# ZeroSlop

> ZeroSlop — manavmishra-zeroslop. Use this tool when you need to evaluate and refine AI-generated content, as ZeroSlop scores writing on a 0-100 scale and allows editing with an assistant, helping to detect and improve AI-sounding text. It solves problems of AI content detection and refinement, making it ideal for applications where human-like writing is crucial. Input AI-generated text and receive a scored and editable output, making it a valuable asset in content creation workflows.

Canonical page: https://skillsregistry.net/skills/manavmishra-zeroslop  
JSON: https://api.skillsregistry.net/v1/skills/manavmishra-zeroslop

## Description

Open-source Agent Skill that finds and removes AI slop from your writing

## 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:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/manavmishra/ZeroSlop)

## 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": "manavmishra-zeroslop"
    }
  }
}
```

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