# OpenPrism

> OpenPrism — ba1lly-openprism. Use this tool when you need to generate more accurate code responses by leveraging multiple models in parallel, reconciling their outputs into a single improved answer. OpenPrism solves the problem of inconsistent or incomplete code suggestions by combining the strengths of diverse models, such as Claude Code and opencode. It takes in coding queries as input and outputs a unified, judged response, making it ideal for use cases where reliability and precision are crucial, such as in git-based development projects.

Canonical page: https://skillsregistry.net/skills/ba1lly-openprism  
JSON: https://api.skillsregistry.net/v1/skills/ba1lly-openprism

## Description

Multi-model panel and judge (OpenRouter-Fusion style) for Claude Code, opencode, and any MCP host. Diverse models answer in parallel, then a judge reconciles them into one better answer.

## Trust

- **Trust score (0–1):** 0.81
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/ba1lly/OpenPrism)

## 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": "ba1lly-openprism"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ba1lly-openprism` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ba1lly-openprism/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