# OntoRamp Decision Intelligence

> OntoRamp Decision Intelligence — matthewdavisaiarchitect-ontoramp-decision-intelligence. Use this tool when you need to ensure transparent and governed decision-making in AI systems, as it enables logging, evaluation, and auditing of decisions against an organization's authority graph. This tool solves problems related to decision traceability, accountability, and compliance, providing a clear audit trail for governance. It takes in decision data and authority graph inputs, outputting a traceable and evaluable decision record.

Canonical page: https://skillsregistry.net/skills/matthewdavisaiarchitect-ontoramp-decision-intelligence  
JSON: https://api.skillsregistry.net/v1/skills/matthewdavisaiarchitect-ontoramp-decision-intelligence

## Description

Enables AI agents to log, evaluate, and ground consequential decisions against an organization's authority graph, creating a traceable audit trail for governance.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/hs57aknomn)
- **Repository:** <https://github.com/ontoramp/ontoramp-decision-intelligence>

## 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": "matthewdavisaiarchitect-ontoramp-decision-intelligence"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/matthewdavisaiarchitect-ontoramp-decision-intelligence` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/matthewdavisaiarchitect-ontoramp-decision-intelligence/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