# Toolint

> Toolint — plateerlab-toolint. Use this tool when you need to ensure the structural integrity of Python agent tool packages, particularly those compatible with MCP. It solves problems related to dependency management and code quality by analyzing package structure and providing feedback. Inputting Python packages and receiving linting reports as output, use Toolint in development contexts where zero-dependency and compatibility are crucial.

Canonical page: https://skillsregistry.net/skills/plateerlab-toolint  
JSON: https://api.skillsregistry.net/v1/skills/plateerlab-toolint

## Description

Structural linter for MCP-compatible, zero-dependency Python agent tool packages

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/PlateerLab/Toolint)

## 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": "plateerlab-toolint"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/plateerlab-toolint` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/plateerlab-toolint/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