# ghostbit

> ghostbit — kariemoorman-ghostbit. Use this tool when you need to conceal secret information within various file formats, such as images, audio, or text, and analyze or generate steganographic content using Large Language Models (LLMs). Ghostbit solves problems related to secure data hiding, watermarking, and covert communication, accepting multiple file types as input and producing steganographically encoded output. It is ideal for use cases requiring discreet data transmission or intellectual property protection, with integration into git workflows for version control and collaboration.

Canonical page: https://skillsregistry.net/skills/kariemoorman-ghostbit  
JSON: https://api.skillsregistry.net/v1/skills/kariemoorman-ghostbit

## Description

A Multi-format Steganography Toolkit, with LLM integration

## Trust

- **Trust score (0–1):** 0.00
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** ai-ml
- **Updated:** 2026-09-20

## Source

- **Source listing:** [GitHub](https://github.com/kariemoorman/ghostbit)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "kariemoorman-ghostbit"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/kariemoorman-ghostbit` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/kariemoorman-ghostbit/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt