Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/bullish0x/GameStudionpx agentmods add skills/bullish0x/gamestudio/input-systemWrote 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/input-system)<a href="https://agentmods.dev/skills/bullish0x/gamestudio/input-system"><img src="https://agentmods.dev/badge/skills/bullish0x/gamestudio/input-system/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/input-system"><img src="https://agentmods.dev/badge/skills/bullish0x/gamestudio/input-system.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 | $0.00025 | $0.03264 |
| Opus 5 | $0.00013 | $0.01632 |
| Sonnet 5 | $0.00005 | $0.00653 |
| Haiku 4.5 | $0.00003 | $0.00326 |
Grade A, and why
input-system 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 7d 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 — 524 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Input System
When to Use
Use this skill when:
- Building input handling for ECS games
- Supporting multiple input devices
- Implementing action mapping
- Creating input buffering for combos
- Building cross-platform controls
Core Principles
- Device Abstraction: Unified API for all input types
- Action Mapping: Map inputs to game actions
- Input Buffering: Store recent inputs for combos
- Frame-Perfect Input: Sample input at consistent rate
- Priority Handling: Process inputs in correct order
Implementation
1. Input Component
// components/Input.ts
import { Component } from '../core/Component';
export interface InputMapping {
action: string;
keys?: string[];
buttons?: number[];
touches?: boolean;
axis?: { positive: string; negative: string };
}
export class Input implements Component {
// Raw input state
keys = new Set<string>();
mouseButtons = new Set<number>();
mouseX = 0;
mouseY = 0;
mouseDeltaX = 0;
mouseDeltaY = 0;
touches: Array<{ id: number; x: number; y: number }> = [];
gamepadButtons = new Map<number, boolean>();
gamepadAxes = new Map<number, number>();
// Action states
actions = new Map<string, boolean>();
actionJustPressed = new Map<string, boolean>();
actionJustReleased = new Map<string, boolean>();
// Input buffer for combos
buffer: Array<{ action: string; timestamp: number }> = [];
bufferDuration = 200; // ms
// Mappings
mappings: InputMapping[] = [];
constructor() {}
registerMapping(mapping: InputMapping): void {
this.mappings.push(mapping);
}
isActionActive(action: string): boolean {
return this.actions.get(action) || false;
}
wasActionJustPressed(action: string): boolean {
return this.actionJustPressed.get(action) || false;
}
wasActionJustReleased(action: string): boolean {
return this.actionJustReleased.get(action) || false;
}
getAxis(action: string): number {
const mapping = this.mappings.find(m => m.action === action && m.axis);
if (mapping?.axis) {
const positive = this.keys.has(mapping.axis.positive) ? 1 : 0;
const negative = this.keys.has(mapping.axis.negative) ? -1 : 0;
return positive + negative;
}
return 0;
}
addToBuffer(action: string, timestamp: number): void {
this.buffer.push({ action, timestamp });
// Clean old entries
this.buffer = this.buffer.filter(
entry => timestamp - entry.timestamp < this.bufferDuration
);
}
checkCombo(actions: string[], currentTime: number): boolean {
if (this.buffer.length < actions.length) return false;
// Check if buffer contains sequence
let bufferIndex = this.buffer.length - 1;
for (let i = actions.length - 1; i >= 0; i--) {
if (bufferIndex < 0) return false;
while (
bufferIndex >= 0 &&
this.buffer[bufferIndex].action !== actions[i]
) {
bufferIndex--;
}
if (bufferIndex < 0) return false;
bufferIndex--;
}
return true;
}
}
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.
- 7d ago First seen · 524 lines · 25 tokens per session scan A e27f70637956
input-system is a skill published in the GitHub repository bullish0x/GameStudio (12 stars, last pushed 3mo ago), licensed MIT. It adds 25 tokens to every session and 3,264 once invoked, about $0.0001 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 2026-09-03.
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