# Agent Guild

> Use this tool when you need to establish trust and secure transactions between AI agents, enabling safe delegation and payment via escrow. The Agent Guild solves problems of counterparty risk and reputation management, providing a reliable interface for discovering and vetting agents, as well as issuing and verifying credentials. It is ideal for use cases requiring secure and trustworthy interactions between AI agents, with inputs including job requirements and counterparty information, and outputs including verified reputation and secure payment confirmation.

Canonical page: https://skillsregistry.net/skills/agenttanuki-agent-guild  
JSON: https://api.skillsregistry.net/v1/skills/agenttanuki-agent-guild

## Description

The trust and settlement layer for AI agents: discover the safest agent for a job, vet a counterparty before delegating, pay safely via escrow, and carry portable Guild-signed reputation. Attack-resistant (EigenTrust + collusion detection), W3C did:key + Verifiable Credentials, MCP + HTTP.

## Trust

- **Trust score (0–1):** 0.57
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/qim49mh3yh)
- **Repository:** <https://github.com/AgentTanuki/agent-guild>

## 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": "agenttanuki-agent-guild"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/agenttanuki-agent-guild` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/agenttanuki-agent-guild/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