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 devinilabs/pro-skill --skill video-to-superpromptgit clone --depth 1 https://github.com/devinilabs/pro-skillWrote 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/devinilabs/pro-skill/video-to-superprompt)<a href="https://agentmods.dev/skills/devinilabs/pro-skill/video-to-superprompt"><img src="https://agentmods.dev/badge/skills/devinilabs/pro-skill/video-to-superprompt/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/devinilabs/pro-skill/video-to-superprompt"><img src="https://agentmods.dev/badge/skills/devinilabs/pro-skill/video-to-superprompt.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 | $0.00090 | $0.01173 |
| Opus 5 | $0.00045 | $0.00587 |
| Sonnet 5 | $0.00018 | $0.00235 |
| Haiku 4.5 | $0.00009 | $0.00117 |
Grade A, and why
video-to-superprompt 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 10d 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 video-to-superprompt — 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 — 73 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Video To Superprompt
Goal
Convert any usable reference video into a builder-ready prompt that captures what the video shows, how it moves, how it should be rebuilt, and what assets or generated media are needed. The default output is one paste-ready prompt unless the user asks for an article, asset pack, or implementation.
Workflow
-
Locate the source video.
- Accept local paths, uploaded files, URLs, browser-visible videos, article assets, or repo media.
- If the video is referenced but inaccessible, ask for the exact file or URL before inventing details.
- If the user wants exact recreation, inspect any source HTML/CSS/JS or local page connected to the video before writing the prompt.
-
Inspect the video technically.
- For local files, run
ffprobefor duration, dimensions, frame rate, codec, and size. - Extract representative frames with
ffmpeg, favoring timeline beats over uniform thumbnails. - Suggested quick pass:
ffprobe -v error -show_entries format=duration,size:stream=width,height,r_frame_rate -of json "$VIDEO" mkdir -p /tmp/video-frames ffmpeg -y -i "$VIDEO" -vf fps=1 /tmp/video-frames/frame-%03d.jpg - For long or scroll-heavy videos, also extract start/middle/end and visible transition moments.
- For local files, run
-
Analyze in layers.
- Story: page/app purpose, emotional arc, section order, transition between beats.
- Screen/layout: viewport framing, grids, sticky zones, cards, media, overlays, margins, navigation, footer.
- Motion: reveal timing, easing, parallax, masks, pinned sections, scroll scrubbing, hover/tap states, looped ambient motion, camera moves.
- Visual design: typography, color palette, surfaces, borders, shadows, texture, iconography, image/video treatment.
- Technical rebuild: CSS/native APIs, IntersectionObserver, Web Animations API, GSAP ScrollTrigger, Lenis, Framer Motion/Motion One, Three.js/WebGL, canvas, video currentTime scrubbing, carousels, or other domain libraries.
- Accessibility/performance: reduced motion, mobile behavior, touch/keyboard states, lazy loading, video preload, pixel-ratio caps, static fallbacks.
What ships with it
7 files 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.
- 10d ago First seen · 73 lines · 90 tokens per session scan A 2b0db0096fb7
video-to-superprompt is a skill published in the GitHub repository devinilabs/pro-skill (24 stars, last pushed 27d ago), licensed MIT. It adds 90 tokens to every session and 1,173 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to video-to-superprompt, differing in 0 lines, and is treated as a copy.
Other skills, from other repositories
seedance-antislop
This skill should be used when a Seedance 2.0 prompt contains generic AI filler, hollow superlatives, vague cinematic language, bloated adjectives, weak verbs, or needs sharper production-specific wording.
seedance-examples-ja
This skill should be used when the user asks for Japanese Seedance 2.0 examples, Japanese prompt patterns, example rewrites, or safe versions of working Japanese video-generation prompts.
seedance-filter
This skill should be used when a Seedance 2.0 prompt is blocked or rejected, when moderation is a suspected cause of a problem, or when the user asks for a content-boundary review or safer alternative. Assess the actual request before offering a clarification.
seedance-prompt-short
This skill should be used when the user asks for a compact Seedance 2.0 prompt, short Chinese prompt, prompt compression, 30-100 word output, or removal of unnecessary prompt language.
seedance-vocab-en
This skill should be used when an English Seedance 2.0 prompt needs clearer production wording, less generic prose, or precise vocabulary for camera, lighting, motion, VFX, audio, and constraints. Route blocked prompts through seedance-filter for context and boundary review.
seedance-vocab-zh
This skill should be used when the user asks for Chinese Seedance 2.0 prompt wording, Mandarin cinematic vocabulary, Chinese prompt compression, or translation of camera, lighting, action, VFX, audio, and production terms into Chinese.