# mythify

> mythify — hannsxpeter-mythify. Use this tool when you need to verify the reliability of your AI-coded solutions and ensure tests are thoroughly validated. Mythify solves the problem of trusting AI-generated code by providing executed verification and persistent memory, giving you confidence in your code's accuracy. It integrates with git, taking in code and test inputs and outputting verified results that survive sessions.

Canonical page: https://skillsregistry.net/skills/hannsxpeter-mythify  
JSON: https://api.skillsregistry.net/v1/skills/hannsxpeter-mythify

## Description

Your AI coding agent says the tests pass. Mythify makes it prove it: plans, executed verification, and memory that survives the session.

## Trust

- **Trust score (0–1):** 0.38
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/hannsxpeter/mythify)

## 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": "hannsxpeter-mythify"
    }
  }
}
```

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