# idios

> idios — honeytones-idios. Use this tool when you need to securely facilitate transactions between AI agents and workers on the Beam mainnet, ensuring fair payment and delivery through a private escrow system with arbitrator voting and collateral locking. It solves problems of trust and dispute resolution in AI agent work, providing a reliable interface for agents to lock payments and workers to lock collateral. Ideal for use cases requiring secure, decentralized, and transparent contract management with built-in dispute resolution mechanisms.

Canonical page: https://skillsregistry.net/skills/honeytones-idios  
JSON: https://api.skillsregistry.net/v1/skills/honeytones-idios

## Description

Private escrow for AI agent work on Beam mainnet
an agent locks payment, the worker locks collateral, and delivery settles on hash match or review, with M of N arbitrator voting and slashable worker bonds as the dispute backstop. 22 tools cover the full contract lifecycle, and dispute voting is deliberately not an agent tool, so an agent can never rule in its own favour.

## Trust

- **Trust score (0–1):** 0.62
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/cga14uotdc)
- **Repository:** <https://github.com/honeytones/idios>

## 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": "honeytones-idios"
    }
  }
}
```

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