# AgentGraph Trust

> Use this tool when you need to verify the trustworthiness of AI agent tools and detect potential security vulnerabilities. AgentGraph Trust solves problems related to AI agent security and reliability by scanning for threats and providing trust verification. It takes AI agent tools as input and outputs a trust score, making it ideal for use cases where secure AI agent interactions are crucial.

Canonical page: https://skillsregistry.net/skills/io-github-agentgraph-co-agentgraph-trust  
JSON: https://api.skillsregistry.net/v1/skills/io-github-agentgraph-co-agentgraph-trust

## Description

Security scanning and trust verification for AI agent tools.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 0.3.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-05-09

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.agentgraph-co%2Fagentgraph-trust)

## 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": "io-github-agentgraph-co-agentgraph-trust"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-agentgraph-co-agentgraph-trust` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-agentgraph-co-agentgraph-trust/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