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 agentmods add skills/digitalsamba/claude-code-video-toolkit/ltx2npx skills add digitalsamba/claude-code-video-toolkit --skill ltx2git clone --depth 1 https://github.com/digitalsamba/claude-code-video-toolkitWrote 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/digitalsamba/claude-code-video-toolkit/ltx2)<a href="https://agentmods.dev/skills/digitalsamba/claude-code-video-toolkit/ltx2"><img src="https://agentmods.dev/badge/skills/digitalsamba/claude-code-video-toolkit/ltx2.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00076 | $0.02553 |
| Opus 5 | $0.00038 | $0.01277 |
| Sonnet 5 | $0.00015 | $0.00511 |
| Haiku 4.5 | $0.00008 | $0.00255 |
Grade A, and why
ltx2 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 4d 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 — 223 lines — stays where its author put it; the contents beside it link to each section on GitHub.
LTX-2.3 Video Generation
Generate ~5 second video clips from text prompts or images using the LTX-2.3 22B DiT model.
Runs on Modal (A100-80GB). Requires MODAL_LTX2_ENDPOINT_URL in .env.
Quick Reference
# Text-to-video
uv run tools/ltx2.py --prompt "A sunset over the ocean, golden light on waves, cinematic" --output sunset.mp4
# Image-to-video (animate a still image)
uv run tools/ltx2.py --prompt "Gentle camera drift, soft ambient motion" --input photo.jpg --output animated.mp4
# Custom resolution and duration
uv run tools/ltx2.py --prompt "..." --width 1024 --height 576 --num-frames 161 --output wide.mp4
# Fast mode (fewer steps, quicker)
uv run tools/ltx2.py --prompt "..." --quality fast --output quick.mp4
# Reproducible output
uv run tools/ltx2.py --prompt "..." --seed 42 --output reproducible.mp4
Parameters
| Parameter | Default | Description |
|---|---|---|
--prompt |
(required) | Text description of the video |
--input |
- | Input image for image-to-video |
--width |
768 | Video width (divisible by 64) |
--height |
512 | Video height (divisible by 64) |
--num-frames |
121 | Frame count, must satisfy (n-1) % 8 == 0 |
--fps |
24 | Frames per second |
--quality |
standard | standard (30 steps) or fast (15 steps) |
--steps |
30 | Override inference steps directly |
--seed |
random | Seed for reproducibility |
--output |
auto | Output file path |
--negative-prompt |
sensible default | What to avoid |
--lora |
none | Style LoRA preset. Currently: crt-terminal. |
Style LoRAs
Style LoRAs bias the output toward a specific visual aesthetic. They're baked into the Modal image and selected per-request; switching LoRAs forces a pipeline rebuild (~60s one-time cost per container lifetime per switch).
crt-terminal — CRT / pixel-art terminals
Base: LTX-2.3 22B, trained by @lovis93 (Apache 2.0).
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.
- 4d ago First seen · 223 lines · 76 tokens per session scan A 0f8851a1a0b7
ltx2 is a skill published in the GitHub repository digitalsamba/claude-code-video-toolkit (2,041 stars, last pushed 3d ago), licensed MIT. It adds 76 tokens to every session and 2,553 once invoked, about $0.0004 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
creador_videos_ai
Build a 30-second cinematic marketing video for any website URL using the Causal AI Digital pipeline (Playwright iframe scroll tour + ElevenLabs voice off + whisper.cpp word-level synced subtitles + FFmpeg audio mux). Use when the user asks to generate a promotional/marketing video for a website, create a cinematic…
remotion-best-practices
Best practices for Remotion - Video creation in React.
videoagent-audio-studio
Tired of juggling multiple audio APIs? This skill gives you one-command access to TTS, music generation, sound effects, and voice cloning. Use when you want to generate any audio without managing multiple API keys.
dubbing
Dub audio and video into other languages using the ElevenLabs Dubbing API (dubbingv2), preserving the original speakers' voices. Use when translating videos, podcasts, or recordings into other languages, localizing media content, reviewing or correcting dubbing transcripts and translations, or regenerating a dub after…
music
Generate music using ElevenLabs Music API. Use when creating instrumental tracks, songs with lyrics, background music, jingles, or any AI-generated music composition. Supports prompt-based generation, composition plans for granular control, and detailed output with metadata.
voice-changer
Transform the voice in an audio recording into a different target voice while preserving emotion, timing, and delivery using the ElevenLabs Voice Changer (speech-to-speech) API. Use when converting one voice to another, changing the speaker/narrator of an existing recording, dubbing a voice-over in a different voice…