# verity

> verity — veritylabsai-verity. Use this tool when you need to verify product-safety compliance with up-to-date, cited information from official sources. Verity provides current ground truth via MCP and REST interfaces, ensuring accurate and reliable data for AI agents. It solves problems of data uncertainty and compliance risks by delivering trusted answers with official sources.

Canonical page: https://skillsregistry.net/skills/veritylabsai-verity  
JSON: https://api.skillsregistry.net/v1/skills/veritylabsai-verity

## Description

Cited, current ground truth for AI agents - product-safety compliance via MCP + REST. Every answer carries an official source; nothing is generated.

## Trust

- **Trust score (0–1):** 0.83
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/veritylabsai/verity)

## 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": "veritylabsai-verity"
    }
  }
}
```

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