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/moviepynpx skills add digitalsamba/claude-code-video-toolkit --skill moviepygit 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/moviepy)<a href="https://agentmods.dev/skills/digitalsamba/claude-code-video-toolkit/moviepy"><img src="https://agentmods.dev/badge/skills/digitalsamba/claude-code-video-toolkit/moviepy.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 | $0.00124 | $0.03443 |
| Opus 5 | $0.00062 | $0.01722 |
| Sonnet 5 | $0.00025 | $0.00689 |
| Haiku 4.5 | $0.00012 | $0.00344 |
Grade A, and why
moviepy 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 — 253 lines — stays where its author put it; the contents beside it link to each section on GitHub.
moviepy for Video Production
moviepy is the toolkit's go-to library for putting deterministic text on top of AI-generated video and for building short, single-file Python video projects without a Remotion toolchain.
The deeper principle is trustworthy text: any genre where text has to be readable, accurate, and consistent (legally, editorially, or commercially) is a genre where AI-rendered in-frame text is unacceptable and a moviepy overlay step is the natural fix. Names must be spelled right. Prices must be exact. Source attributions must be pixel-perfect. AI generation models cannot guarantee any of that.
When to use moviepy vs. Remotion
| Use moviepy when… | Use Remotion when… |
|---|---|
| Overlaying text/labels on an LTX-2 or SadTalker output | Building long-form sprint reviews or product demos |
Building sub-30s ad-style spots in a single build.py |
Multi-template, multi-brand, design-heavy work |
Compositing data-driven visuals (matplotlib FuncAnimation → mp4) |
Anything needing React components or design system reuse |
| One-off transformations on existing video files | Anything where the project lifecycle (planning → render) matters |
| You want zero Node.js / no React mental overhead | You want hot-reload preview in Remotion Studio |
Two runnable references for everything in this skill live in examples/:
examples/quick-spot/build.py— 15-second ad-style spot. Audio-anchored timeline, text overlay, optional VO + ducked music. Renders silent out of the box with zero external assets.examples/data-viz-chart/build.py— animated time-series chart with deterministic title and source attribution. Demonstrates the matplotlib (data) + moviepy (trustworthy text) split.
Both run with uv run build.py and produce a real out.mp4 immediately. Read them alongside this skill — every pattern below is shown working there.
Dependencies. moviepy, Pillow, and matplotlib are declared in the root pyproject.toml and installed with the toolkit's one-line Python setup: uv sync. If you hit Missing dependency when running an example, run that command from the repo root — the examples' build.py files will tell you the same thing in their error message and exit cleanly rather than printing a bare traceback.
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 · 253 lines · 124 tokens per session scan A 2960d7994fd7
moviepy is a skill published in the GitHub repository digitalsamba/claude-code-video-toolkit (2,045 stars, last pushed 5d ago), licensed MIT. It adds 124 tokens to every session and 3,443 once invoked, about $0.0006 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.
playwright-cli
Automate browser interactions, test web pages and work with Playwright tests.
playwright-dev
Explains how to develop Playwright - add APIs, MCP tools, CLI commands, and vendor dependencies.
playwright-devops
DevOps workflows for Playwright - CI failure analysis, workflow debugging, and release operations.
auto-research
Research uncertain questions with an explicit, user-approved web search or ChatGPT consultation, then present options and wait for implementation approval.