pixi-svelte-integrator

pixi-svelte-integrator is a skill for Codex from egorfedorov/Slot-Casino-Game-Developer-Skills-for-Stake-Engine. It costs 63 tokens per session (483 once invoked), scanned A, original, no licence file.

A guide for combining PixiJS, a JavaScript 2D rendering library, with Svelte applications. It focuses on keeping the graphics engine and the user interface in sync.

In plain words
What is it for?
Use it to connect setup and cleanup, coordinate application state with rendering events, handle resize and high-DPI displays, and debug input or rendering issues.
Why use it?
It helps prevent lifecycle leaks, incorrect resizing, high-density display problems, and conflicts between reactive data and the rendering loop.

Skill for Codex

Written for Codex: agents/openai.yaml present.

Good fit Use it to connect setup and cleanup, coordinate application state with rendering events, handle resize and high-DPI displays, and debug input or rendering issues.

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Install with agentmods
npx agentmods add skills/egorfedorov/slot-casino-game-developer-skills-for-stake-engine/pixi-svelte-integrator
Install

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.

Any agent
npx skills add egorfedorov/Slot-Casino-Game-Developer-Skills-for-Stake-Engine --skill pixi-svelte-integrator
Clone the repo
git clone --depth 1 https://github.com/egorfedorov/Slot-Casino-Game-Developer-Skills-for-Stake-Engine

Made for: Codex.

Wrote 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.

agentmods badge for pixi-svelte-integrator

README.md
[![agentmods](https://agentmods.dev/badge/skills/egorfedorov/slot-casino-game-developer-skills-for-stake-engine/pixi-svelte-integrator/github.svg)](https://agentmods.dev/skills/egorfedorov/slot-casino-game-developer-skills-for-stake-engine/pixi-svelte-integrator)
Your own site
<a href="https://agentmods.dev/skills/egorfedorov/slot-casino-game-developer-skills-for-stake-engine/pixi-svelte-integrator"><img src="https://agentmods.dev/badge/skills/egorfedorov/slot-casino-game-developer-skills-for-stake-engine/pixi-svelte-integrator/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.

agentmods 80×15 button for pixi-svelte-integrator

Your own site · 80×15
<a href="https://agentmods.dev/skills/egorfedorov/slot-casino-game-developer-skills-for-stake-engine/pixi-svelte-integrator"><img src="https://agentmods.dev/badge/skills/egorfedorov/slot-casino-game-developer-skills-for-stake-engine/pixi-svelte-integrator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 63 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 483 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin unknown No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00063 $0.00483
Opus 5 $0.00032 $0.00242
Sonnet 5 $0.00013 $0.00097
Haiku 4.5 $0.00006 $0.00048

Measured 13d ago against content hash 5796ae36f279, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

pixi-svelte-integrator 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 13d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/validate_pixi_svelte_contract.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

pixi-svelte-integrator/SKILL.md · 64 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

Files

What ships with it

5 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

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.

  1. 13d ago First seen · 64 lines · 63 tokens per session scan A 5796ae36f279

Subscribe to this mod's changes

pixi-svelte-integrator is a skill published in the GitHub repository egorfedorov/Slot-Casino-Game-Developer-Skills-for-Stake-Engine (59 stars, last pushed 6mo ago), with no licence file. It adds 63 tokens to every session and 483 once invoked, about $0.0003 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 2026-08-30.

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