# reply-radar

> reply-radar — zxcvbinz-reply-radar. Use this tool when you need to analyze your WhatsApp reply behavior and relationships. It provides insights into reply times, pending responses, and open conversations, helping you manage your interactions more effectively. The reply-radar app offers a read-only and local interface, with outputs including reply statistics and relationship metrics.

Canonical page: https://skillsregistry.net/skills/zxcvbinz-reply-radar  
JSON: https://api.skillsregistry.net/v1/skills/zxcvbinz-reply-radar

## Description

Native macOS app that shows how you reply on WhatsApp: reply times, who is waiting for you, open loops and relationship stats. Read-only and local, with an MCP server for Claude Code.

## 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:** 2026-10-27

## Source

- **Source listing:** [GitHub](https://github.com/zxcvbinz/reply-radar)

## 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": "zxcvbinz-reply-radar"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/zxcvbinz-reply-radar` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/zxcvbinz-reply-radar/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
