# mcp-crew-risk

> Use this tool when you need to assess the compliance and potential risks of crawling target websites, covering legal, social ethics, and technical aspects. It provides multi-level risk warnings and recommendations to help plan crawler strategies and avoid disputes. Ideal for crawler developers and operators seeking to ensure technical stability, efficiency, and social responsibility.

Canonical page: https://skillsregistry.net/skills/deeppath-ai-mcp-crew-risk  
JSON: https://api.skillsregistry.net/v1/skills/deeppath-ai-mcp-crew-risk

## Description

This framework aims to provide crawler developers and operators with a comprehensive automated compliance detection toolset to evaluate the crawler-friendliness and potential risks of target websites. It covers three major dimensions: legal, social ethics, and technical aspects. Through multi-level risk warnings and specific recommendations, it helps plan crawler strategies reasonably to avoid legal disputes and negative social impacts while improving technical stability and efficiency.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** browser-automation
- **Updated:** 2026-05-14

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/deeppath-ai/mcp-crew-risk)

## 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": "deeppath-ai-mcp-crew-risk"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/deeppath-ai-mcp-crew-risk` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/deeppath-ai-mcp-crew-risk/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