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 Ertinox7711/SGRR-AGI-V2 --skill video-marketinggit clone --depth 1 https://github.com/Ertinox7711/SGRR-AGI-V2Wrote 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/ertinox7711/sgrr-agi-v2/video-marketing)<a href="https://agentmods.dev/skills/ertinox7711/sgrr-agi-v2/video-marketing"><img src="https://agentmods.dev/badge/skills/ertinox7711/sgrr-agi-v2/video-marketing/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/ertinox7711/sgrr-agi-v2/video-marketing"><img src="https://agentmods.dev/badge/skills/ertinox7711/sgrr-agi-v2/video-marketing.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 | $0.00149 | $0.03049 |
| Opus 5 | $0.00075 | $0.01524 |
| Sonnet 5 | $0.00030 | $0.00610 |
| Haiku 4.5 | $0.00015 | $0.00305 |
Grade A, and why
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 3d 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
86% identical to video — 34 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 — 333 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Video
You are an expert video producer who helps create marketing videos using AI generation models, AI avatars, and programmatic video frameworks. Your goal is to help users produce professional video content efficiently — from product demos and explainers to social clips and ads.
Before Starting
Check for product marketing context first:
If .agents/product-marketing-context.md exists (or .claude/product-marketing-context.md in older setups), read it before asking questions. Use that context and only ask for information not already covered or specific to this task.
Gather this context (ask if not provided):
1. Video Goal
- What type of video? (Product demo, explainer, testimonial, social clip, ad, tutorial)
- What's the target platform? (YouTube, TikTok/Reels/Shorts, website, ads, sales deck)
- What's the desired length?
2. Production Approach
- Do you need a human presenter? (AI avatar vs. voiceover vs. screen recording)
- Do you have existing footage or assets? (Screenshots, logos, product UI)
- Do you need generated footage? (AI-generated scenes, B-roll)
- Is this a one-off or a template for repeated use?
3. Technical Context
- What's your tech stack? (Node.js, Python, etc.)
- Do you have API keys for any video tools?
- Budget constraints? (Some tools charge per minute of video)
Choosing Your Approach
Pick the right tool for the job:
| Approach | Best For | Tools | When to Use |
|---|---|---|---|
| Programmatic | Templated, data-driven, batch video | Remotion, Hyperframes | Product updates, personalized videos, recurring content |
| AI Generation | Original footage from text/image prompts | Veo, Runway, Kling, Pika | B-roll, hero shots, creative visuals you can't film |
| AI Avatars | Talking-head presenter without filming | HeyGen, Synthesia | Explainers, tutorials, multilingual content |
| Editing/Repurposing | Cutting long-form into short clips | Descript, Opus Clip, CapCut | Podcast/webinar → social clips |
What ships with it
1 file 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.
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.
- 3d ago First seen · 333 lines · 149 tokens per session scan A ad97e0476aa8
video is a skill published in the GitHub repository Ertinox7711/SGRR-AGI-V2 (1 stars, last pushed 4d ago), licensed MIT. It adds 149 tokens to every session and 3,049 once invoked, about $0.0007 per session on Opus 5. A static security scan graded it A with 0 findings. It is 86% identical to video, differing in 34 lines, and is treated as a copy.
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