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 frankxai/awesome-motion-design-agent-skills --skill generative-media-directorgit clone --depth 1 https://github.com/frankxai/awesome-motion-design-agent-skillsWrote 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/frankxai/awesome-motion-design-agent-skills/generative-media-director)<a href="https://agentmods.dev/skills/frankxai/awesome-motion-design-agent-skills/generative-media-director"><img src="https://agentmods.dev/badge/skills/frankxai/awesome-motion-design-agent-skills/generative-media-director/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/frankxai/awesome-motion-design-agent-skills/generative-media-director"><img src="https://agentmods.dev/badge/skills/frankxai/awesome-motion-design-agent-skills/generative-media-director.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 | $0.00105 | $0.00625 |
| Opus 5 | $0.00053 | $0.00313 |
| Sonnet 5 | $0.00021 | $0.00125 |
| Haiku 4.5 | $0.00011 | $0.00063 |
Grade A, and why
generative-media-director 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 11d 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.
How it starts
The opening of the file, as written. The whole thing — 117 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Generative Media Director
Workflow
-
Define the job:
- audience
- surface
- output format
- desired viewer action
- brand role
-
Decide the source of truth:
- product UI: code and browser capture
- static visual direction: imagegen/GPT Image
- cinematic generated clip: Sora, Grok, Veo, Luma, Runway, or Higgsfield
- exact typography/layout/video package: Remotion
- export/compression: ffmpeg
-
Write the still-frame prompt before the video prompt.
-
Generate or select style frames.
-
Write the video prompt:
- source frame
- camera
- subject motion
- environmental motion
- audio
- beginning/middle/end
- constraints
-
Route providers:
- Sora for OpenAI-first cinematic video and image-to-video.
- Veo for high-fidelity controlled video, native audio, first/last-frame workflows.
- Grok Imagine for fast social/audio-synced clips and stylized tests.
- Luma for cinematic exploration and creative-agent workflows.
- Runway for production editing and existing-video transformation.
- Higgsfield for creator/social/ad variants.
- Remotion for final deterministic finishing.
-
Finish:
- captions
- title cards
- logo lockups
- CTA
- aspect-ratio variants
- GIF/MP4/WebM exports
-
QA:
- first frame works as still
- crop works on target channels
- text is readable
- loop resolves cleanly
- audio is intentional
- file size is acceptable
- provenance is complete
Image Prompt Shape
Use case:
Asset type:
Primary request:
Input images:
Scene/backdrop:
Subject:
Style/medium:
Composition/framing:
Lighting/mood:
Color palette:
Materials/textures:
Text (verbatim):
Constraints:
Avoid:
Video Prompt Shape
Output:
Aspect ratio:
Duration:
Provider candidates:
Source frame:
Subject:
Setting:
Camera:
Subject motion:
Environmental motion:
Audio:
Beginning:
Middle:
End:
Style:
Constraints:
Avoid:
Output Shape
Return:
- creative diagnosis
- recommended workflow
- provider routing
- still-frame prompt
- video prompt
- finishing plan
- QA checklist
- provenance template
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.
- 11d ago First seen · 117 lines · 105 tokens per session scan A 16759ed5af41
generative-media-director is a skill published in the GitHub repository frankxai/awesome-motion-design-agent-skills (1 stars, last pushed 4d ago), licensed CC0-1.0. It adds 105 tokens to every session and 625 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-01.
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