Claude Code Video Toolkit is a workspace that lets Claude Code create videos by producing scripts, voiceovers, music, visuals, and rendered MP4 files. It is for developers using AI-assisted, programmatic video production with tools such as Remotion and open-source media models. The catalogue entries provide commands, skills, instructions, and settings for this workflow.
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/acestepnpx skills add digitalsamba/claude-code-video-toolkit --skill acestepgit 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/acestep)<a href="https://agentmods.dev/skills/digitalsamba/claude-code-video-toolkit/acestep"><img src="https://agentmods.dev/badge/skills/digitalsamba/claude-code-video-toolkit/acestep.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 | $0.00084 | $0.03500 |
| Opus 5 | $0.00042 | $0.01750 |
| Sonnet 5 | $0.00017 | $0.00700 |
| Haiku 4.5 | $0.00008 | $0.00350 |
Grade A, and why
acestep 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 5d 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 — 346 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ACE-Step 1.5 Music Generation
Open-source music generation via tools/music_gen.py.
Cloud providers:
- acemusic (default) — Official ACE-Step cloud API with XL Turbo (4B) model + 5Hz LM thinking mode. Free API key from acemusic.ai/api-key. No GPU required.
- modal — Self-hosted ACE-Step 2B Turbo on Modal. Requires
MODAL_MUSIC_GEN_ENDPOINT_URL. - runpod — Self-hosted ACE-Step 2B Turbo on RunPod. Requires
RUNPOD_ACESTEP_ENDPOINT_ID.
Setup
# acemusic (recommended — free, best quality, no GPU)
echo "ACEMUSIC_API_KEY=your_key" >> .env
# Get key at https://acemusic.ai/api-key
# Self-hosted (optional fallback)
uv run tools/music_gen.py --setup # RunPod
uv run modal deploy docker/modal-music-gen/app.py # Modal
Quick Reference
# Basic generation (uses acemusic XL Turbo by default)
uv run tools/music_gen.py --prompt "Upbeat tech corporate" --duration 60 --output bg.mp3
# Generate 4 variations, pick the best
uv run tools/music_gen.py --prompt "Calm ambient piano" --duration 30 --variations 4 --output ambient.mp3
# Fast mode (disable thinking)
uv run tools/music_gen.py --no-thinking --prompt "Quick draft" --duration 30 --output draft.mp3
# With musical control
uv run tools/music_gen.py --prompt "Calm ambient piano" --duration 30 --bpm 72 --key "D Major" --output ambient.mp3
# Scene presets (video production)
uv run tools/music_gen.py --preset corporate-bg --duration 60 --output bg.mp3
uv run tools/music_gen.py --preset tension --duration 20 --output problem.mp3
uv run tools/music_gen.py --preset cta --brand digital-samba --duration 15 --output cta.mp3
# Vocals with lyrics
uv run tools/music_gen.py --prompt "Indie pop jingle" --lyrics "[verse]\nBuild it better\nShip it faster" --duration 30 --output jingle.mp3
# Cover / style transfer
uv run tools/music_gen.py --cover --reference theme.mp3 --prompt "Jazz piano version" --duration 60 --output jazz_cover.mp3
# Repaint a weak section
uv run tools/music_gen.py --repaint --input track.mp3 --repaint-start 15 --repaint-end 25 --prompt "Guitar solo" --output fixed.mp3
# Continue from existing audio
uv run tools/music_gen.py --continuation --input track.mp3 --prompt "Continue with jazz piano" --output extended.mp3
# Stem extraction
uv run tools/music_gen.py --extract vocals --input mixed.mp3 --output vocals.mp3
# Fall back to self-hosted
uv run tools/music_gen.py --cloud modal --prompt "Background music" --duration 60 --output bg.mp3
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.
- 5d ago First seen · 346 lines · 84 tokens per session scan A b71068ec3978
acestep is a skill published in the GitHub repository digitalsamba/claude-code-video-toolkit (2,041 stars, last pushed 4d ago), licensed MIT. It adds 84 tokens to every session and 3,500 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.
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voice-changer
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