# ReasonForge

> ReasonForge — euuuuuuan-reasonforge-public. Use this tool when you need to apply rigorous and systematic reasoning to complex problems, leveraging 8 MCP tools to ensure deterministic and evidence-based decision-making. It solves problems related to critical thinking, planning, and evaluation, providing a structured approach to intake, routing, and verdict gate management. With inputs of complex data and uncertain information, ReasonForge outputs informed verdicts and evaluations, making it ideal for high-stakes decision-making contexts.

Canonical page: https://skillsregistry.net/skills/euuuuuuan-reasonforge-public  
JSON: https://api.skillsregistry.net/v1/skills/euuuuuuan-reasonforge-public

## Description

Provides 8 MCP tools for deterministic, read-only reasoning: intake, routing, planning, rubric, sweep checklist, verdict gate, reflection, and evaluation. It forces scope locks, disconfirmation-first plans, blind-spot sweeps, and evidence-gated verdicts.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/y7i5cm6z9l)
- **Repository:** <https://github.com/euuuuuuan/reasonforge-public>

## 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": "euuuuuuan-reasonforge-public"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/euuuuuuan-reasonforge-public` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/euuuuuuan-reasonforge-public/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
