# Blind-Auditor-MCP

> Use this tool when you need to ensure AI-generated code is accurate and reliable, as it solves problems of code errors and biases by forcing self-correction through prompt injection and context isolation, accepting AI model inputs and producing corrected code outputs. It is ideal for applications where code quality and transparency are crucial, such as in high-stakes decision-making or safety-critical systems. The Blind-Auditor-MCP server provides a zero-cost solution for enhancing AI code quality and trustworthiness.

Canonical page: https://skillsregistry.net/skills/sim-xia-blind-audition-mcp  
JSON: https://api.skillsregistry.net/v1/skills/sim-xia-blind-audition-mcp

## Description

A zero-cost MCP server that forces AI to self-correct code using prompt injection and context isolation.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-05-06

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/xsp48vmmz5)
- **Repository:** <https://github.com/Sim-xia/Blind-Auditor>

## 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": "sim-xia-blind-audition-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/sim-xia-blind-audition-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/sim-xia-blind-audition-mcp/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
