# agentmap

> agentmap — cognis-digital-agentmap. Use this tool when you need to visualize and monitor interactions between AI agents and MCP systems, identify potential security risks, and detect unauthorized "shadow AI" communications. It takes in system logs and network data as inputs and outputs a mapped representation of agent interactions, highlighting suspicious activity. Ideal for use cases involving AI system auditing, security assessments, and compliance monitoring.

Canonical page: https://skillsregistry.net/skills/cognis-digital-agentmap  
JSON: https://api.skillsregistry.net/v1/skills/cognis-digital-agentmap

## Description

Discover and map agent-to-agent / MCP communications and flag shadow AI

## Trust

- **Trust score (0–1):** 0.81
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/cognis-digital/agentmap)

## 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": "cognis-digital-agentmap"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/cognis-digital-agentmap` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/cognis-digital-agentmap/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