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 bullish0x/GameStudio --skill pixi-tickergit clone --depth 1 https://github.com/bullish0x/GameStudioWrote 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/bullish0x/gamestudio/pixi-ticker)<a href="https://agentmods.dev/skills/bullish0x/gamestudio/pixi-ticker"><img src="https://agentmods.dev/badge/skills/bullish0x/gamestudio/pixi-ticker/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/bullish0x/gamestudio/pixi-ticker"><img src="https://agentmods.dev/badge/skills/bullish0x/gamestudio/pixi-ticker.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 | $0.00107 | $0.02257 |
| Opus 5 | $0.00053 | $0.01128 |
| Sonnet 5 | $0.00021 | $0.00451 |
| Haiku 4.5 | $0.00011 | $0.00226 |
Grade A, and why
pixi-ticker 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 8d 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.
This is a copy
100% identical to pixijs-ticker — 2 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 293 lines — stays where its author put it; the contents beside it link to each section on GitHub.
app.ticker runs registered callbacks every frame and drives app.render() at UPDATE_PRIORITY.LOW. Each callback receives the Ticker instance; read deltaTime as a frame-rate-independent multiplier (≈1.0 at 60fps) or deltaMS for real-time calculations.
Quick Start
app.ticker.add((ticker) => {
sprite.rotation += 0.01 * ticker.deltaTime;
sprite.x += (200 / 1000) * ticker.deltaMS;
});
app.ticker.add(
(ticker) => {
updatePhysics(ticker.deltaMS);
},
undefined,
UPDATE_PRIORITY.HIGH,
);
app.ticker.maxFPS = 30;
app.ticker.speed = 0.5;
sprite.onRender = () => {
sprite.scale.x = Math.sin(performance.now() / 500);
};
Related skills: pixijs-application (Application setup and sharedTicker option), pixijs-performance (frame rate optimization), pixijs-migration-v8 (v7 ticker signature changes).
Core Patterns
Time units
The Ticker exposes three timing values, each for different use cases:
| Property | Type | Scaled by speed? | Capped by minFPS? | Use case |
|---|---|---|---|---|
deltaTime |
dimensionless (~1.0 at 60fps) | yes | yes | Frame-rate-independent animation multipliers |
deltaMS |
milliseconds | yes | yes | Time-based calculations (pixels/sec) |
elapsedMS |
milliseconds | no | no | Raw measurement, profiling |
import { Application } from "pixi.js";
const app = new Application();
await app.init({ width: 800, height: 600 });
app.ticker.add((ticker) => {
// deltaTime: dimensionless scalar, ~1.0 at 60fps
sprite.rotation += 0.1 * ticker.deltaTime;
// deltaMS: real milliseconds (speed-scaled, capped)
sprite.x += (200 / 1000) * ticker.deltaMS; // 200 pixels per second
// elapsedMS: raw milliseconds (no scaling, no cap)
console.log(`Raw frame time: ${ticker.elapsedMS}ms`);
});
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.
- 8d ago First seen · 293 lines · 107 tokens per session scan A 7784507cc1fe
pixi-ticker is a skill published in the GitHub repository bullish0x/GameStudio (12 stars, last pushed 3mo ago), licensed MIT. It adds 107 tokens to every session and 2,257 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to pixijs-ticker, differing in 2 lines, and is treated as a copy.
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