# claimtrace

> claimtrace — cognis-digital-claimtrace. Use this tool when you need to track the origin and spread of misinformation, as it generates an earliest-known appearance graph to help identify the source of false claims. This tool solves problems related to fact-checking, rumor tracking, and debunking false information by providing a visual representation of how misinformation has evolved over time. It takes in claims and outputs a graph showing the earliest known appearances of the claim, making it useful in contexts where verifying information accuracy is crucial.

Canonical page: https://skillsregistry.net/skills/cognis-digital-claimtrace  
JSON: https://api.skillsregistry.net/v1/skills/cognis-digital-claimtrace

## Description

Misinformation provenance tracer — earliest-known appearance graph

## Trust

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

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-21

## Source

- **Source listing:** [GitHub](https://github.com/cognis-digital/claimtrace)

## 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": "cognis-digital-claimtrace"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/cognis-digital-claimtrace` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/cognis-digital-claimtrace/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