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-doc-to-videogit 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-doc-to-video)<a href="https://agentmods.dev/skills/renalpelvisdeinocheirus70/ozor-skills/ozor-doc-to-video"><img src="https://agentmods.dev/badge/skills/renalpelvisdeinocheirus70/ozor-skills/ozor-doc-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/renalpelvisdeinocheirus70/ozor-skills/ozor-doc-to-video"><img src="https://agentmods.dev/badge/skills/renalpelvisdeinocheirus70/ozor-skills/ozor-doc-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 | $0.00165 | $0.02782 |
| Opus 5 | $0.00082 | $0.01391 |
| Sonnet 5 | $0.00033 | $0.00556 |
| Haiku 4.5 | $0.00016 | $0.00278 |
Grade A, and why
ozor-doc-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.
This is a copy
100% identical to ozor-doc-to-video — 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 — 247 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Ozor Doc-to-Video Converter
Transform any document into a structured, ready-to-paste Ozor.ai video prompt. This skill bridges the gap between written content and video by doing the hard work: extracting the core message, choosing the right video structure, writing scene-by-scene direction, and producing a prompt that Ozor can execute in one shot.
Supported Input Types
This skill works with any text-based content:
- PDFs — policies, reports, whitepapers, one-pagers
- PowerPoints / slide decks — pitch decks, sales decks, training presentations
- Blog posts / articles — markdown files, text files, or URLs
- READMEs — project documentation, product overviews
- Release notes / changelogs — feature announcements, version updates
- Onboarding docs — SOPs, handbooks, process guides
- Landing pages — via URL fetch
If the file is uploaded, read it from the uploads directory. If it's a URL, fetch the content. If the content is already in the conversation, use it directly.
Workflow
Follow these three phases for every document.
Phase 1 — Analyze the Document
Read the full document and identify:
- Document type — what kind of content is this? (pitch deck, blog, SOP, changelog, report, etc.)
- Core message — what's the single most important takeaway? Compress to one sentence.
- Target audience — who would watch a video of this? (developers, executives, customers, employees, general public)
- Natural video type — based on the document, what kind of Ozor video fits best?
| Document Type | Best Video Type | Recommended Scenes | Format |
|---|---|---|---|
| Pitch deck | Product launch / explainer | 4–6 | 16:9 |
| Blog post | Explainer or social clip | 3–5 (explainer) or 2–3 (social) | 16:9 or 9:16 |
| README | Product demo / explainer | 4–5 | 16:9 |
| Release notes | Feature announcement | 1 per feature + intro/outro | 16:9 |
| Changelog | Release notes video | 1 per feature | 16:9 |
| SOP / handbook | Training / onboarding video | 5–7 | 16:9 |
| Sales one-pager | Product launch / social ad | 3–4 | 16:9 or 9:16 |
| Landing page | Social clip or launch video | 3–4 | 9:16 for social, 16:9 for web |
| Report / whitepaper | Explainer | 5–7 | 16:9 |
| Investor update | Investor update video | 5–6 | 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 · 247 lines · 165 tokens per session scan A 3aa7001392ed
ozor-doc-to-video is a skill published in the GitHub repository renalpelvisdeinocheirus70/ozor-skills (2 stars, last pushed 2d ago), licensed MIT. It adds 165 tokens to every session and 2,782 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-doc-to-video, differing in 0 lines, and is treated as a copy.
Other skills, from other repositories
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