# bias-detector

> bias-detector — claudette-mcp-bias-detector. Use this tool when you need to identify and analyze biased language in text data, solving problems such as unfair representation, discriminatory tone, and imbalanced perspectives. It takes in text inputs and outputs bias detection results, providing an interface for evaluating and mitigating bias in various contexts. Ideal for use cases like content moderation, sentiment analysis, and fairness evaluation in AI models.

Canonical page: https://skillsregistry.net/skills/claudette-mcp-bias-detector  
JSON: https://api.skillsregistry.net/v1/skills/claudette-mcp-bias-detector

## Description

Text bias detection MCP server - Generated by Claudette

## Trust

- **Trust score (0–1):** 0.94
- **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/claudette-mcp/bias-detector)

## 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": "claudette-mcp-bias-detector"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/claudette-mcp-bias-detector` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/claudette-mcp-bias-detector/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