# VERITAS

> Use this tool when you need to verify the accuracy and consistency of AI agent pipeline outputs across multiple models. VERITAS solves problems of data inconsistency and regulatory compliance by providing a suite of verification tools, including claim verification, schema validation, and entity resolution, with inputs of JSON data and outputs of validated results. It is ideal for use cases requiring high-confidence outputs, such as critical decision-making pipelines, where its multi-model consensus verification can ensure reliable results.

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

## Description

Multi-model consensus verification for AI agent pipelines. 5 MCP tools: verify_claim, schema_validate, json_fix, regulatory_parse, entity_resolve. MIS_GREEDY independence weighting. 800ms p95.

## Trust

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

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** devops-ci
- **Updated:** 2026-05-14

## Source

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

## 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": "rjlopezai-veritas"
    }
  }
}
```

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