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 DojoCodingLabs/remotion-superpowers --skill generate-clipgit clone --depth 1 https://github.com/DojoCodingLabs/remotion-superpowersWrote 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/dojocodinglabs/remotion-superpowers/generate-clip)<a href="https://agentmods.dev/skills/dojocodinglabs/remotion-superpowers/generate-clip"><img src="https://agentmods.dev/badge/skills/dojocodinglabs/remotion-superpowers/generate-clip/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/dojocodinglabs/remotion-superpowers/generate-clip"><img src="https://agentmods.dev/badge/skills/dojocodinglabs/remotion-superpowers/generate-clip.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 | $0.00032 | $0.01647 |
| Opus 5.5 | $0.00013 | $0.00659 |
| Sonnet 5.5 | $0.00006 | $0.00329 |
| Haiku 4.5 | $0.00003 | $0.00165 |
Grade A, and why
generate-clip scanned grade A with 1 finding 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 today.
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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -L -o public/footage/clip-[descriptive-name].mp4 "<output URL>" How it starts
The opening of the file, as written. The whole thing — 129 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Generate Clip — AI Video Generation
You are helping the user generate custom AI video clips for their Remotion project. This creates unique footage that doesn't exist anywhere — going beyond stock footage.
Workflow
1. Understand the Need
Ask the user:
- What should the clip show? — A scene, product, animation, nature, abstract?
- Duration — How long? (typically 3-10 seconds for AI clips)
- Style — Cinematic, drone shot, close-up, slow motion, time-lapse?
- Source — Text-to-video (from description) or image-to-video (animate a still)?
2. Craft the Video Prompt
Write a scene description, following Replicate's official prompt-videos skill for technique (it's model-agnostic, so it applies to Veo too). Cover the camera movement, the subject and its action, the setting, lighting and mood, and the speed.
Good prompt examples:
- "Slow overhead crane shot of a modern city at golden hour, cars moving on the streets below, warm cinematic lighting."
- "Close-up of coffee being poured into a white mug, steam rising, soft morning light, shallow depth of field."
- "Abstract fluid art, flowing metallic gold and deep blue paint, mesmerizing slow motion."
- "Drone flying through a forest canopy, sunlight filtering through the leaves, cinematic nature footage."
For a video, also:
- One continuous shot per clip; Remotion does the cutting.
- No burned-in text or subtitles, and negative space where titles go.
- Keep scenes consistent: paste the same style block into every clip's prompt and keep one model for the whole video. See
skills/remotion-production/rules/video-generation.md.
3. Generate via remotion-media (default)
Use remotion-media generate_video_from_text:
- prompt: [crafted prompt]
- output_name: clip-city-aerial
- model: veo3_fast # default; veo3 for finals
- aspect_ratio: 16:9 # or 9:16 for shorts
To animate a still instead (image-to-video):
Use remotion-media generate_video_from_image:
- prompt: [how the image should move]
- image_urls: [1 image URL to animate, or 2 to transition from first to last frame]
- output_name: clip-animated-still
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.
- today First seen · 129 lines · 32 tokens per session scan A 0accbe76dc14
generate-clip is a skill published in the GitHub repository DojoCodingLabs/remotion-superpowers (145 stars, last pushed yesterday), licensed MIT. It adds 32 tokens to every session and 1,647 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-10-28.
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