# groundwork

> Use this tool when you need to perform reliable web research with built-in fact-checking and cost optimization. It solves problems of misinformation and inefficient information gathering by providing injection resistance, claim verification, and cost-aware routing. The tool accepts research queries as input and outputs verified claims and relevant information, making it ideal for use cases requiring accurate and efficient web research.

Canonical page: https://skillsregistry.net/skills/des-sleigh-groundwork  
JSON: https://api.skillsregistry.net/v1/skills/des-sleigh-groundwork

## Description

Enables AI agents to perform grounded web research with injection resistance, claim verification, and cost-aware routing through MCP tools like web_search, fetch_url, extract_claims, and check_grounding.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/dc9cwcq6fz)
- **Repository:** <https://github.com/Des-Sleigh/groundwork>

## 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": "des-sleigh-groundwork"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/des-sleigh-groundwork` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/des-sleigh-groundwork/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