Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add aAAaqwq/AGI-Super-Team --skill arch-video-cutgit clone --depth 1 https://github.com/aAAaqwq/AGI-Super-TeamWrote 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/arch-video-cut)<a href="https://agentmods.dev/skills/aaaaqwq/agi-super-team/arch-video-cut"><img src="https://agentmods.dev/badge/skills/aaaaqwq/agi-super-team/arch-video-cut/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/arch-video-cut"><img src="https://agentmods.dev/badge/skills/aaaaqwq/agi-super-team/arch-video-cut.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 | $0.00013 | $0.01506 |
| Opus 5 | $0.00006 | $0.00753 |
| Sonnet 5 | $0.00003 | $0.00301 |
| Haiku 4.5 | $0.00001 | $0.00151 |
Grade A, and why
arch-video-cut 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 6d 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 — 252 lines — stays where its author put it; the contents beside it link to each section on GitHub.
arch-video-cut
Automatic Architecture Video Editing Workflow with Self-Learning Preferences
Description
Automatically complete the full architecture video editing workflow: multi-video merging, speech-to-text subtitles, background music mixing, and dual output (landscape + portrait). Built-in self-learning system remembers your editing preferences.
Core Features:
- 🎬 Auto merge multiple videos + duration compression
- 🎙️ Speech transcription or custom subtitles
- 🎵 Smart background music generation + mixing
- 📱 Dual output: landscape (16:9) + portrait (3:4)
- 🧠 Self-evolving preference system
Usage
Quick Start
cd ~/.openclaw/workspace/skills/arch-video-cut
python3 scripts/full_workflow.py
Prerequisites
- Install dependencies:
brew install ffmpeg-full # Required for libass subtitle support
pip3 install faster-whisper # Optional: for speech transcription
- Prepare materials:
- Audio file:
~/Desktop/新录音 XX.m4a(narration voiceover) - Video folder:
data/m1/(architecture video clips to merge)
- Configure preferences (optional):
python3 scripts/manage_preferences.py set
Commands
| Command | Description |
|---|---|
python3 scripts/full_workflow.py |
Execute full editing workflow |
python3 scripts/manage_preferences.py show |
View current preferences |
python3 scripts/manage_preferences.py set |
Interactive preference editor |
python3 scripts/manage_preferences.py reset |
Reset to defaults |
Configuration
Preferences
Edit config/user_preferences.json or run manage_preferences.py set:
{
"video": {
"target_duration": 20.0, // Target duration in seconds
"vertical_format": "3:4", // Portrait aspect ratio
"vertical_resolution": "1080x1440"
},
"subtitles": {
"horizontal_font_size": 14, // Landscape font size (px)
"vertical_font_size": 10, // Portrait font size (px)
"font_name": "STHeiti", // Font family
"auto_wrap": true, // Auto word wrap
"margin_v": 30 // Bottom margin (px)
},
"audio": {
"background_music_volume": 0.15, // BGM volume (0-1)
"fade_in_duration": 2, // Fade-in duration (sec)
"fade_out_duration": 2 // Fade-out duration (sec)
}
}
What ships with it
7 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.
- 6d ago First seen · 252 lines · 13 tokens per session scan A 43db63fd2ac2
arch-video-cut is a skill published in the GitHub repository aAAaqwq/AGI-Super-Team (91 stars, last pushed yesterday), licensed MIT. It adds 13 tokens to every session and 1,506 once invoked, about $0.0001 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 2026-09-05.
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