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 renalpelvisdeinocheirus70/ozor-skills --skill ozor-video-best-practicesgit clone --depth 1 https://github.com/renalpelvisdeinocheirus70/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/renalpelvisdeinocheirus70/ozor-skills/ozor-video-best-practices)<a href="https://agentmods.dev/skills/renalpelvisdeinocheirus70/ozor-skills/ozor-video-best-practices"><img src="https://agentmods.dev/badge/skills/renalpelvisdeinocheirus70/ozor-skills/ozor-video-best-practices/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/renalpelvisdeinocheirus70/ozor-skills/ozor-video-best-practices"><img src="https://agentmods.dev/badge/skills/renalpelvisdeinocheirus70/ozor-skills/ozor-video-best-practices.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 | $0.00167 | $0.03276 |
| Opus 5 | $0.00084 | $0.01638 |
| Sonnet 5 | $0.00033 | $0.00655 |
| Haiku 4.5 | $0.00017 | $0.00328 |
Grade A, and why
ozor-video-best-practices 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.
This is a copy
100% identical to ozor-video-best-practices — 0 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 — 294 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Ozor Video Best Practices
A comprehensive guide to creating outstanding AI-generated videos with Ozor.ai. This skill encodes the principles, patterns, and prompt formulas that consistently produce professional results — so you spend fewer credits and get better output on the first try.
What Ozor Is
Ozor is an AI video agent that turns text prompts (or uploaded documents) into fully produced, animated videos. It renders each scene as an animated React component at 30 FPS, supports real-time preview, and exports to MP4 at 720p, 1080p, or 4K. It's designed for product launches, marketing, and explainers — not talking-head or long-form content.
Key capabilities:
- Text-to-video from a single prompt
- Document-to-video from PDFs, PowerPoints, images, Google Docs, and URLs
- Brand Kit extraction from your website (logo, colors, fonts)
- Scene-by-scene editing and regeneration
- Templates for common use cases
- Landscape (16:9) and portrait (9:16) formats
The Prompt Quality Principle
The single biggest factor in Ozor output quality is the prompt. A vague prompt forces the AI to guess — and its guesses will be generic. A specific prompt gives it constraints to work within, which is where creativity happens.
Every effective Ozor prompt answers five questions:
- What — the topic, product, or message
- Who — the target audience
- How long — duration or scene count
- What it looks like — visual style, colors, mood
- What it should do — the goal (launch, explain, sell, update)
Prompt Formulas
These are copy-and-customize templates. Replace [brackets] with specifics.
Product Launch
Create a 45-second product launch video for [product name].
12 scenes:
(1) Hook — bold one-line problem statement
(2) Problem setup — show the pain point visually
(3) Solution reveal — introduce [product name] as the answer
(4) Product in action — show the main UI or experience
(5) Feature 1 — [key feature with one-line benefit]
(6) Feature 2 — [key feature with one-line benefit]
(7) Feature 3 — [key feature with one-line benefit]
(8) How it works — quick 3-step flow
(9) Social proof — "[customer quote]" or key metric
(10) Pricing/offer — "[pricing or launch offer]"
(11) CTA — "[your call to action]"
(12) Logo close — logo + tagline + URL
Style: [minimal / bold / dark / light]. Brand colors: [colors]. Target audience: [who].
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 · 294 lines · 167 tokens per session scan A 37b50fcebcda
ozor-video-best-practices is a skill published in the GitHub repository renalpelvisdeinocheirus70/ozor-skills (2 stars, last pushed 2d ago), licensed MIT. It adds 167 tokens to every session and 3,276 once invoked, about $0.0008 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to ozor-video-best-practices, differing in 0 lines, and is treated as a copy.
Other skills, from other repositories
ozor-prompt-optimizer
Analyze and improve existing Ozor.ai video prompts for better output quality. Use this skill whenever the user has an Ozor prompt that produced mediocre results, wants to improve a video prompt, needs help debugging why a video didn't turn out well, or wants expert feedback on their prompt before running it. Trigger…
ozor-video-best-practices
Expert guide for crafting high-quality video prompts for Ozor.ai, the AI video generation platform. Use this skill whenever the user mentions Ozor, wants to create a launch video, product demo, feature announcement, explainer video, social ad, release notes video, investor update, tutorial, or any marketing video.…
ozor-doc-to-video
Convert any document into a production-ready Ozor.ai video prompt. Use this skill whenever the user uploads a document (PDF, PowerPoint, Google Doc, Markdown, text file, or URL) and wants to turn it into a video. Also trigger when the user mentions 'turn this doc into a video', 'make a video from this PDF', 'video…
ozor-landing-page-to-video
Convert any landing page or website into an Ozor.ai video prompt. Use this skill whenever the user provides a URL, landing page content, or website copy and wants to turn it into a video. Trigger on phrases like 'make a video from my website', 'video from this landing page', 'turn my homepage into a video', 'video…
ozor-changelog-to-video
Convert changelogs, release notes, and version updates into Ozor.ai video prompts. Use this skill whenever the user has a CHANGELOG.md, release notes, GitHub release, version bump summary, or any list of product changes and wants to turn them into a video. Trigger on phrases like 'video from my changelog', 'release…
ozor-document-video
Turn a real document (PDF, PPTX, DOCX, Keynote export, slide deck, proposal, whitepaper, report) into a finished AI-generated video using the Ozor MCP. Use this skill whenever the user attaches, uploads, references, or points to a document file and wants a video from it — e.g. 'make a video from this pitch deck'…