# as-a-judge

> Use this tool when you need to ensure safer and higher-quality code generation by enforcing evidence-based research and human validation. It solves problems of ambiguous decision-making and low-quality code by combining task-centric workflow enforcement with explicit LLM-based validations and human-in-the-loop elicitation. This tool takes in AI-generated code and task requirements as inputs and outputs validated, high-quality code that meets human-approved standards.

Canonical page: https://skillsregistry.net/skills/othervibes-as-a-judge  
JSON: https://api.skillsregistry.net/v1/skills/othervibes-as-a-judge

## Description

A behavioral MCP that strengthens AI coding assistants by requiring explicit LLM evaluations. Combines task-centric workflow enforcement (plan, code, test, completion) with explicit LLM-based validations and human-in-the-loop elicitation. Acts as a validation layer to ensure safer and higher-quality code by enforcing evidence-based research, reuse over reinvention, and human approval for ambiguous decisions.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/othervibes-as-a-judge)
- **Repository:** <https://github.com/othervibes/mcp-as-a-judge>

## 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": "othervibes-as-a-judge"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/othervibes-as-a-judge` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/othervibes-as-a-judge/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