ecommerce-product-montage

ecommerce-product-montage is a skill for Claude Code, Codex from 0xsline/OpenChatCut. It costs 82 tokens per session (1,076 once invoked), scanned A, original, AGPL-3.0.

A video-editing guide for turning product footage, customer-created content, and supporting clips into a short sales montage. Its structure moves from a hook and problem to a demonstration, proof, and call to action.

In plain words
What is it for?
Use it for product reels, user-generated-content cutdowns, shopping videos, and other e-commerce montages.
Why use it?
It gives selling footage a clear sequence instead of presenting unrelated clips. This helps make the product, its use, and the requested next step easy to follow.

Skill for Claude CodeCodex

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing.

Good fit Use it for product reels, user-generated-content cutdowns, shopping videos, and other e-commerce montages.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/0xsline/openchatcut/ecommerce-product-montage
About the project

OpenChatCut is an open-source, local-first video editor that combines conversational AI agents with editable projects containing professional multitrack timelines, media, effects, and exports. Creators and developers use it to have agents perform video-editing work while retaining manual control over the project. The catalogue entries provide agent skills and MCP integration for operating the editor.

0xsline/OpenChatCut · 1,718 stars · on GitHub · openchatcut.com

Install

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.

Any agent
npx skills add 0xsline/OpenChatCut --skill ecommerce-product-montage
Clone the repo
git clone --depth 1 https://github.com/0xsline/OpenChatCut

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 ecommerce-product-montage

README.md
[![agentmods](https://agentmods.dev/badge/skills/0xsline/openchatcut/ecommerce-product-montage/github.svg)](https://agentmods.dev/skills/0xsline/openchatcut/ecommerce-product-montage)
Your own site
<a href="https://agentmods.dev/skills/0xsline/openchatcut/ecommerce-product-montage"><img src="https://agentmods.dev/badge/skills/0xsline/openchatcut/ecommerce-product-montage/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 ecommerce-product-montage

Your own site · 80×15
<a href="https://agentmods.dev/skills/0xsline/openchatcut/ecommerce-product-montage"><img src="https://agentmods.dev/badge/skills/0xsline/openchatcut/ecommerce-product-montage.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 82 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,076 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 unknown 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 $0.00082 $0.01076
Opus 5 $0.00041 $0.00538
Sonnet 5 $0.00016 $0.00215
Haiku 4.5 $0.00008 $0.00108

Measured 3d ago against content hash 854318607772, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

ecommerce-product-montage 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 3d 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.

src/agent/skills/ecommerce-product-montage/SKILL.md · 62 lines

The source is not reproduced here

Licensed AGPL-3.0

The repository is licensed AGPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.

Read it on GitHub

Files

What ships with it

3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 3d ago First seen · 62 lines · 82 tokens per session scan A 854318607772

Subscribe to this mod's changes

ecommerce-product-montage is a skill published in the GitHub repository 0xsline/OpenChatCut (1,718 stars, last pushed yesterday), licensed AGPL-3.0. It adds 82 tokens to every session and 1,076 once invoked, about $0.0004 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 2026-09-08.

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