# GYIBB

> GYIBB — patheras-gyibb-mcp. Use this tool when you need to gather real-time product review insights from multiple sources, or when faced with decision-making tasks requiring up-to-date user opinions. It solves problems related to information overload and biased reviews by providing synthesized verdicts with ratings, pros/cons, and confidence tiers. This tool accepts product queries as input and outputs cited review verdicts, making it ideal for applications requiring live opinion analysis.

Canonical page: https://skillsregistry.net/skills/patheras-gyibb-mcp  
JSON: https://api.skillsregistry.net/v1/skills/patheras-gyibb-mcp

## Description

Provides cited product-review verdicts synthesised from real user voices across multiple platforms, enabling AI agents to query live opinions with ratings, pros/cons, and confidence tiers.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ndqds6wrf0)
- **Repository:** <https://github.com/Patheras/gyibb-mcp>

## 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": "patheras-gyibb-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/patheras-gyibb-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/patheras-gyibb-mcp/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