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.
npx skills add pexoai/pexo-skills --skill product-videogit clone --depth 1 https://github.com/pexoai/pexo-skillsWrote 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/skills/pexoai/pexo-skills/product-video)<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.
<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>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 | $0.00101 | $0.01410 |
| Opus 5 | $0.00051 | $0.00705 |
| Sonnet 5 | $0.00020 | $0.00282 |
| Haiku 4.5 | $0.00010 | $0.00141 |
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.
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] 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.
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.
- Create a project:
pexo-project-create.sh "<short brief>"→ save theproject_id. - Upload any files the user gave:
pexo-upload.sh <project_id> <path>→ saveasset_id, reference it inline as<original-image>asset_id</original-image>(or<original-video>/<original-audio>). Tags are required — a bareasset_idis ignored. Pexo can't crawl URLs — download, then upload. - Send the request:
pexo-chat.sh <project_id> "<user's exact words> <asset tags>". Copy the user's words exactly; only add asset tags. - Tell the user (their language): submitted ✓ · ~15–20 min ·
https://pexo.ai/project/<project_id>. - Poll: every ≥60s run
pexo-project-get.sh <project_id>and act onnextAction:- 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, thenpexo-chat.shtheir reply); forpreview_video, runpexo-asset-get.sh <project_id> <assetId>per option, show the URLs (A/B/C), let the user pick, thenpexo-chat.sh <project_id> "<choice>" --choice <assetId>; for adocumentevent, mention it to the user. - DELIVER →
pexo-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
nextActionHintin plain terms and offer to retry. - RECONNECT →
pexo-chat.sh <project_id> "continue", tell the user the connection dropped and you're resuming, then keep polling. - Never call
pexo-chat.shduring 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.
What ships with it
12 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.
- README.md 1.1 KB
- references/SETUP-CHECKLIST.md 2.4 KB
- references/TROUBLESHOOTING.md 12 KB
- scripts/_common.sh 11 KB runs code
- scripts/pexo-asset-get.sh 2.3 KB runs code
- scripts/pexo-chat.sh 4.5 KB runs code
- scripts/pexo-doctor.sh 5.4 KB runs code
- scripts/pexo-entitlements.sh 1.6 KB runs code
- scripts/pexo-project-create.sh 1.8 KB runs code
- scripts/pexo-project-get.sh 6.9 KB runs code
- scripts/pexo-project-list.sh 1.6 KB runs code
- scripts/pexo-upload.sh 3.1 KB runs code
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.
- 11d ago First seen · 108 lines · 101 tokens per session scan A 5252e2fc5bbb
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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