Agent skill · Audited from source
happyhorse
skill · magentosh/skillsLicence not declaredAudited 28 Oct 2026 · source 4599ef28a2a7
Is it safe? Yes — SAFE, grade B (89/100). We read this skill's source at commit 4599ef28a2a7 and found no filesystem, network or shell access and no hard-coded secrets. What it does: Generate and edit videos with Alibaba HappyHorse 1.0 models via inference.sh CLI. Models: HappyHorse T2V, I2V, R2V, Video Edit. Capabilities: text-to-video, image-to-video, reference-to-video, video editing with natural…
Cite
Cite this page
ModelsAtlas. “happyhorse (magentosh/skills)”. Retrieved 28 Oct 2026. https://modelsatlas.com/skills/magentosh/happyhorse
6 skills are called “happyhorse”. You are viewing magentosh/skills.
- magentosh/skills★ 785✓SAFE
- 101-skills/skills★ 785✓SAFE
- halt-catch-fire/skills★ 785✓SAFE
- qu-skills/skills★ 785✓SAFE
- skills-shell/skills★ 785✓SAFE
and 1 more with this name.
Trust audit
Audit 0.4.1 · source read 28 Oct 2026
SAFE means nothing in the source contradicts what the skill says it does. Grade B is shared by 13,985 of 14,816 audited skills.
What the source does
- FilesystemNone observedNo reads or writes in the source
- NetworkNone observedNo outbound calls in the source
- ShellNone observedNo commands run in the source
- DependenciesPinnedNothing floats
- SecretsNone foundNo keys in source
Five audit layers
| Layer | What we check | Result | Findings |
|---|---|---|---|
L0 Provenance | Repo owner, licence, archive status, activity | PASS | 1 |
L1 Static source | Secrets, path traversal, supply chain, hidden code | NA | 0 |
L2 Instructions | Prompt injection, authority framing, hidden directives | PASS | 0 |
L3 Inventory | The files and declarations match the source | PASS | 0 |
L4 Sandbox | Run in isolation and watch behaviour | SKIPPED why | 0 |
Gates applied: no behavioural pass, no license.
Findings (1)
LOWInventory / provenanceinv.no_license
- Why
- no LICENSE file and no repo licence
- Fix
- add a licence
Audit 0.4.1 · source sha 4599ef28a2a7 · 28 Oct 2026Report an issue or request a re-scan
Provenance
Who published it, and what the verdict is pinned to
- Publishermagentosh GitHub organizationOwner of the repository this skill is read from
- Source foldermagentosh/skills/tools/video/happyhorseThe exact folder we audited
- LicenceNot declaredAs the repository states it
- Commit pinned for this verdict4599ef28a2a7A new audit runs when the source changes
- Repository statusNot archivedLast push 12 days ago
- Sandboxed runNot runSkills are read, not executed; layer L4 is skipped
What it tells the agent
Full source on GitHub ↗Its description: Generate and edit videos with Alibaba HappyHorse 1.0 models via inference.sh CLI. Models: HappyHorse T2V, I2V, R2V, Video Edit. Capabilities: text-to-video, image-to-video, reference-to-video, video editing with natural…
---
name: happyhorse
description: "Generate and edit videos with Alibaba HappyHorse 1.0 models via inference.sh CLI. Models: HappyHorse T2V, I2V, R2V, Video Edit. Capabilities: text-to-video, image-to-video, reference-to-video, video editing with natural language, character preservation, 720P/1080P, up to 15 seconds. Use for: physically realistic video, video editing, character-consistent content, product demos, social media. Triggers: happyhorse, happy horse, alibaba video, happyhorse 1.0, dashscope video, alibaba happyhorse, video editing ai, ai video editor"
allowed-tools: Bash(belt *)
---
> **Install the belt CLI skill:** `npx skills add belt-sh/cli`
# HappyHorse 1.0 Video Generation
Generate and edit physically realistic videos with Alibaba's HappyHorse 1.0 models via [inference.sh](https://inference.sh) CLI.
## Quick Start
> Requires inference.sh CLI (`belt`). [Install instructions](https://raw.githubusercontent.com/inference-sh/skills/refs/heads/main/cli-install.md)
```bash
belt login
belt app run alibaba/happyhorse-1-0-t2v --input '{"prompt": "a horse galloping across a sunlit meadow"}'
```
## HappyHorse Models
| Model | App ID | Best For |
|-------|--------|----------|
| T2V | `alibaba/happyhorse-1-0-t2v` | Text-to-video, physically realistic motion |
| I2V | `alibaba/happyhorse-1-0-i2v` | Animate a single image |
| R2V | `alibaba/happyhorse-1-0-r2v` | Preserve characters from up to 9 reference images |
| Video Edit | `alibaba/happyhorse-1-0-video-edit` | Edit existing videos with natural language |
All models support 720P/1080P resolution, up to 15 seconds duration.
## Examples
### Text-to-Video
```bash
belt app run alibaba/happyhorse-1-0-t2v --input '{
"prompt": "a golden retriever running through autumn leaves in a park, slow motion",
"duration": 10,
"resolution": "1080P",
"ratio": "16:9"
}'
```
### Image-to-Video
Animate a still image:
```bash
belt app run alibaba/happyhorse-1-0-i2v --input '{
"first_frame": "https://your-image.jpg",
"prompt": "gentle camera zoom, clouds moving in the sky",
"duration": 8,
"resolution": "720P"
}'
```
### Reference-to-Video (Character Preservation)
Generate videos that preserve characters from reference images (up to 9):
```bash
belt app run alibaba/happyhorse-1-0-r2v --input '{
"prompt": "a woman walking through a busy market street",
"reference_images": ["https://portrait.jpg"],
"duration": 10,
"resolution": "720P"
}'
```
### Multi-Character Reference
```bash
belt app run alibaba/happyhorse-1-0-r2v --input '{
"prompt": "two friends sitting at a cafe having coffee",
"reference_images": ["https://person1.jpg", "https://person2.jpg"],
"ratio": "16:9"
}'
```
### Video Editing
Edit existing videos using natural language instructions:
```bash
belt app run alibaba/happyhorse-1-0-video-edit --input '{
"video": "https://your-video.mp4",
"prompt": "change the background to a snowy mountain landscape"
}'
```
### Video Editing with Reference Images
```bash
belt app run alibaba/happyhorse-1-0-video-edit --input '{
"video": "https://your-video.mp4",
"prompt": "replace the person with the character from the reference image",
"reference_images": ["https://character.jpg"]
}'
```
### Video Editing with Audio Control
```bash
belt app run alibaba/happyhorse-1-0-video-edit --input '{
"video": "https://your-video.mp4",
"prompt": "make the scene look like a rainy day",
"audio_setting": "generate"
}'
```
## Pricing
| Resolution | Price |
|------------|-------|
| 720P | $0.14 per second |
| 1080P | $0.24 per second |
Video Edit is billed on input + output duration.
## Parameters (T2V)
| Parameter | Type | Default | Description |
|-----------|------|---------|-------------|
| `prompt` | string | required | Text description of the video |
| `duration` | integer | 5 | Duration in seconds (3–15) |
| `resolution` | enum | 720P | 720P or 1080P |
| `ratio` | enum | 16:9 | 16:9, 9:16, 1:1, 4:3, 3:4, 21:9 |
| `seed` | integer | random | Reproducible generation |
| `watermark` | boolean | false | Add HappyHorse watermark |
## Parameters (I2V)
| Parameter | Type | Default | Description |
|-----------|------|---------|-------------|
| `first_frame` | file | required | First frame image (JPEG, PNG, WebP) |
| `prompt` | string | - | Optional text description |
| `duration` | integer | 5 | Duration in seconds (3–15) |
| `resolution` | enum | 720P | 720P or 1080P |
| `seed` | integer | random | Reproducible generation |
## Parameters (R2V)
| Parameter | Type | Default | Description |
|-----------|------|---------|-------------|
| `prompt` | string | required | Text description of the scene |
| `reference_images` | array | required | Up to 9 character reference images |
| `duration` | integer | 5 | Duration in seconds (3–15) |
| `resolution` | enum | 720P | 720P or 1080P |
| `ratio` | enum | 16:9 | 16:9, 9:16, 1:1, 4:3, 3:4, 21:9 |
| `seed` | integer | random | Reproducible generation |
## Parameters (Video Edit)
| Parameter | Type | Default | Description |
|-----------|------|---------|-------------|
| `video` | file | required | Video to edit (MP4/MOV, H.264) |
| `prompt` | string | required | Editing instruction |
| `reference_images` | array | - | Up to 5 reference images |
| `audio_setting` | enum | auto | auto, generate, or keep_original |
| `resolution` | enum | 720P | 720P or 1080P |
| `seed` | integer | random | Reproducible generation |
## Search HappyHorse Apps
```bash
belt app search "happyhorse"
```
## Related Skills
```bash
# Full platform skill (all apps)
npx skills add inference-sh/skills@infsh-cli
# All video generation models
npx skills add inference-sh/skills@ai-video-generation
# Seedance 2.0
npx skills add inference-sh/skills@seedance
# Google Veo
npx skills add inference-sh/skills@google-veo
# Image generation (for image-to-video)
npx skills add inference-sh/skills@ai-image-generation
```
Browse all video apps: `belt app list --category video`
## Documentation
- [RuExcerpt, first 6,000 characters of SKILL.md, verbatim from the audited commit. It is text from someone else’s repository, quoted so you can judge it before your agent reads it.
Install
Pinned to the audited commit 4599ef2
npx skills add inference-sh/skills@infsh-cli npx skills add inference-sh/skills@ai-video-generation npx skills add inference-sh/skills@seedance npx skills add inference-sh/skills@google-veo npx skills add inference-sh/skills@ai-image-generation
git clone https://github.com/magentosh/skills git -C skills checkout 4599ef28a2a7
Commands as the repository documents them: shown, never run by us. Our verdict covers commit 4599ef28a2a7 only.
Works in
The author has not said which agents this skill supports, and we have not tested it in any.
Audit history
Every audit, every source change
- ✓SAFE B 89 / 100
first audit · source
4599ef28a2a7
README badge
For maintainers · shows the latest audit
[](https://modelsatlas.com/skills/magentosh/happyhorse/)
The badge shows our verdict and grade for this skill, and links back to this page. It changes when the audit does.
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Questions about happyhorse
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Sources
- github.com/magentosh/skills/tree/main/tools/video/happyhorse — the audited source at commit 4599ef28a2a7 and every finding aboveObserved · 28 Oct 2026
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- What does the happyhorse skill do?
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