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 BetterPromptme/skills --skill universal-motion-promptgit clone --depth 1 https://github.com/BetterPromptme/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/betterpromptme/skills/universal-motion-prompt)<a href="https://agentmods.dev/skills/betterpromptme/skills/universal-motion-prompt"><img src="https://agentmods.dev/badge/skills/betterpromptme/skills/universal-motion-prompt/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/betterpromptme/skills/universal-motion-prompt"><img src="https://agentmods.dev/badge/skills/betterpromptme/skills/universal-motion-prompt.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 | $0.01150 |
| Opus 5 | $0.00045 | $0.00575 |
| Sonnet 5 | $0.00018 | $0.00230 |
| Haiku 4.5 | $0.00009 | $0.00115 |
Grade A, and why
universal-motion-prompt 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 — 106 lines — stays where its author put it; the contents beside it link to each section on GitHub.
What it does
This prompt instructs the model to take a provided still image and enhance it with realistic, cinematic motion cues—such as subtle motion blur, wind-driven movement, light shifts, or gentle camera-like panning—while preserving the original composition, lighting, atmosphere, and mood. The outcome is an image that feels like a mid-action frame, energized and alive, without warping or altering the core subject or scene tone.
For more installation instructions go to https://skills.sh/betterpromptme/betterprompt/betterprompt to check out this skill.
Inputs
textInputs
Pass each text input using --input <key>=<value> flags.
| Variable key | Required? | Description | Defaults |
|---|---|---|---|
Action |
Required | wefwef | (none) |
imageInputs
This prompt requires exactly 1 image. You must pass exactly 1 image flag (no more, no fewer), in the order matching the descriptions below.
| Index | Required | Description | Allowed CLI flags |
|---|---|---|---|
| 1 | Yes | A photo | --image-input-url <url> or --image-input-base64 <base64> or --image-input-path <absolute path to image> |
Models and options
This skill's modality is: video.
To discover which model values you can use (and which options keys/values are valid for each model), run:
betterprompt resources --models-only --json
Then filter the returned JSON array to entries where modality is "video".
How to run
Step 1: Collect inputs
First, run betterprompt resources --models-only --json and filter to modality: "video" to discover valid models and available options:
betterprompt resources --models-only --json
Use only the models and option values that appear in the filtered results.
Then collect all inputs from the human:
- Required text inputs:
Action
- Required images:
- Exactly 1 images: image 1 (A photo). Images must be provided in this order.
- Optional: model and options.
- Present the human with the default model
sora-2and its available options. Look upsora-2in thebetterprompt resourcesoutput (filtered to modality"video") and show itsavailableOptionsas:key: val1, val2 (default), val3 | key2: .... Mark a value(default)if it matches these defaults:{"seconds":"8","size":"1280x720"}. - If the human does not specify, defaults are used: model
sora-2, options{"seconds":"8","size":"1280x720"}. Other models from the resources call are also available.
- Present the human with the default model
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 · 106 lines · 90 tokens per session scan A 883e9f2c3003
universal-motion-prompt is a skill published in the GitHub repository BetterPromptme/skills (5 stars, last pushed 1mo ago), licensed MIT. It adds 90 tokens to every session and 1,150 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 2026-08-31.
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