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 course-promo-videogit 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/course-promo-video)<a href="https://agentmods.dev/skills/ertinox7711/sgrr-agi-v2/course-promo-video"><img src="https://agentmods.dev/badge/skills/ertinox7711/sgrr-agi-v2/course-promo-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/ertinox7711/sgrr-agi-v2/course-promo-video"><img src="https://agentmods.dev/badge/skills/ertinox7711/sgrr-agi-v2/course-promo-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 | $0.00079 | $0.05302 |
| Opus 5.5 | $0.00032 | $0.02121 |
| Sonnet 5.5 | $0.00016 | $0.01060 |
| Haiku 4.5 | $0.00008 | $0.00530 |
Grade A, and why
seedance-course-promo 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 1mo 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 seedance-course-promo — 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 — 456 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Course Promo — Educational Product Video Prompts
Seedance 2.0 Input Specifications
Seedance 2.0 accepts multi-modal inputs and produces short-form cinematic video output. Before writing any prompt, confirm the assets available:
Image inputs — up to 9 images
- Reference the first image as
@material[image1], second as@material[image2], and so on - Use for: instructor headshots, course mockups, student result screenshots, before/after photos, slide previews, community screenshots, device mockups showing the course platform
Video inputs — up to 3 short video clips
- Reference as
@material[video1],@material[video2],@material[video3] - Use for: existing testimonial clips, talking-head snippets, screen recordings of the course interface, b-roll of the instructor in action
Audio inputs — up to 3 audio files
- Reference as
@material[audio1],@material[audio2],@material[audio3] - Use for: background music track, voiceover narration, sound effects layer
Output specs
- Duration: 4–15 seconds per generation
- Resolution: 720p
- Aspect ratios: 9:16 (Reels/TikTok/Shorts), 16:9 (YouTube/Webinar landing), 1:1 (Feed)
- Chaining multiple generations creates a full 30–90 second promo sequence
Prompt length sweet spot: 120–250 words per generation. Too short = generic output. Too long = model ignores later instructions.
Asset Checklist Before Writing Any Prompt
Before generating a prompt, answer these questions:
- What is the course/program name and price point?
- What is the primary platform (Instagram, YouTube, Facebook, email)?
- What is the video duration target?
- What assets are available? (List all images, videos, audio files with their @material tags)
- Who is the target student? (One sentence description of their current painful state)
- What is the single transformation promise? (One sentence: "Go from X to Y in Z time")
- What is the CTA action? (Register, buy, apply, watch, join — pick one)
- Is there a deadline or urgency element? (Enrollment closing, live event date, bonus expiring)
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.
- 1mo ago First seen · 456 lines · 79 tokens per session scan A b770dea79ceb
seedance-course-promo is a skill published in the GitHub repository Ertinox7711/SGRR-AGI-V2 (1 stars, last pushed 1mo ago), licensed MIT. It adds 79 tokens to every session and 5,302 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to seedance-course-promo, differing in 0 lines, and is treated as a copy.
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