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 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/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/moviepy"><img src="https://agentmods.dev/badge/skills/digitalsamba/claude-code-video-toolkit/moviepy.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 | $0.00124 | $0.03443 |
| Opus 5.5 | $0.00050 | $0.01377 |
| Sonnet 5.5 | $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 1mo 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.
- 1mo 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 (2,372 stars, last pushed today), licensed MIT. It adds 124 tokens to every session and 3,443 once invoked, about $0.0005 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.
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…
playwright-cli
Automate browser interactions, test web pages and work with Playwright tests.
browse
Use the browse CLI for Browserbase browser automation, Browserbase cloud APIs, Browserbase Functions, templates, web fetch/search, diagnostics, and Browse.sh skill discovery/installation. Use when the user asks to navigate pages, inspect browser state, run local or remote browser sessions, manage Browserbase…
auto-research
Research uncertain questions with an explicit, user-approved web search or ChatGPT consultation, then present options and wait for implementation approval.
moli-webfetch
Fetch, inspect, crawl, and capture live, JavaScript-rendered websites with Moli. Use when Codex needs current web content, web research, fact lookup, link following, a bounded crawl, client-rendered or response-gated content, network diagnostics, or a standalone HTML, Markdown, JSON, semantic-tree, viewport or…
dev-browser
Browser automation with persistent named pages via the dev-browser CLI. Use when users ask to navigate websites, fill forms, take screenshots, extract web data, test web apps, log into sites, or automate browser workflows. Trigger phrases include "go to [url]", "click on", "fill out the form", "take a screenshot"…