# groundlens

> groundlens — groundlens-dev-groundlens. Use this tool when you need to verify the accuracy of generated text against source material. Groundlens proofreads model output, highlighting unsupported words and suggesting corrections based on the original sources. It takes in generated text and source data as input, producing marked-up text with corrections as output.

Canonical page: https://skillsregistry.net/skills/groundlens-dev-groundlens  
JSON: https://api.skillsregistry.net/v1/skills/groundlens-dev-groundlens

## Description

Groundlens is a proofreader for what your model writes. It marks the words your sources don't back — and shows you what each one should have said.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-04

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-04

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ql25s5tc50)
- **Repository:** <https://github.com/groundlens-dev/groundlens>

## 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": "groundlens-dev-groundlens"
    }
  }
}
```

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