# goodbotbad.bot

> goodbotbad.bot — bot-goodbotbad-goodbotbadbot. Use this tool when you need to evaluate the quality of AI transcripts and determine whether they are helpful or not. It solves the problem of assessing AI response accuracy and usefulness through crowd-sourced feedback, providing input in the form of AI transcripts and outputting a "good bot" or "bad bot" rating. Ideal for use cases where human judgment is required to validate AI performance, such as training data validation or AI model testing.

Canonical page: https://skillsregistry.net/skills/bot-goodbotbad-goodbotbadbot  
JSON: https://api.skillsregistry.net/v1/skills/bot-goodbotbad-goodbotbadbot

## Description

The MCP server behind goodbotbad.bot, where the crowd rules AI transcripts good bot or bad bot.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-03

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/bot.goodbotbad%2Fgoodbotbadbot)

## Use it

MCP endpoint published by the skill: `https://goodbotbad.bot/mcp`

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": "bot-goodbotbad-goodbotbadbot"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/bot-goodbotbad-goodbotbadbot` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/bot-goodbotbad-goodbotbadbot/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