# agentbond

> agentbond — wharfe-agentbond. Use this tool when you need to establish secure and trustworthy interactions between AI agents, as it provides authorization, intent proof, and contract management capabilities to facilitate reliable transactions and settlements. It solves problems related to agent governance, identity verification, and contract enforcement, enabling seamless collaboration and exchange between AI entities. Ideal for use cases involving multi-agent systems, autonomous decision-making, and decentralized AI applications.

Canonical page: https://skillsregistry.net/skills/wharfe-agentbond  
JSON: https://api.skillsregistry.net/v1/skills/wharfe-agentbond

## Description

Agent-first governance infrastructure for AI agents — authorization, intent proof, contracts, and settlement.

## 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:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/wharfe/agentbond)

## 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": "wharfe-agentbond"
    }
  }
}
```

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