# zsteg-rs

> zsteg-rs — tokeii0-zsteg-rs. Use this tool when you need to detect and extract hidden data from images, solving problems related to steganography and image analysis. It takes image files as input and outputs any discovered secret messages or data, providing a command-line interface for users. Ideal for use cases involving digital forensics, cybersecurity, and data hiding detection.

Canonical page: https://skillsregistry.net/skills/tokeii0-zsteg-rs  
JSON: https://api.skillsregistry.net/v1/skills/tokeii0-zsteg-rs

## Description

A Rust port of zsteg

## Trust

- **Trust score (0–1):** 0.87
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/Tokeii0/zsteg-rs)

## 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": "tokeii0-zsteg-rs"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/tokeii0-zsteg-rs` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/tokeii0-zsteg-rs/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