Capacity Planning

Calculate WAV carrier capacity for GH0STB1T: AUD10STEG0 embedding.

Updated Jan 19, 2026
One-click install
npx skills add https://github.com/kariemoorman/ghostbit --skill capacity-planning-kariemoorman
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: Capacity Planning
Source: https://github.com/kariemoorman/ghostbit/tree/main/src/ghostbit/audiostego/skills/capacity
Command: npx skills add https://github.com/kariemoorman/ghostbit --skill capacity-planning-kariemoorman

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill helps users understand and manage the storage capacity within audio files when embedding secret data, preventing encoding failures due to insufficient space.

Core Features & Use Cases

  • Capacity Calculation: Provides formulas and Python code to accurately determine available space in WAV carriers.
  • Optimization Strategies: Offers methods like compression, quality adjustment, and splitting data across multiple carriers.
  • Use Case: Before encoding a large archive into a music file, use this Skill to calculate if it fits and, if not, to determine the best strategy (e.g., compressing the archive or using a lower quality setting).

Quick Start

Calculate the available capacity in 'my_song.wav' for normal quality encoding.

Frequently Asked Questions about Capacity Planning

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I calculate audio steganography capacity for a WAV file before encoding?

You can calculate audio steganography capacity by applying provided Python formulas to determine the exact available space within your WAV carrier file before attempting to embed secret data.

Why do I get a not enough capacity error when hiding data in audio files?

You encounter a not enough capacity error during audio steganography when the secret file exceeds the available space in the WAV carrier, which you can prevent by performing pre-encoding capacity checks and strategic planning.

What is the best way to optimize audio steganography capacity for large archives?

To optimize audio steganography capacity for large archives, apply compression, adjust encoding quality modes to lower settings, or split the secret data across multiple WAV carrier files to ensure sufficient space.

Does lowering encoding quality increase data hiding space in WAV carriers?

Lowering encoding quality increases data hiding space in WAV carriers by reducing overhead, thereby expanding the available steganographic capacity for embedding larger secret files during the encoding process.

Can I split secret data across multiple audio files to avoid capacity limits?

You can split secret data across multiple audio files to bypass individual WAV carrier capacity limits, effectively distributing the payload to prevent encoding failures and maximize total steganographic storage space.