video-toolbox

video-toolbox is a skill for Claude Code from Belagum/promptcut. It costs 118 tokens per session (4,551 once invoked), scanned A, original, MIT.

A command-line video toolkit for creating or editing videos from instructions. It can combine media, narration, motion effects, annotations, text cards, music and subtitles, then render or export the result.

In plain words
What is it for?
Use it to make videos from an idea or script, or to perform focused edits such as cutting pauses, adding subtitles, changing the format or adding music.
Why use it?
It brings common video-making steps into one set of commands instead of requiring separate tools for each step.

Skill for Claude Code

Written for Claude Code: ${CLAUDE_PLUGIN_ROOT} variable. Also seen: positional $N argument.

Runs only inside its plugin — its command needs a path that Claude Code sets for a plugin’s own hooks and for nothing else. Install the plugin, not this.

Part of the promptcut plugin — 3 skills, 8 commands shipped together

Good fit Use it to make videos from an idea or script, or to perform focused edits such as cutting pauses, adding subtitles, changing the format or adding music.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.

Claude Code
/plugin marketplace add Belagum/promptcut
Claude Code
/plugin install promptcut

Made for: Claude Code.

Or install promptcut, the plugin that ships this one along with the rest of its 3 skills, 8 commands.

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-toolbox

README.md
[![agentmods](https://agentmods.dev/badge/skills/belagum/promptcut/video-toolbox/github.svg)](https://agentmods.dev/skills/belagum/promptcut/video-toolbox)
Your own site
<a href="https://agentmods.dev/skills/belagum/promptcut/video-toolbox"><img src="https://agentmods.dev/badge/skills/belagum/promptcut/video-toolbox/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.

agentmods 80×15 button for video-toolbox

Your own site · 80×15
<a href="https://agentmods.dev/skills/belagum/promptcut/video-toolbox"><img src="https://agentmods.dev/badge/skills/belagum/promptcut/video-toolbox.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 118 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,551 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 $0.00118 $0.04551
Opus 5 $0.00059 $0.02276
Sonnet 5 $0.00024 $0.00910
Haiku 4.5 $0.00012 $0.00455

Measured 9d ago against content hash 9f0aabbf694a, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

video-toolbox 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 9d 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.

plugins/promptcut/skills/video-toolbox/SKILL.md · 268 lines

How it starts

The opening of the file, as written. The whole thing — 268 lines — stays where its author put it; the contents beside it link to each section on GitHub.

PromptCut video toolbox

A CLI toolbox, not a fixed pipeline. The person says what they want; you pick the commands. Every command prints JSON on stdout and progress on stderr.

Run everything as:

python "${CLAUDE_PLUGIN_ROOT}/scripts/promptcut.py" <command> [flags]

Use python on Windows, python3 on macOS/Linux. Add --help to any command. Reply to the person in their own language.

Before the first job in a session

Run doctor. It reports ffmpeg, the OpenRouter key, pycapcut, the CapCut drafts folder, installed editors (nle) and stock keys, plus a problems list. Fix only what the job needs: a talking-head cut needs ffmpeg alone, image generation needs the key. If the problems are missing packages or ffmpeg, run setup - it installs them itself; only keys need the person.

Two modes of work

Single action — "cut 3 seconds", "add subtitles", "make it vertical", "drop the pauses", "put music under it". Call the one command that does it and report the output path. Do not build a plan for this.

Whole video from an idea or a script — write a plan.json storyboard, then build. This is the mode for "make me a video about X", faceless shorts, narrated explainers, ad reads.

Full video: the loop

  1. Turn the idea into shots. One shot = one spoken sentence + one picture. 8-14 words per shot for shorts, up to 25 for long form. Write the vo in the person's language; write image_prompt in English (image models are much better at it) and keep a consistent image.style across shots.
  2. Write plan.json (schema below). plan-new --out plan.json gives a starter.
  3. build --plan plan.json --fake — free dry run with stub images and beeped voice. It proves the timing, subtitle splits and length. Show the person the duration and the shot list, not the stub video, unless they ask.
  4. build --plan plan.json for real. Media is cached by content hash, so re-running after a text edit only pays for what changed.
  5. Report the mp4 path, the duration and spend_usd. Offer the CapCut draft (capcut-from-plan) or an editor project (nle-from-plan --target premiere|resolve|vegas, see the nle-export skill) if they may want to tweak by hand.

Read the full file on GitHub · 268 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. 9d ago First seen · 268 lines · 118 tokens per session scan A 9f0aabbf694a

Subscribe to this mod's changes

video-toolbox is a skill published in the GitHub repository Belagum/promptcut (1 stars, last pushed 13d ago), licensed MIT. It adds 118 tokens to every session and 4,551 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 2026-08-31.

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