# Cordum_io

> Use this tool when you need to enforce policies and ensure accountability in autonomous AI systems, requiring human approvals for high-risk decisions and maintaining a comprehensive audit trail. It solves problems of AI governance, risk management, and compliance, providing a control plane for secure and transparent AI operations. Ideal for use cases where regulatory requirements, data privacy, or business criticality demand strict oversight and control.

Canonical page: https://skillsregistry.net/skills/cordum-io-cordum  
JSON: https://api.skillsregistry.net/v1/skills/cordum-io-cordum

## Description

The Control Plane for Autonomous AI
Enforce policy before execution, require human approvals where risk demands it, and keep a full audit trail — from first action to final result.

## 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:** other
- **Updated:** 2026-04-21

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/tr3fsdu6je)
- **Repository:** <https://github.com/cordum-io/cordum>

## 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": "cordum-io-cordum"
    }
  }
}
```

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