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/elevenlabsWrote 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/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/elevenlabs"><img src="https://agentmods.dev/badge/skills/digitalsamba/claude-code-video-toolkit/elevenlabs.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- 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 | $0.00063 | $0.03814 |
| Opus 5.5 | $0.00025 | $0.01526 |
| Sonnet 5.5 | $0.00013 | $0.00763 |
| Haiku 4.5 | $0.00006 | $0.00381 |
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 16d 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 — 416 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. Toolkit default; supports style + speed |
eleven_v4 |
Most expressive | None (audio tags, IPA) | Newest (released 2026-09-28), 90+ languages, best clone accuracy. Stability + similarity only, no style/speed |
eleven_flash_v2_5 |
Good | <break>, <phoneme> |
Fastest, cheapest; supports pause/pronunciation tags |
eleven_v3 |
Expressive | None | Previous generation — prefer v4 |
Choose: multilingual_v2 for reliability and speed/style control, v4 for maximum expressiveness and cloned voices (test a few takes), flash for SSML control.
Deprecated: eleven_turbo_v2_5 → use eleven_flash_v2_5 (same quality, lower latency; see deprecated models). The toolkit still accepts --model eleven_turbo_v2_5: it prints a one-line warning and sends eleven_flash_v2_5.
Eleven v4
Released 2026-09-28 (changelog, model page). The toolkit calls v4 through the Text to Dialogue API with one input (the narrator voice), as ElevenLabs recommends for content creation and long-form audio:
from elevenlabs import DialogueInput
audio = client.text_to_dialogue.convert(
inputs=[DialogueInput(text="[warm] Welcome to my video!", voice_id="JBFqnCBsd6RMkjVDRZzb")],
model_id="eleven_v4",
settings={"stability": 0.5, "similarity": 0.75}, # the only two settings v4 takes
)
save(audio, "voiceover.mp3")
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.
- 16d ago Changed · +39 lines 056d42feb93e
- 1mo 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 (2,372 stars, last pushed today), licensed MIT. It adds 63 tokens to every session and 3,814 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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