# io.github.stabgan/steelmind

> Use this tool when you need to critically evaluate and strengthen AI decision-making by applying structured thinking and steel-manning verification techniques to identify potential flaws and biases. It solves problems related to AI model reliability, robustness, and trustworthiness by providing a rigorous framework for testing and validating AI outputs. It takes in AI model inputs and outputs, and provides verified and robust conclusions as a result.

Canonical page: https://skillsregistry.net/skills/io-github-stabgan-steelmind  
JSON: https://api.skillsregistry.net/v1/skills/io-github-stabgan-steelmind

## Description

Structured thinking + steel-manning verification for AI agents. Backed by 43+ papers.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 2.0.1
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-04-17

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.stabgan%2Fsteelmind)
- **Repository:** <https://github.com/stabgan/steelmind-mcp>

## 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": "io-github-stabgan-steelmind"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-stabgan-steelmind` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-stabgan-steelmind/pull`

---
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