|---|---|---|---|
| Veo 3.1 | google/veo-3-1 | Slower | Best |
| Veo 3.1 Fast | google/veo-3-1-fast | Fast | Excellent |
| Veo 3 | google/veo-3 | Medium | Excellent |
| Veo 3 Fast | google/veo-3-fast | Fast | Very Good |
| Veo 2 | google/veo-2 | Medium | Good |
Search Veo Apps
belt app store search "veo"Examples
Cinematic Shot
belt app run google/veo-3-1-fast --input '{
"prompt": "Cinematic drone shot flying through a misty forest at sunrise, volumetric lighting"
}'Product Demo
belt app run google/veo-3 --input '{
"prompt": "Sleek smartphone rotating on a dark reflective surface, studio lighting"
}'Nature Scene
belt app run google/veo-3-1-fast --input '{
"prompt": "Timelapse of clouds moving over a mountain range, golden hour"
}'Action Shot
belt app run google/veo-3 --input '{
"prompt": "Slow motion water droplet splashing into a pool, macro shot"
}'Urban Scene
belt app run google/veo-3-1-fast --input '{
"prompt": "Busy city street at night with neon signs and rain reflections, Tokyo style"
}'Prompt Tips
Camera movements: drone shot, tracking shot, pan, zoom, dolly, steadicam
Lighting: golden hour, blue hour, studio lighting, volumetric, neon, natural
Style: cinematic, documentary, commercial, artistic, realistic
Timing: slow motion, timelapse, real-time
Sample Workflow
# 1. Generate sample input to see all options
belt app sample google/veo-3-1-fast --save input.json
# 2. Edit the prompt
# 3. Run
belt app run google/veo-3-1-fast --input input.jsonRelated Skills
# Full platform skill (all 250+ apps)
npx skills add inference-sh/skills@infsh-cli
# All video generation models
npx skills add inference-sh/skills@ai-video-generation
# AI avatars & lipsync
npx skills add inference-sh/skills@ai-avatar-video
# Image generation (for image-to-video)
npx skills add inference-sh/skills@ai-image-generationBrowse all video apps: belt app store --category video
Documentation
- Running Apps - How to run apps via CLI
- Streaming Results - Real-time progress updates
- Content Pipeline Example - Building media workflows