# agent-mail-cli

> Use this tool when you need to manage email inboxes for AI agents, allowing them to send and receive emails in a programmatic way, solving communication and automation problems. It provides a command-line interface for agents to interact with email services, accepting inputs such as email addresses and message content, and producing outputs like inbox updates and sent emails. Ideal for use cases requiring automated email handling, notifications, and data exchange between AI agents and other systems.

Canonical page: https://skillsregistry.net/skills/rimelucci-agent-mail-cli  
JSON: https://api.skillsregistry.net/v1/skills/rimelucci-agent-mail-cli

## Description

Email inbox for AI agents.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** communication
- **Updated:** 2026-05-19

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/rimelucci-agent-mail-cli)

## 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": "rimelucci-agent-mail-cli"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/rimelucci-agent-mail-cli` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/rimelucci-agent-mail-cli/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