# Cruxible Core

> Use this tool when you need to make transparent and auditable decisions based on complex entity relationships. The Cruxible Core engine solves problems of data integrity and trust by generating provable receipts through Directed Acyclic Graphs (DAGs) and querying with Maximum Causal Propagation (MCP). It takes in entity graphs as input and outputs auditable proof, ideal for use cases requiring secure and explainable decision-making processes.

Canonical page: https://skillsregistry.net/skills/cruxible-ai-cruxible-core  
JSON: https://api.skillsregistry.net/v1/skills/cruxible-ai-cruxible-core

## Description

Deterministic decision engine with DAG-based receipts. Build entity graphs, query with MCP, get auditable proof.

## Trust

- **Trust score (0–1):** 0.00
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/oxvw4r44ep)
- **Repository:** <https://github.com/cruxible-ai/cruxible>

## 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": "cruxible-ai-cruxible-core"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/cruxible-ai-cruxible-core` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/cruxible-ai-cruxible-core/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