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
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/digitalsamba/claude-code-video-toolkitnpx agentmods add skills/digitalsamba/claude-code-video-toolkit/acestepWrote 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/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/digitalsamba/claude-code-video-toolkit/acestep"><img src="https://agentmods.dev/badge/skills/digitalsamba/claude-code-video-toolkit/acestep.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Privilege Escalation · line 19 Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
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 | $0.00084 | $0.03663 |
| Opus 5.5 | $0.00034 | $0.01465 |
| Sonnet 5.5 | $0.00017 | $0.00733 |
| Haiku 4.5 | $0.00008 | $0.00366 |
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 7d 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 — 351 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 1.5 XL Turbo (4B DiT, no LM) on Modal A10G. 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.
- 7d ago Changed · +5 lines c33f2c182005
- 1mo 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 (2,281 stars, last pushed today), licensed MIT. It adds 84 tokens to every session and 3,663 once invoked, about $0.0003 per session on Opus 5.5. 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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