video_toolkit

video_toolkit is a skill for Claude Code, Codex from digitalsamba/claude-code-video-toolkit. It costs 34 tokens per session (6,528 once invoked), scanned C, original, MIT.

A toolkit workflow for creating rendered explainer videos from a text brief, including voiceovers, generated images, music, talking heads, and React-based composition.

In plain words
What is it for?
Use it to create videos with AI narration, visuals, music, animated talking heads, and Remotion rendering. The toolkit must be run from its specified workspace path.
Why use it?
It brings the media-generation and rendering steps into one documented process instead of requiring separate manual tools.

Skill for Claude CodeCodex

Which agent this was written for is unclear — built for openclaw. Also seen: positional $N argument; built for openclaw.

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is uv run tools/music_gen.py --preset corporate-bg --duration 60 --output bg.mp3 --progress json.

Good fit Use it to create videos with AI narration, visuals, music, animated talking heads, and Remotion rendering. The toolkit must be run from its specified workspace path.

Compare 6 skills from other repositories ↓
About the project

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.

digitalsamba/claude-code-video-toolkit · 2,053 stars · on GitHub

Install

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.

Clone the repo
git clone --depth 1 https://github.com/digitalsamba/claude-code-video-toolkit
agentmods
npx agentmods add skills/digitalsamba/claude-code-video-toolkit/openclaw-video-toolkit

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for video_toolkit

README.md
[![agentmods](https://agentmods.dev/badge/skills/digitalsamba/claude-code-video-toolkit/openclaw-video-toolkit.svg)](https://agentmods.dev/skills/digitalsamba/claude-code-video-toolkit/openclaw-video-toolkit)
Your own site
<a href="https://agentmods.dev/skills/digitalsamba/claude-code-video-toolkit/openclaw-video-toolkit"><img src="https://agentmods.dev/badge/skills/digitalsamba/claude-code-video-toolkit/openclaw-video-toolkit.svg" alt="Measured on agentmods" height="20"></a>
Per session 34 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 6,528 The whole file, excluding the scripts and references it only reads on demand.
Security scan C 2 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 6 findings, up to high

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • high Privilege Escalation · line 91
    Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.
    Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
  • medium Rogue Agent · line 3
    Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.
    Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
  • medium Rogue Agent · line 109
    Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.
    Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
  • medium MCP Rug Pull · line 506
    npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.
    Fix: Pin the version: npx @scope/[email protected]
  • medium MCP Rug Pull · line 507
    npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.
    Fix: Pin the version: npx @scope/[email protected]
  • low Supply Chain · line 84
    Remote code is downloaded and executed. This bypasses code review and could introduce malicious code.
    Fix: Avoid downloading and executing remote scripts. Use trusted packages from PyPI/npm. If remote fetch is required, verify checksums and use HTTPS.
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00034 $0.06528
Opus 5 $0.00017 $0.03264
Sonnet 5 $0.00007 $0.01306
Haiku 4.5 $0.00003 $0.00653

Measured 8d ago against content hash 645cb0620cb5, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade C, and why

video_toolkit scanned grade C with 2 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 8d 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.

Downloads and executes remote codehighSupply chain

curl | sh runs whatever the server returns today, which is not necessarily what it returned when this was reviewed.

Note: `uv sync` creates its own `.venv/` from the lockfile, so it sidesteps Debian/Ubuntu's managed-Python restrictions (PEP 668) — no `--break-system-packages` needed. If `uv` is missing, install it first: `curl -LsSf h

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

Note: `uv sync` creates its own `.venv/` from the lockfile, so it sidesteps Debian/Ubuntu's managed-Python restrictions (PEP 668) — no `--break-system-packages` needed. If `uv` is missing, install it first: `curl -LsSf h
skills/openclaw-video-toolkit/SKILL.md · 642 lines

How it starts

The opening of the file, as written. The whole thing — 642 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Video Toolkit

Create professional explainer videos from a text brief. The toolkit uses open-source AI models on cloud GPUs (Modal or RunPod) for voiceover, image generation, music, and talking head animation. Remotion (React) handles composition and rendering.

CRITICAL: Toolkit Path

The toolkit lives at a fixed path. ALWAYS cd here before running any tool command.

TOOLKIT=~/.openclaw/workspace/claude-code-video-toolkit
cd $TOOLKIT

NEVER run tool commands from inside a project directory. Tools resolve paths relative to the toolkit root.

CRITICAL: Progress Reporting

ALWAYS add --progress json to every cloud GPU tool command. This gives you structured JSON Lines on stderr so you can monitor job status, detect stuck jobs, and report progress to the user in real-time.

# CORRECT — always include --progress json
uv run tools/music_gen.py --preset corporate-bg --duration 60 --output bg.mp3 --progress json

# WRONG — no visibility into job status
uv run tools/music_gen.py --preset corporate-bg --duration 60 --output bg.mp3

Tools that support --progress json: music_gen.py, qwen3_tts.py, flux2.py, upscale.py, sadtalker.py, image_edit.py, dewatermark.py, ltx2.py, chain_video.py.

See the Progress Reporting section below for output format and stage definitions.

CRITICAL: Long-Running Tasks — Use yieldMs, Not background:true

Any tool command that takes more than 30 seconds MUST use exec with yieldMs so you can report progress to the user live. This includes: batch FLUX generation, chain_video, SadTalker, music generation, and any multi-scene pipeline.

exec command:"cd ~/.openclaw/workspace/claude-code-video-toolkit && uv run tools/chain_video.py --output-dir /path/ --progress json ..." yieldMs:10000

The polling loop:

  1. exec with yieldMs:10000 starts the command and returns control to you every 10 seconds
  2. Read the --progress json output — look for "stage":"item" (scene complete) or "stage":"complete" (all done)
  3. Report progress to the user ("Scene 05/30 complete, 17%")
  4. Poll again: process action:poll sessionId:<id>
  5. Repeat until "stage":"complete"

Read the full file on GitHub · 642 lines

Changes

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.

  1. 8d ago First seen · 642 lines · 34 tokens per session scan C 645cb0620cb5

Subscribe to this mod's changes

video_toolkit is a skill published in the GitHub repository digitalsamba/claude-code-video-toolkit (2,053 stars, last pushed 7d ago), licensed MIT. It adds 34 tokens to every session and 6,528 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it C with 2 findings (downloads and executes remote code, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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