# phishcheck

> phishcheck — cognis-digital-phishcheck. Use this tool when you need to identify potential phishing threats in URLs and emails by scoring them for suspicious signals. It analyzes indicators such as lookalike domains, authentication requests, and malicious intent to provide a phishing risk assessment. Ideal for use cases requiring email or URL validation, such as email filtering or website verification, with input of URLs or emails and output of a phishing risk score.

Canonical page: https://skillsregistry.net/skills/cognis-digital-phishcheck  
JSON: https://api.skillsregistry.net/v1/skills/cognis-digital-phishcheck

## Description

Score URLs/emails for phishing signals (lookalike, auth, intent)

## Trust

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

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-21

## Source

- **Source listing:** [GitHub](https://github.com/cognis-digital/phishcheck)

## 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": "cognis-digital-phishcheck"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/cognis-digital-phishcheck` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/cognis-digital-phishcheck/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