# Aegis-ZK

> Use this tool when you need to verify the trustworthiness of third-party AI tools and servers, ensuring secure execution and minimizing risk. Aegis-ZK provides on-chain attestations, audit levels, and risk scores for AI agent tools, allowing for informed decisions before running unknown servers. It takes in queries from AI agents and returns verification data, enabling safe and reliable tool integration.

Canonical page: https://skillsregistry.net/skills/aegis-zk-aegis-zk  
JSON: https://api.skillsregistry.net/v1/skills/aegis-zk-aegis-zk

## Description

On-chain trust verification for AI agent tools. Agents query skill attestations, audit levels, and risk scores before running third-party MCP servers, so you know what's safe before you execute.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-05-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/gbxw6c6r5a)
- **Repository:** <https://github.com/aegis-zk/aegisprotocol>

## 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": "aegis-zk-aegis-zk"
    }
  }
}
```

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