# GitHub Stars as Proof — 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.

Stargazer avatars fly past while a star counter odometers up to the repo's real total.

- **Type:** [Effect](https://varg.ai/how-to/effects.md) · [Quotes & reviews](https://varg.ai/how-to/browse/skills/quotes.md)
- **Slug:** `star-count-proof`
- **Status:** live
- **Publisher:** Kapish Dima · remocn (community)
- **License:** MIT
- **Source:** https://remocn.dev/r/github-stars.json
- **Works in:** Claude Code, Claude.ai, Codex, Cursor, OpenClaw, Gemini CLI, Any MCP client, varg Studio
- **Requires:** HyperFrames (npx hyperframes), Remotion, CapCut (by hand)
- **Cost:** Free — the take renders locally; generated footage, if any, bills by the model

## What it does

Built on [GitHub Stars](https://remocn.dev/r/github-stars.json) by Kapish Dima (remocn), MIT. The write-up and recipes below are varg's.

A ★ icon with a rolling count; avatars blur-stagger in a cloud behind it, then the count locks with a small pop.

**When:** Open-source and developer tools; the moment you say "loved by developers".

**Watch out:** Do not show a stale number; read it from the API on render day and round honestly (12.4k, not 12k+).

**Timing:** Count 1.2–1.8 s, ease-out; avatars stagger 20–40 ms; lock pop 0.2 s.

**Also called:** stargazers, star count, open source proof

### In HyperFrames

```bash
npx hyperframes add count-up
npx hyperframes add avatar-cloud
```
Set the target via `data-variable-values='{"to":12400}'`; fire the avatar cloud 0.2 s before the count.

### In Remotion

```tsx
// npx shadcn@latest add @remocn/github-stars
const n = Math.round(interpolate(frame,[0,45],[0,stars],{extrapolateRight:'clamp',easing:Easing.out(Easing.quad)}));
```

### In CapCut

Add a ★ sticker and a Text layer; keyframe the number with a counter text template (Text → templates → "number").

### Ready-made components

- [GitHub Stars](https://skills.varg.ai/component/remocn.github-stars/) (remocn): npx shadcn@latest add @remocn/github-stars
- [Avatar Cloud](https://skills.varg.ai/component/hf.avatar-cloud/) (hyperframes): npx hyperframes add avatar-cloud
- [Count Up](https://skills.varg.ai/component/reactbits.count-up/) (react-bits): npx shadcn@latest add @react-bits/CountUp-JS-CSS

### Where this comes from

- [Animation principles for data visualization](https://skills.cat/skills/dylantarre/animation-principles/data-visualization)

## Use when

- Open-source and developer tools; the moment you say "loved by developers".

## Not for

- Do not show a stale number; read it from the API on render day and round honestly (12.4k, not 12k+).

## Install

- Claude Code: `claude plugin marketplace add vargHQ/skills && claude plugin install varg@varg`
- Codex: `npx skills add vargHQ/skills --skill varg-video-edit-library -a codex -y`
- Cursor: `npx skills add vargHQ/skills --skill varg-video-edit-library -a cursor -y`

## Example output

https://s3.varg.ai/how-to/previews/0eb0b72b5627/lib-react-bits-count-up.mp4 — Preview of the Count Up component that builds this take (credit: Captured from the library’s own demo page (React Bits), https://reactbits.dev/text-animations/count-up)

## More quotes & reviews skills

- [Tweet as Proof Card](https://varg.ai/how-to/skills/tweet-proof-card.md): A real post from a user animates in as a card: avatar, name, text, then counts tick up.
- [Quote at Reading Pace](https://varg.ai/how-to/skills/quote-at-reading-pace.md): One strong customer sentence reveals word by word, then the name, role and avatar settle under it.
- [Star Rating Sweep](https://varg.ai/how-to/skills/star-rating-sweep.md): Five stars fill left to right to the real score while the number counts up beside them.
- [Wall of Love Marquee](https://varg.ai/how-to/skills/wall-of-love-marquee.md): Two or three rows of review cards drift in opposite directions, fading at the edges.
- [Community Post as Proof](https://varg.ai/how-to/skills/community-post-proof.md): A real community post or comment card pops over the footage with its upvotes counting up.
- [Reviews Arrive as Notifications](https://varg.ai/how-to/skills/reviews-as-notifications.md): Short reviews land as system notifications that stack and push each other down.

## 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.

- Claude Code: `claude plugin marketplace add vargHQ/skills && claude plugin install varg@varg` (skill + hosted MCP)
- Codex, Cursor, Gemini CLI, OpenClaw: `npx skills add vargHQ/skills --skill varg-ai -a <agent> -y`
- Grok and any agent that reads SKILL.md: `npx skills add vargHQ/skills --skill varg-ai`, or point it at the skill's SKILL.md
- Claude.ai, ChatGPT, any MCP client: connect `https://mcp.varg.ai/mcp`
- API key: https://varg.ai/dashboard/api · Model specs: https://varg.ai/models/llms.txt