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/elevenlabsnpx skills add digitalsamba/claude-code-video-toolkit --skill elevenlabsgit 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/elevenlabs)<a href="https://agentmods.dev/skills/digitalsamba/claude-code-video-toolkit/elevenlabs"><img src="https://agentmods.dev/badge/skills/digitalsamba/claude-code-video-toolkit/elevenlabs.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 5.1 | $0.00063 | $0.02908 |
| Opus 5 | $0.00032 | $0.01454 |
| Sonnet 5 | $0.00013 | $0.00582 |
| Haiku 4.5 | $0.00006 | $0.00291 |
Grade A, and why
elevenlabs 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 — 377 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ElevenLabs Audio Generation
Requires ELEVENLABS_API_KEY in .env.
Text-to-Speech
from elevenlabs.client import ElevenLabs
from elevenlabs import save, VoiceSettings
import os
client = ElevenLabs(api_key=os.getenv("ELEVENLABS_API_KEY"))
audio = client.text_to_speech.convert(
text="Welcome to my video!",
voice_id="JBFqnCBsd6RMkjVDRZzb",
model_id="eleven_multilingual_v2",
voice_settings=VoiceSettings(
stability=0.5,
similarity_boost=0.75,
style=0.5,
speed=1.0
)
)
save(audio, "voiceover.mp3")
Models
| Model | Quality | SSML Support | Notes |
|---|---|---|---|
eleven_multilingual_v2 |
Highest consistency | None | Stable, production-ready, 29 languages |
eleven_flash_v2_5 |
Good | <break>, <phoneme> |
Fast, supports pause/pronunciation tags |
eleven_turbo_v2_5 |
Good | <break>, <phoneme> |
Fastest latency |
eleven_v3 |
Most expressive | None | Alpha — unreliable, needs prompt engineering |
Choose: multilingual_v2 for reliability, flash/turbo for SSML control, v3 for maximum expressiveness (expect retakes).
Voice Settings by Style
| Style | stability | similarity | style | speed |
|---|---|---|---|---|
| Natural/professional | 0.75-0.85 | 0.9 | 0.0-0.1 | 1.0 |
| Conversational | 0.5-0.6 | 0.85 | 0.3-0.4 | 0.9-1.0 |
| Energetic/YouTuber | 0.3-0.5 | 0.75 | 0.5-0.7 | 1.0-1.1 |
Pauses Between Sections
With flash/turbo models: Use SSML break tags inline:
...end of section. <break time="1.5s" /> Start of next...
Max 3 seconds per break. Excessive breaks can cause speed artifacts.
With multilingual_v2 / v3: No SSML support. Options:
- Paragraph breaks (blank lines) — creates ~0.3-0.5s natural pause
- Post-process with ffmpeg: split audio and insert silence
WARNING: ... (ellipsis) is NOT a reliable pause — it can be vocalized as a word/sound. Do not use ellipsis as a pause mechanism.
What ships with it
1 file 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 · 377 lines · 63 tokens per session scan A 70e82a59520a
elevenlabs is a skill published in the GitHub repository digitalsamba/claude-code-video-toolkit (2,045 stars, last pushed 5d ago), licensed MIT. It adds 63 tokens to every session and 2,908 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.
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