# validator-correlated-judgment

> validator-correlated-judgment — andyxinweiminicloud-validator-correlated-judgment. Use this tool when you need to detect correlated judgments among multiple attestation validators, helping to identify potential biases and ensure diverse perspectives. It solves problems related to validator independence and data integrity, particularly in applications where shared training data or model architectures may compromise judgment validity. The tool takes in validator data and outputs correlation assessments, aiding in the evaluation of validator reliability in various contexts.

Canonical page: https://skillsregistry.net/skills/andyxinweiminicloud-validator-correlated-judgment  
JSON: https://api.skillsregistry.net/v1/skills/andyxinweiminicloud-validator-correlated-judgment

## Description

Helps identify when multiple attestation validators share training data, model architecture, or organizational.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-05-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** other
- **Updated:** 2026-09-20

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/andyxinweiminicloud-validator-correlated-judgment)

## 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": "andyxinweiminicloud-validator-correlated-judgment"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/andyxinweiminicloud-validator-correlated-judgment` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/andyxinweiminicloud-validator-correlated-judgment/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
