# Stealth Radar

> Use this tool when you need to anticipate emerging competitors and unannounced product launches by tracking tech news and web signals. It solves the problem of being caught off guard by new market entries by analyzing digital indicators to score the likelihood of stealth launches. The tool provides a complete pipeline of inputs, including tech news and web data, and outputs a scored likelihood of market entry, helping you stay ahead of the competition.

Canonical page: https://skillsregistry.net/skills/rainbowgore-product-stealth-launch-radar  
JSON: https://api.skillsregistry.net/v1/skills/rainbowgore-product-stealth-launch-radar

## Description

Tracks tech news and web signals to identify unannounced product launches. Analyzes digital indicators to score the likelihood of stealth market entries. Provides a complete pipeline for tracking emerging competitors before they officially debut.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/rainbowgore/Product-Stealth-Launch-Radar)
- **Repository:** <https://github.com/rainbowgore/Stealthee-MCP-tools>

## 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": "rainbowgore-product-stealth-launch-radar"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/rainbowgore-product-stealth-launch-radar` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/rainbowgore-product-stealth-launch-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