@0xward/cultos-utils
v1.1.4
Published
Futuristic AI-powered generator framework for viral internet-style cult meme coins in the Stacks ecosystem.
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2,008
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@0xward/cultos-utils
A specialized developer utility framework containing metadata modeling tools and statistical validation functions for algorithmic token distributions inside the CultOS digital token ecosystem.
Installation
Prerequisites
- Node.js >= 18.0.0
- npm >= 9.0.0 (or yarn >= 1.22.0 / pnpm >= 8.0.0)
Package Deployment
Execute the targeted acquisition command matching your production environment package manager setup:
# Using Node Package Manager (Default)
npm install @0xward/cultos-utils
# Using Yarn Package Manager
yarn add @0xward/cultos-utils
# Using PNPM Package Manager
pnpm add @0xward/cultos-utilsPeer Dependencies
For secure runtime cryptographic executions and ledger state mutations, ensure your runtime container establishes communication boundaries with the primary network bindings if processing on-chain blocks:
- For Stacks L2 layers: @stacks/transactions (>= 6.x) for standard SIP-10 token serialization compliance.
Core Capabilities
- SIP-10 Standardization Tooling: Implements structural verification blueprints to check data alignment with Stacks standard fungible token parameters.
- Velocity Simulation Models: Houses computational logic to forecast engagement growth multipliers based on custom initial parameters.
- Distributed Metadata Mapping: Formats metadata schemas ensuring clean binding setups with protocol targets like Gaia and IPFS storage interfaces.
Quick Start
const { CultOSUtils } = require("@0xward/cultos-utils");
const metadata = CultOSUtils.generateMemeMetadata("Core Cult Network", "CCN");
console.log("Standardized Token Object:", metadata);API Reference
Methods
| Method | Parameters | Return Type | Description |
| :--- | :--- | :--- | :--- |
| generateMemeMetadata | name: string, ticker: string | Object | Generates structured JSON files fully compliant with token metadata definitions. |
| calculateViralFactor | metrics: Object | number | Runs analytical models to map probability outputs from networking inputs. |
License
This project is licensed under the terms of the MIT License.
