Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/aAAaqwq/AGI-Super-Teamnpx agentmods add skills/aaaaqwq/agi-super-team/ai-video-genWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/aaaaqwq/agi-super-team/ai-video-gen)<a href="https://agentmods.dev/skills/aaaaqwq/agi-super-team/ai-video-gen"><img src="https://agentmods.dev/badge/skills/aaaaqwq/agi-super-team/ai-video-gen/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/aaaaqwq/agi-super-team/ai-video-gen"><img src="https://agentmods.dev/badge/skills/aaaaqwq/agi-super-team/ai-video-gen.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00052 | $0.00910 |
| Opus 5 | $0.00026 | $0.00455 |
| Sonnet 5 | $0.00010 | $0.00182 |
| Haiku 4.5 | $0.00005 | $0.00091 |
Grade A, and why
ai-video-gen scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 127 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AI Video Generation Skill
Generate complete videos from text descriptions using AI.
Capabilities
- Image Generation - DALL-E 3, Stable Diffusion, Flux
- Video Generation - LumaAI, Runway, Replicate models
- Voice-over - OpenAI TTS, ElevenLabs
- Video Editing - FFmpeg assembly, transitions, overlays
Quick Start
# Generate a complete video
python skills/ai-video-gen/generate_video.py --prompt "A sunset over mountains" --output sunset.mp4
# Just images to video
python skills/ai-video-gen/images_to_video.py --images img1.png img2.png --output result.mp4
# Add voiceover
python skills/ai-video-gen/add_voiceover.py --video input.mp4 --text "Your narration" --output final.mp4
Setup
Required API Keys
Add to your environment or .env file:
# Image Generation (pick one)
OPENAI_API_KEY=sk-... # DALL-E 3
REPLICATE_API_TOKEN=r8_... # Stable Diffusion, Flux
# Video Generation (pick one)
LUMAAI_API_KEY=luma_... # LumaAI Dream Machine
RUNWAY_API_KEY=... # Runway ML
REPLICATE_API_TOKEN=r8_... # Multiple models
# Voice (optional)
OPENAI_API_KEY=sk-... # OpenAI TTS
ELEVENLABS_API_KEY=... # ElevenLabs
# Or use FREE local options (no API needed)
Install Dependencies
pip install openai requests pillow replicate python-dotenv
FFmpeg
Already installed via winget.
Usage Examples
1. Text to Video (Full Pipeline)
python skills/ai-video-gen/generate_video.py \
--prompt "A futuristic city at night with flying cars" \
--duration 5 \
--voiceover "Welcome to the future" \
--output future_city.mp4
2. Multiple Scenes
python skills/ai-video-gen/multi_scene.py \
--scenes "Morning sunrise" "Busy city street" "Peaceful night" \
--duration 3 \
--output day_in_life.mp4
3. Image Sequence to Video
python skills/ai-video-gen/images_to_video.py \
--images frame1.png frame2.png frame3.png \
--fps 24 \
--output animation.mp4
What ships with it
8 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 12d ago First seen · 127 lines · 52 tokens per session scan A 881cc4c65fde
ai-video-gen is a skill published in the GitHub repository aAAaqwq/AGI-Super-Team (91 stars, last pushed yesterday), licensed MIT. It adds 52 tokens to every session and 910 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
loom-artifacts
Receive files from the CodexLoom Thread composer and publish generated images or files back to the Thread as managed artifacts. Use when a user message contains loomattachments; an attached document, data file, image, or archive must be read; or the Agent has produced a file that the user should preview or download.…
exploring-zero-resource-designs
Use when exploring zero resource designs is required during creativity work, especially when the result must be traceable, independently reviewable, and safe to hand to another agent.
framing-creative-challenge
Use when framing creative challenge is required during creativity work, especially when the result must be traceable, independently reviewable, and safe to hand to another agent.
mutating-idea-genomes
Use when mutating idea genomes is required during creativity work, especially when the result must be traceable, independently reviewable, and safe to hand to another agent.
scoring-contextual-creativity
Use when scoring contextual creativity is required during creativity work, especially when the result must be traceable, independently reviewable, and safe to hand to another agent.
using-denial-ladders
Use when using denial ladders is required during creativity work, especially when the result must be traceable, independently reviewable, and safe to hand to another agent.