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.
git 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/commands/digitalsamba/claude-code-video-toolkit/brand)<a href="https://agentmods.dev/commands/digitalsamba/claude-code-video-toolkit/brand"><img src="https://agentmods.dev/badge/commands/digitalsamba/claude-code-video-toolkit/brand/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/commands/digitalsamba/claude-code-video-toolkit/brand"><img src="https://agentmods.dev/badge/commands/digitalsamba/claude-code-video-toolkit/brand.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00010 | $0.02077 |
| Opus 5.5 | $0.00004 | $0.00831 |
| Sonnet 5.5 | $0.00002 | $0.00415 |
| Haiku 4.5 | $0.00001 | $0.00208 |
Grade A, and why
brand 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 — 346 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Brand
Unified command for brand profiles. Lists existing brands or creates new ones.
Entry Point Logic
On invocation, scan for brands and adapt:
Step 1: Scan Brands
1. Glob brands/*/brand.json
2. For each brand found:
- Read brand.json
- Extract name, primary color, description
- Check if voice.json exists
- Check if logo exists in assets/
3. Sort alphabetically
Step 2: Present Options
Show existing brands with option to create:
Available brands:
1. **default**
Primary: #3B82F6 (blue)
Voice: configured
Logo: ✅
2. **digital-samba**
Primary: #FF6B00 (orange)
Voice: configured
Logo: ✅
→ Use a brand: enter number
→ Create new brand: enter 'new'
→ Edit a brand: enter 'edit N'
If user selects a brand: Show details and offer to edit or confirm for use.
If user selects 'new': Proceed to New Brand Flow.
If user selects 'edit N': Proceed to Edit Brand Flow.
New Brand Flow
Step 1: Gather Brand Information
Brand Basics:
Let's create a new brand profile.
Brand name: (e.g., "Acme Corp", "My Startup")
Description: (one sentence about the brand)
Website URL: (optional, for color extraction)
Step 2: Color Source
Ask how to get colors:
How would you like to set up colors?
1. Extract from website URL
2. Provide a primary color (I'll generate a palette)
3. Enter all colors manually
Option 1 - Extract from URL:
1. WebFetch the website
2. Analyze for:
- CSS custom properties (--primary-color, --accent, etc.)
- Header/nav background colors
- Button colors
- Text color hierarchy
3. Present extracted colors for confirmation
4. Allow adjustments
Option 2 - Generate from primary:
What's your primary brand color? (hex, e.g., #FF6B00)
I'll generate a cohesive palette from this.
Generate:
- Primary: user's color
- Primary Light: lighten 15-20%
- Text Dark: #1e293b
- Text Medium: #475569
- Text Light: #94a3b8
- Bg Light: #ffffff
- Bg Dark: darken primary or #0f172a
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 · 346 lines · 10 tokens per session scan A 2aedf6dc9331
brand is a command published in the GitHub repository digitalsamba/claude-code-video-toolkit (2,360 stars, last pushed yesterday), licensed MIT. It adds 10 tokens to every session and 2,077 once invoked, about $0.0000 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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A setup command for connecting to the ElevenLabs API. ElevenLabs is a service that provides AI-generated voice and speech tools through an API.
call-me
Make an outbound phone call to a number with an autonomous AI agent that pursues a goal and reports back. Usage: /call-me.