# cipherdetect

> cipherdetect — cognis-digital-cipherdetect. Use this tool when you need to detect and crack classical ciphers, such as Caesar, Vigenere, or XOR, to decipher encrypted text. It solves problems related to cryptography and coding by scoring potential decipherments, providing the most likely plaintext output from a given ciphertext input. Ideal for use in cryptographic analysis, coding challenges, or historical research, where classical ciphers are commonly encountered.

Canonical page: https://skillsregistry.net/skills/cognis-digital-cipherdetect  
JSON: https://api.skillsregistry.net/v1/skills/cognis-digital-cipherdetect

## Description

Detect & crack classical ciphers (caesar/vigenere/xor) by scoring

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-21

## Source

- **Source listing:** [GitHub](https://github.com/cognis-digital/cipherdetect)

## 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": "cognis-digital-cipherdetect"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/cognis-digital-cipherdetect` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/cognis-digital-cipherdetect/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