# mithril

> mithril — radimsem-mithril. Use this tool when you need to securely execute AI coding tasks with validated and sandboxed tools, replacing generic shell commands to prevent potential security risks. Mithril solves the problem of trustless code execution, providing a safe environment for AI agents to run purpose-built tools with git capabilities. It takes in AI coding tasks as input and outputs securely executed results, ideal for use cases requiring high security and reliability.

Canonical page: https://skillsregistry.net/skills/radimsem-mithril  
JSON: https://api.skillsregistry.net/v1/skills/radimsem-mithril

## Description

A trustless MCP server that replaces the generic shell tool with validated, sandboxed, purpose-built execution tools for AI coding agents.

## Trust

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

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/radimsem/mithril)

## 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": "radimsem-mithril"
    }
  }
}
```

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