# QC Validator

> Use this tool when you need to ensure the accuracy and reliability of AI agent outputs, such as detecting hallucinations or verifying output completeness. QC Validator solves problems related to quality control and error prevention in AI pipelines, catching errors before they reach downstream systems or end users. It takes AI agent outputs as input and provides validation results as output, making it an essential quality gate in agent pipelines.

Canonical page: https://skillsregistry.net/skills/mdfifty50-boop-qc-validator  
JSON: https://api.skillsregistry.net/v1/skills/mdfifty50-boop-qc-validator

## Description

QC Validator performs runtime quality validation of AI agent outputs including hallucination detection, scope compliance checks, and output completeness verification. It acts as a quality gate in agent pipelines to catch errors before they reach downstream systems or end users. The server installs as an npm package alongside other MCP tools.

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/mdfifty50-boop-qc-validator)
- **Repository:** <https://github.com/mdfifty50-boop/qc-validator-mcp>

## 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": "mdfifty50-boop-qc-validator"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/mdfifty50-boop-qc-validator` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/mdfifty50-boop-qc-validator/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