# io.github.agntor/trust

> Use this tool when you need to establish a secure trust layer for AI agents, enabling features such as identity verification, data redaction, and secure payment processing. It solves problems related to data privacy, security, and transaction integrity, providing a reliable interface for inputs like identity credentials and outputs like verified transactions. Ideal for use cases requiring trusted interactions between AI agents, such as secure data sharing or automated payments.

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

## Description

Trust layer for AI agents: identity, guard, redact, escrow, and x402 payments.

## Trust

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

## Facts

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

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.agntor%2Ftrust)
- **Repository:** <https://github.com/agntor/mcp>

## 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-agntor-trust"
    }
  }
}
```

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

---
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