Agent skill · Audited from source
p-video-avatar
skill · halt-catch-fire/skillsLicence not declaredAudited 31 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 talking head avatar videos with Pruna P-Video-Avatar via inference.sh CLI. Turn a portrait image into a realistic speaking video with built-in TTS. 18x faster and 6x cheaper than competitors. Models:…
Cite
Cite this page
ModelsAtlas. “p-video-avatar (halt-catch-fire/skills)”. Retrieved 31 Oct 2026. https://modelsatlas.com/skills/halt-catch-fire/p-video-avatar
6 skills are called “p-video-avatar”. You are viewing halt-catch-fire/skills.
- halt-catch-fire/skills★ 793✓SAFE
- 101-skills/skills★ 793✓SAFE
- magentosh/skills★ 793✓SAFE
- qu-skills/skills★ 793!CAUTION
- skills-shell/skills★ 793✓SAFE
and 1 more with this name.
Trust audit
Audit 0.4.1 · source read 31 Oct 2026
SAFE means nothing in the source contradicts what the skill says it does. Grade B is shared by 16,667 of 17,602 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 · 31 Oct 2026Report an issue or request a re-scan
Provenance
Who published it, and what the verdict is pinned to
- Publisherhalt-catch-fire GitHub organizationOwner of the repository this skill is read from
- Source folderhalt-catch-fire/skills/tools/video/p-video-avatarThe 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 16 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 talking head avatar videos with Pruna P-Video-Avatar via inference.sh CLI. Turn a portrait image into a realistic speaking video with built-in TTS. 18x faster and 6x cheaper than competitors. Models:…
---
name: p-video-avatar
description: "Generate talking head avatar videos with Pruna P-Video-Avatar via inference.sh CLI. Turn a portrait image into a realistic speaking video with built-in TTS. 18x faster and 6x cheaper than competitors. Models: P-Video-Avatar, P-Image (for portrait generation). Capabilities: text-to-avatar, audio-driven avatars, 30 voices, 10 languages, 720p/1080p, built-in TTS, dynamic backgrounds, full-body control. Use for: AI presenters, product demos, explainer videos, virtual influencers, marketing, education, multilingual content, UGC, gaming avatars. Triggers: avatar video, talking head, ai avatar, p-video-avatar, pruna avatar, video avatar, ai presenter, digital human, virtual presenter, lipsync, talking avatar, ai spokesperson, heygen alternative, synthesia alternative, veed alternative, fabric alternative, omnihuman alternative"
allowed-tools: Bash(belt *)
---
> **Install the belt CLI skill:** `npx skills add belt-sh/cli`
# Pruna P-Video-Avatar
Generate talking head avatar videos from a single portrait image via [inference.sh](https://inference.sh) CLI.
P-Video-Avatar is the fastest and most cost-effective avatar video model available. Quality on par with Veo 3.0, 18x faster and 6x cheaper than alternatives like Fabric, OmniHuman, and HeyGen.
## 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
# Generate avatar from portrait + text script
belt app run pruna/p-video-avatar --input '{
"image": "https://portrait.jpg",
"voice_script": "Hello, welcome to our product demo!",
"voice": "Zephyr (Female)"
}'
```
## Full Workflow: Generate Portrait + Avatar Video
Use Pruna P-Image to generate the portrait, then P-Video-Avatar to animate it:
```bash
# 1. Generate a portrait image with P-Image
belt app run pruna/p-image --input '{
"prompt": "professional headshot portrait of a young woman, neutral background, looking at camera, studio lighting, photorealistic",
"aspect_ratio": "9:16"
}'
# 2. Use the generated image URL to create the avatar video
belt app run pruna/p-video-avatar --input '{
"image": "<image-url-from-step-1>",
"voice_script": "Hi there! Let me walk you through our latest features.",
"voice": "Zephyr (Female)",
"resolution": "720p"
}'
```
## Examples
### Text Script with Voice Selection
```bash
belt app run pruna/p-video-avatar --input '{
"image": "https://portrait.jpg",
"voice_script": "Welcome to our product walkthrough. Today I will show you three key features.",
"voice": "Puck (Male)",
"voice_language": "English (US)",
"resolution": "720p"
}'
```
### Audio-Driven Avatar
Provide your own audio file instead of using built-in TTS:
```bash
belt app run pruna/p-video-avatar --input '{
"image": "https://portrait.jpg",
"audio": "https://speech.mp3"
}'
```
When both `audio` and `voice_script` are provided, audio takes priority.
### 1080p with Custom Style
```bash
belt app run pruna/p-video-avatar --input '{
"image": "https://portrait.jpg",
"voice_script": "This is exciting news for our community!",
"voice": "Aoede (Female)",
"voice_prompt": "Enthusiastic and energetic tone, slightly faster pace",
"video_prompt": "The person is presenting on stage with dramatic lighting",
"resolution": "1080p"
}'
```
### Multilingual Content
```bash
# Spanish
belt app run pruna/p-video-avatar --input '{
"image": "https://portrait.jpg",
"voice_script": "Bienvenidos a nuestra demostración de producto.",
"voice": "Kore (Female)",
"voice_language": "Spanish"
}'
# Japanese
belt app run pruna/p-video-avatar --input '{
"image": "https://portrait.jpg",
"voice_script": "こんにちは、製品デモへようこそ。",
"voice": "Leda (Female)",
"voice_language": "Japanese"
}'
```
### Reproducible Generation
```bash
belt app run pruna/p-video-avatar --input '{
"image": "https://portrait.jpg",
"voice_script": "Consistent results every time.",
"seed": 42
}'
```
## Available Voices
**Female:** Zephyr, Kore, Leda, Aoede, Callirrhoe, Autonoe, Despina, Erinome, Laomedeia, Achernar, Gacrux, Pulcherrima, Vindemiatrix, Sulafat
**Male:** Puck, Charon, Fenrir, Orus, Enceladus, Iapetus, Umbriel, Algenib, Algieba, Schedar, Achird, Zubenelgenubi, Sadachbia, Sadaltager, Alnilam, Rasalgethi
## Supported Languages
English (US), English (UK), Spanish, French, German, Italian, Portuguese (Brazil), Japanese, Korean, Hindi
## Parameters
| Parameter | Type | Default | Description |
|-----------|------|---------|-------------|
| `image` | file | required | Portrait image (jpg, jpeg, png, webp) |
| `voice_script` | string | - | Text for the person to say |
| `audio` | file | - | Audio file (overrides voice_script) |
| `voice` | string | "Zephyr (Female)" | Voice selection |
| `voice_language` | string | "English (US)" | Output language |
| `resolution` | string | "720p" | 720p or 1080p |
| `video_prompt` | string | "The person is talking." | Control avatar behavior and background |
| `voice_prompt` | string | "Say the following." | Control tone, pacing, emotion |
| `seed` | int | random | Reproducible generation |
| `disable_safety_filter` | bool | true | Disable content filter |
| `disable_prompt_upsampling` | bool | false | Skip prompt enhancement |
## Pricing
| Resolution | Price |
|------------|-------|
| 720p | $0.025 per second of output video |
| 1080p | $0.045 per second of output video |
Example: 30-second 720p video = $0.75
### Free Launch Weekend
**P-Video-Avatar is completely free from Thursday May 1, 2026 4:00 PM CET through Sunday May 4, 2026 11:59 PM CET.** All costs are on us during this window — no billing, no limits on resolution.
## Competitive Advantage
| Feature | P-Video-Avatar | Fabric 1.0 | OmniHuman 1.5 | HeyGen Avatar 4 |
|---------|---------------|------------|---------------|-----------------|
| Speed (per sec of video) | ~1.83s/s | ~34s/s (18x slower) | ~28s/s (15x slower) | ~26s/s Excerpt, 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@p-video npx skills add inference-sh/skills@p-image npx skills add inference-sh/skills@ai-video-generation npx skills add inference-sh/skills@ai-image-generation
git clone https://github.com/halt-catch-fire/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
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Sources
- github.com/halt-catch-fire/skills/tree/main/tools/video/p-video- — the audited source at commit 4599ef28a2a7 and every finding aboveObserved · 31 Oct 2026
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- What does the p-video-avatar skill do?
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- What can p-video-avatar access on my machine?