# io.github.kbanilsson-pixel/nerq-trust-engine

> Use this tool when you need to establish trust with AI agents through preflight checks and Know Your Agent (KYA) due diligence, solving problems of agent verification and risk assessment. It provides a searchable database of over 204,000 agents, offering a free solution for secure agent interactions. Ideal for use cases requiring trusted AI agent interactions, this engine takes agent information as input and outputs verification results.

Canonical page: https://skillsregistry.net/skills/io-github-kbanilsson-pixel-nerq-trust-engine  
JSON: https://api.skillsregistry.net/v1/skills/io-github-kbanilsson-pixel-nerq-trust-engine

## Description

AI agent trust engine — preflight checks, KYA due diligence, search 204K+ agents. Free.

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.kbanilsson-pixel%2Fnerq-trust-engine)
- **Repository:** <https://github.com/zarq-ai/zarq-mcp-server>

## Use it

MCP endpoint published by the skill: `https://mcp.zarq.ai/sse`

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": "io-github-kbanilsson-pixel-nerq-trust-engine"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-kbanilsson-pixel-nerq-trust-engine` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-kbanilsson-pixel-nerq-trust-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