# genpark-agent-self-consistency-consensus-scorer-skill

> genpark-agent-self-consistency-consensus-scorer-skill — alpha-park-genpark-agent-self-consistency-consensus-scorer-skill. Use this tool when you need to evaluate and consolidate outputs from multiple large language models (LLMs) to produce high-confidence deterministic results. It solves the problem of inconsistent or divergent reasoning trajectories by scoring and voting on consensus outputs. The tool takes in multiple LLM outputs and returns a single, aggregated result, making it ideal for applications requiring reliable and consistent decision-making.

Canonical page: https://skillsregistry.net/skills/alpha-park-genpark-agent-self-consistency-consensus-scorer-skill  
JSON: https://api.skillsregistry.net/v1/skills/alpha-park-genpark-agent-self-consistency-consensus-scorer-skill

## Description

Multi-path chain-of-thought self-consistency consensus scorer and majority voter aggregating divergent LLM reasoning trajectories into high-confidence deterministic outputs.

## Trust

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

## 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/Alpha-Park/genpark-agent-self-consistency-consensus-scorer-skill)

## 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": "alpha-park-genpark-agent-self-consistency-consensus-scorer-skill"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/alpha-park-genpark-agent-self-consistency-consensus-scorer-skill` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/alpha-park-genpark-agent-self-consistency-consensus-scorer-skill/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