# Veroq

> Use this tool when you need to verify information and evidence for decision-making or inquiry, as it provides a trust protocol for agentic AI with capabilities to ask questions, stream answers, and return full evidence chains with source quotes and confidence breakdowns. It solves problems of information uncertainty and trustworthiness, allowing users to validate data with credible sources. Inputs include natural language queries, with outputs featuring LLM-powered summaries and detailed evidence reports.

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

## Description

The trust protocol for agentic AI. Ask anything, verify everything — with evidence.

  New: /ask now streams via SSE with 41 intents and LLM-powered summaries. /verify returns full
  evidence chains with source quotes, URLs, and confidence breakdowns.

## Trust

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

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-05-13

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/Veroq/veroq)

## 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": "veroq-veroq"
    }
  }
}
```

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

---
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