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 oyi77/1ai-skills --skill video-production-orchestratorgit clone --depth 1 https://github.com/oyi77/1ai-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/oyi77/1ai-skills/video-production-orchestrator)<a href="https://agentmods.dev/skills/oyi77/1ai-skills/video-production-orchestrator"><img src="https://agentmods.dev/badge/skills/oyi77/1ai-skills/video-production-orchestrator/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/oyi77/1ai-skills/video-production-orchestrator"><img src="https://agentmods.dev/badge/skills/oyi77/1ai-skills/video-production-orchestrator.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 | $0.00113 | $0.02026 |
| Opus 5 | $0.00056 | $0.01013 |
| Sonnet 5 | $0.00023 | $0.00405 |
| Haiku 4.5 | $0.00011 | $0.00203 |
Grade A, and why
video-production-orchestrator 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 2d 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.
How it starts
The opening of the file, as written. The whole thing — 236 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Overview
This skill orchestrates the video production pipeline across HyperFrames templates, from intake brief to rendered MP4. Use it when multiple video assets must be produced in a batch or on a schedule. It sequences briefing, composition, render, and QA so the line never stalls.
Video Production Orchestrator
The single entry point for ALL video generation and editing needs. Analyzes intent and routes to the right workflow.
When to Use
- User says "make a video", "create video", "generate video"
- User says "edit video", "clip video", "trim video"
- User says "add captions", "add subtitles", "burn subtitles"
- User says "product video", "launch video", "promo video"
- User says "explainer", "tutorial", "how-to video"
- User says "motion graphics", "kinetic type", "logo sting"
- User says "changelog video", "weekly digest video"
- User says "presentation", "slides", "deck"
- User says "clip highlights", "shorts", "reels"
- Any video production request where the tool/workflow is unspecified
When NOT to Use
- User explicitly names a specific skill (e.g., "use hyperframes-product-launch-video")
- User wants image generation (use image-generation skills)
- User wants audio-only (use TTS/music skills)
- User wants to edit an existing video file directly (use ffmpeg or video editing tools)
Workflow
1 · Analyze intent
Parse the user's request for signals:
- Source material (URL, text, existing footage, none)
- Purpose (marketing, education, social, presentation)
- Explicit tool mentions (HyperFrames, Remotion, FFmpeg)
2 · Route to workflow
Match signals to the correct skill using the Intent Router table below.
3 · Explain the route
Tell the user which workflow was chosen and why (one sentence).
4 · Hand off
Read the target skill and follow its workflow.
Intent Router
1. Product / Launch / Promo Video
Signals: product URL, "launch", "promo", "marketing", "showcase", "site tour"
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.
- 2d ago First seen · 236 lines · 113 tokens per session scan A f1acfc0caefb
video-production-orchestrator is a skill published in the GitHub repository oyi77/1ai-skills (12 stars, last pushed today), licensed MIT. It adds 113 tokens to every session and 2,026 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 2026-09-10.
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