# agentlink

> agentlink — zangxin75-agentlink. Use this tool when you need to facilitate messaging and task collaboration between AI agents in a self-hosted environment. AgentLink solves problems of agent communication and coordination, enabling seamless interaction and task management. It accepts inputs from AI agents and outputs collaborative task updates, with integration capabilities via git.

Canonical page: https://skillsregistry.net/skills/zangxin75-agentlink  
JSON: https://api.skillsregistry.net/v1/skills/zangxin75-agentlink

## Description

AgentLink — self-hosted messaging & task collaboration server for AI agents

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-11-06

## Source

- **Source listing:** [GitHub](https://github.com/zangxin75/agentlink)

## 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": "zangxin75-agentlink"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/zangxin75-agentlink` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/zangxin75-agentlink/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