product-video

product-video is a skill for Claude Code, Codex from pexoai/pexo-skills. It costs 101 tokens per session (1,410 once invoked), scanned A, a copy of ai-video-generation, MIT.

A tool that turns product photos or a store web page into a finished product video through Pexo's hosted video service. It arranges the shots, adds movement and music, and assembles the clip.

In plain words
What is it for?
Use it to create product-listing videos, advertisements, and social-media clips for an online shop.
Why use it?
It removes the need to animate product images and edit separate shots into a video.

Skill for Claude CodeCodex

Which agent this was written for is unclear — built for openclaw. Also seen: built for openclaw.

Good fit Use it to create product-listing videos, advertisements, and social-media clips for an online shop.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/pexoai/pexo-skills/product-video
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 pexoai/pexo-skills --skill product-video
Clone the repo
git clone --depth 1 https://github.com/pexoai/pexo-skills

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 product-video

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/pexoai/pexo-skills/product-video"><img src="https://agentmods.dev/badge/skills/pexoai/pexo-skills/product-video.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 101 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,410 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe.
Origin 84% copy Near-identical to another mod 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 $0.00101 $0.01410
Opus 5 $0.00051 $0.00705
Sonnet 5 $0.00020 $0.00282
Haiku 4.5 $0.00010 $0.00141

Measured 11d ago against content hash 5252e2fc5bbb, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

product-video scanned grade A with 1 finding 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 11d ago.

The scan reads SKILL.md. This mod also ships 9 executable files (scripts/_common.sh, scripts/pexo-asset-get.sh, scripts/pexo-chat.sh, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

Makes network callslowCapability

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

runtime: [curl, jq, file]
Origin

This is a copy

84% identical to ai-video-generation — 26 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

skills/product-video/SKILL.md · 108 lines

How it starts

The opening of the file, as written. The whole thing — 108 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Product Video — Pexo

Pexo: https://pexo.ai — get an API key, watch your project render, and buy credits there.

Turn a product's photos into a polished, publish-ready video. You upload the user's product images and relay the request to the hosted Pexo agent, then deliver the result — Pexo composes the shots, motion, and music.

Your role: relay, don't create

Create a project, send the user's request verbatim, poll, deliver. Pexo's backend handles all creative work — scriptwriting, model choice, prompts, music. Adding your own direction (duration, style, models the user didn't ask for) overrides its judgment and produces worse videos.

Config

~/.pexo/config:

PEXO_BASE_URL="https://pexo.ai"
PEXO_API_KEY="sk-<your-api-key>"

No account / first run → read references/SETUP-CHECKLIST.md and walk the user through it — it carries the signup flow with the invite code that grants new users bonus credits, plus how to create the config above. Config error → run scripts/pexo-doctor.sh and follow its output.

Workflow

Scripts live in this skill's scripts/. Reply to the user in their language.

  1. Create a project: pexo-project-create.sh "<short brief>" → save the project_id.
  2. Upload any files the user gave: pexo-upload.sh <project_id> <path> → save asset_id, reference it inline as <original-image>asset_id</original-image> (or <original-video> / <original-audio>). Tags are required — a bare asset_id is ignored. Pexo can't crawl URLs — download, then upload.
  3. Send the request: pexo-chat.sh <project_id> "<user's exact words> <asset tags>". Copy the user's words exactly; only add asset tags.
  4. Tell the user (their language): submitted ✓ · ~15–20 min · https://pexo.ai/project/<project_id>.
  5. Poll: every ≥60s run pexo-project-get.sh <project_id> and act on nextAction:
    • WAIT → keep polling; every ~5 polls send a one-line update with the project link.
    • RESPOND → handle each event in recentMessages: relay Pexo's text (wait for the user's answer if it asked, then pexo-chat.sh their reply); for preview_video, run pexo-asset-get.sh <project_id> <assetId> per option, show the URLs (A/B/C), let the user pick, then pexo-chat.sh <project_id> "<choice>" --choice <assetId>; for a document event, mention it to the user.
    • DELIVERpexo-asset-get.sh <project_id> <final assetId>, then send the user the full asset URL as plain text — all ?… query params, never truncated or wrapped in markdown — plus the project link.
    • FAILED → explain nextActionHint in plain terms and offer to retry.
    • RECONNECTpexo-chat.sh <project_id> "continue", tell the user the connection dropped and you're resuming, then keep polling.
    • Never call pexo-chat.sh during WAIT — it triggers duplicate production.
    • Taking too long → if it's been >30 min and still WAIT, tell the user (with the project link + https://pexo.ai/connect/openclaw) it's running long; ask whether to keep waiting or stop. Don't poll forever.

Read the full file on GitHub · 108 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. 11d ago First seen · 108 lines · 101 tokens per session scan A 5252e2fc5bbb

Subscribe to this mod's changes

product-video is a skill published in the GitHub repository pexoai/pexo-skills (777 stars, last pushed 22d ago), licensed MIT. It adds 101 tokens to every session and 1,410 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). It is 84% identical to ai-video-generation, differing in 26 lines, and is treated as a copy.

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