# ReviewRadar

> ReviewRadar — abhishekdubey331-reviewradar. Use this tool when you need to analyze and prioritize app-store reviews to inform product decisions. ReviewRadar ingests reviews from Google Play and Apple App Store, providing outputs such as flagged critical issues, trends, and ownership mapping through a PM-ready interface. It solves problems related to product intelligence, issue tracking, and weekly reporting, making it ideal for product managers and developers seeking data-driven insights.

Canonical page: https://skillsregistry.net/skills/abhishekdubey331-reviewradar  
JSON: https://api.skillsregistry.net/v1/skills/abhishekdubey331-reviewradar

## Description

ReviewRadar is an MCP server that turns app-store reviews into prioritized product intelligence. It ingests reviews from Google Play and Apple App Store, runs deterministic + LLM-assisted analysis, flags critical P0/P1 issues, and exposes PM-ready tools for top issues, trends, spikes, ownership mapping, and weekly reporting.

## Trust

- **Trust score (0–1):** 0.95
- **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/abhishekdubey331/ReviewRadar)

## 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": "abhishekdubey331-reviewradar"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/abhishekdubey331-reviewradar` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/abhishekdubey331-reviewradar/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