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 Mintii-Labs/ozor-skills --skill ozor-landing-page-to-videogit clone --depth 1 https://github.com/Mintii-Labs/ozor-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/mintii-labs/ozor-skills/ozor-landing-page-to-video)<a href="https://agentmods.dev/skills/mintii-labs/ozor-skills/ozor-landing-page-to-video"><img src="https://agentmods.dev/badge/skills/mintii-labs/ozor-skills/ozor-landing-page-to-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/mintii-labs/ozor-skills/ozor-landing-page-to-video"><img src="https://agentmods.dev/badge/skills/mintii-labs/ozor-skills/ozor-landing-page-to-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 | $0.00120 | $0.02899 |
| Opus 5 | $0.00060 | $0.01450 |
| Sonnet 5 | $0.00024 | $0.00580 |
| Haiku 4.5 | $0.00012 | $0.00290 |
Grade A, and why
ozor-landing-page-to-video 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 12d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- ozor-landing-page-to-video — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 239 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Ozor Landing Page-to-Video Converter
Transform any landing page, website, or URL into a structured, ready-to-paste Ozor.ai video prompt. This skill extracts the messaging, value props, and brand identity from web content and produces a video prompt that captures the page's essence in motion.
Supported Input Types
- URLs — any publicly accessible web page
- Landing page copy — pasted text from a marketing page
- Homepage content — full homepage text and structure
- Product pages — feature-focused pages
- Pricing pages — plan comparison content
- About pages — company story and mission
- App store listings — iOS/Android app descriptions
Workflow
Phase 1 — Analyze the Page
Read or fetch the page content and extract:
-
Page type — what kind of page is this?
- Hero-driven landing page (single product/feature focus)
- Multi-section homepage (full product overview)
- Product/feature page (deep dive on one capability)
- Pricing page (plan comparison)
- About/company page (story and mission)
-
Core message — the headline or hero text. This becomes the video hook.
-
Value propositions — extract the 3–5 key benefits or selling points. These become the middle scenes.
-
Social proof — look for:
- Customer logos or counts ("Trusted by 10,000+ teams")
- Testimonials or quotes
- Metrics ("99.9% uptime", "2x faster")
- Awards, press mentions, certifications
-
CTA — what does the page want visitors to do? ("Start free trial", "Book a demo", "Download now")
-
Brand signals — extract from the page:
- Product/company name
- Primary colors (from CSS, buttons, or visual inspection)
- Tone of voice (professional, playful, technical, warm)
- Logo presence
-
Visual assets — note any product screenshots, illustrations, or imagery that could be referenced.
Phase 2 — Choose the Video Format
Based on the page type and likely distribution channel:
| Page Type | Primary Video | Secondary Video |
|---|---|---|
| Landing page | 30–45s product launch, 8–12 scenes (16:9) | 15s social teaser, 5 scenes (9:16) |
| Homepage | 45–60s brand overview, 12–15 scenes (16:9) | 30s product highlight, 8–10 scenes (9:16) |
| Product page | 30–45s feature explainer, 8–12 scenes (16:9) | 15s feature teaser, 5 scenes (9:16) |
| Pricing page | 30s plan comparison, 8–10 scenes (16:9) | — |
| About page | 45–60s brand story, 12–15 scenes (16:9) | — |
| App listing | 15–30s app preview, 5–10 scenes (9:16) | 30s full demo, 8–10 scenes (16:9) |
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.
- 12d ago First seen · 239 lines · 120 tokens per session scan A c5705487a2ea
ozor-landing-page-to-video is a skill published in the GitHub repository Mintii-Labs/ozor-skills (6 stars, last pushed 3mo ago), licensed MIT. It adds 120 tokens to every session and 2,899 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.
Other skills, from other repositories
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ozor-social-batch
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