# linklint

> linklint — bart-turczynski-linklint. Use this tool when you need to inspect URLs for potential deception or security threats without relying on network connectivity. Linklint detects suspicious URLs and provides detailed explanations for its findings, making it a valuable resource for identifying and mitigating online security risks. It accepts URLs as input and returns a detailed analysis of potential threats, making it ideal for use cases where offline security scanning is necessary.

Canonical page: https://skillsregistry.net/skills/bart-turczynski-linklint  
JSON: https://api.skillsregistry.net/v1/skills/bart-turczynski-linklint

## Description

Read-only mirror of gitlab.com/bart-turczynski/linklint (issues and development there). An explainable, offline-first, agent-native URL inspector — detects deceptive URLs and tells you exactly why, with no network

## Trust

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

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-24

## Source

- **Source listing:** [GitHub](https://github.com/bart-turczynski/linklint)

## 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": "bart-turczynski-linklint"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/bart-turczynski-linklint` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/bart-turczynski-linklint/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