# ai.augmentev/paseo

> Use this tool when you need to securely execute AI tasks with confidential inputs and verify the integrity of the output. It solves problems related to data privacy and security by providing a post-quantum receipt for every job, enabling anyone to verify the authenticity of the results. The tool takes in AI tasks and sensitive data as input and outputs a verifiable receipt, making it ideal for use cases where data confidentiality and integrity are paramount.

Canonical page: https://skillsregistry.net/skills/ai-augmentev-paseo  
JSON: https://api.skillsregistry.net/v1/skills/ai-augmentev-paseo

## Description

Confidential AI execution with a post-quantum receipt on every job — verifiable by anyone.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 0.1.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-28

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/ai.augmentev%2Fpaseo)

## Use it

MCP endpoint published by the skill: `https://api.augmentev.ai/mcp`

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": "ai-augmentev-paseo"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ai-augmentev-paseo` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ai-augmentev-paseo/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