# io.github.vibegpt/policycheck

> Use this tool when you need to verify AI sellers and analyze policy risks for online stores, solving problems such as ensuring compliance and mitigating potential risks. It takes in online store data as input and outputs risk analysis reports, providing a comprehensive interface for policy risk assessment. Ideal for use in e-commerce and online marketplace contexts where seller verification and policy compliance are crucial.

Canonical page: https://skillsregistry.net/skills/io-github-vibegpt-policycheck  
JSON: https://api.skillsregistry.net/v1/skills/io-github-vibegpt-policycheck

## Description

AI seller verification and policy risk analysis for any online store.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.1
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-05-09

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.vibegpt%2Fpolicycheck)

## 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": "io-github-vibegpt-policycheck"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-vibegpt-policycheck` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-vibegpt-policycheck/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