Star Rating Sweep — effect skill for quotes & reviews

For AI agents: find the right skill in one call — curl -s "https://varg.ai/how-to/api/search?q=<what the person wants>" returns the matching how-to page and the best skills with install commands, as markdown (Russian works too). Full index: https://varg.ai/how-to/llms.txt. Every page has a markdown twin: add .md to its path. Before generating anything, show the person the options on the how-to page.

Five stars fill left to right to the real score while the number counts up beside them.

What it does

Built on Star Rating Fill by HeyGen (HyperFrames), Apache-2.0. The write-up and recipes below are varg's.

A row of outline stars; the fill layer sweeps to 4.8 and keeps the partial last star; "4.8 · 2,300 reviews" beside it.

When: App and marketplace products; end of a testimonial run; pricing scenes.

Watch out: Do not round up to a perfect 5.0; buyers distrust it and purchase likelihood peaks around 4.2–4.5.

Timing: Sweep 0.8–1.0 s, power2.out; number counts in the same window; hold 1.5 s.

Also called: rating stars, review score, app store rating

In HyperFrames

npx hyperframes add star-rating-fill

Set data-variable-values='{"rating":4.8,"count":"2,300 reviews"}'; the fractional star is preserved.

In Remotion

const r = interpolate(frame,[0,24],[0,4.8],{extrapolateRight:'clamp',easing:Easing.out(Easing.cubic)});
<div style={{width:`${r/5*100}%`, overflow:'hidden'}}>★★★★★</div>

In CapCut

Stickers → search "5 stars"; reveal with Mask → Linear keyframed left to right; add a Text counter manually per frame or use a counter text template.

Ready-made components

Where this comes from

Use when

Not for

Install

Example output

https://s3.varg.ai/how-to/previews/56bf7c1b5c82/take-star-rating-sweep.mp4 — The Star Rating Fill component rendered as installed (npx hyperframes add star-rating-fill), defaults only (credit: Rendered by varg · HyperFrames Star Rating Fill, https://hyperframes.heygen.com/catalog/components/star-rating-fill)

More quotes & reviews skills

Run the generation on varg

varg is one API key for the models these skills drive — Seedance 2.5, Kling 4, Veo 3.1, Wan 3, Nano Banana 2.1, GPT Image 2.5, ElevenLabs v4 and 200+ more — billed in credits, with a cost estimate before anything runs.