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-imagegit 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-image)<a href="https://agentmods.dev/skills/dojocodinglabs/remotion-superpowers/generate-image"><img src="https://agentmods.dev/badge/skills/dojocodinglabs/remotion-superpowers/generate-image/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-image"><img src="https://agentmods.dev/badge/skills/dojocodinglabs/remotion-superpowers/generate-image.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 | $0.00039 | $0.01467 |
| Opus 5.5 | $0.00016 | $0.00587 |
| Sonnet 5.5 | $0.00008 | $0.00293 |
| Haiku 4.5 | $0.00004 | $0.00147 |
Grade A, and why
generate-image 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 9d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -L -o public/images/img-[descriptive-name].png "<output URL>" How it starts
The opening of the file, as written. The whole thing — 108 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Generate Image — AI Image Creation
You are helping the user generate custom images for their Remotion video project.
Workflow
1. Understand the Need
Ask the user (if not already clear):
- What is the image for? — Scene background, thumbnail, character, product shot, abstract art, diagram?
- Style — Photorealistic, illustration, 3D render, flat design, watercolor, pixel art?
- Dimensions — Landscape (1920x1080), portrait (1080x1920), square (1080x1080)?
- Mood/Colors — Bright, dark, warm, cool, neon, pastel?
2. Craft the Prompt
Write the prompt in full sentences, following Replicate's official prompt-images skill for technique (it's model-agnostic, so it applies to KIE too). Cover, in order: subject, style, lighting, camera angle, color palette, background details.
Good prompt examples:
- "A modern tech startup office seen from above, clean minimalist design with white desks and blue accents, bright natural light from large windows, photorealistic."
- "An abstract geometric pattern of glowing neon purple and blue lines on a dark background, futuristic 3D render."
- "A friendly robot mascot waving, cartoon illustration with pastel colors on a clean white background, suitable for a logo."
- "A downtown skyline silhouetted against a warm orange and pink golden-hour sky, drone aerial shot, cinematic."
For a video, also:
- Leave negative space where Remotion will place titles or captions, and ask for "no text, no watermark"; Remotion renders the text.
- Keep scenes consistent: reuse one style block verbatim across every image in the video, and pass the first good image as a reference. See
skills/remotion-production/rules/image-generation.md.
3. Generate via remotion-media (default)
Use remotion-media generate_image:
- prompt: [crafted prompt]
- output_name: img-hero
- aspect_ratio: 16:9 # always pass it (default is 1:1); 9:16 for shorts
- resolution: 2K # default 1K; use 2K+ for 1080p compositions
- image_urls: [optional reference images, up to 8, public URLs only]
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.
- 9d ago First seen · 108 lines · 39 tokens per session scan A 4b1408da3650
generate-image is a skill published in the GitHub repository DojoCodingLabs/remotion-superpowers (157 stars, last pushed 8d ago), licensed MIT. It adds 39 tokens to every session and 1,467 once invoked, about $0.0002 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.
generate-image compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| generate-imageDojoCodingLabs/remotion-superpowers | Skill | 157 | 8d ago | MIT | A | 39 | Claude Code |
| higgsfield-comic-to-videopixelab-ch/higgsfield-skills | Skill | 12 | 5mo ago | MIT | A | 132 | Claude Code |
| higgsfield-anime-actionpixelab-ch/higgsfield-skills | Skill | 12 | 5mo ago | MIT | A | 160 | Claude Code |
| higgsfield-product-360pixelab-ch/higgsfield-skills | Skill | 12 | 5mo ago | MIT | A | 102 | Claude Code |
| higgsfield-music-videopixelab-ch/higgsfield-skills | Skill | 12 | 5mo ago | MIT | A | 88 | Claude Code |
| higgsfield-ecommerce-adpixelab-ch/higgsfield-skills | Skill | 12 | 5mo ago | MIT | A | 112 | Claude Code |
| higgsfield-brand-storypixelab-ch/higgsfield-skills | Skill | 12 | 5mo ago | MIT | A | 99 | Claude Code |