# engine

> engine — microtoll-engine. Use this tool when you need to implement robust security measures in an end-to-end-encrypted application, solving problems such as secure sign-in, key management, and access control. It provides a comprehensive security layer with packages for sign-in, key handling, access control, and revocation, ensuring the server stores only encrypted data. Ideal for use cases requiring high security and data protection, with inputs including user credentials and encryption keys, and outputs including secure access tokens and encrypted data storage.

Canonical page: https://skillsregistry.net/skills/microtoll-engine  
JSON: https://api.skillsregistry.net/v1/skills/microtoll-engine

## Description

The security layer of an end-to-end-encrypted app, as packages: sign-in, key handling, access control and revocation. The server stores only what it cannot read.

## 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:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/microtoll/engine)

## 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": "microtoll-engine"
    }
  }
}
```

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