# agentegress

> agentegress — co2water-agentegress. Use this tool when you need to monitor and analyze AI agent communications on your Windows PC, solving problems related to unknown or unauthorized connections. It provides a clear verdict on host text interactions, preventing AI agents from being misled. With git capabilities, agentegress offers a reliable interface to input and output diagnostic data.

Canonical page: https://skillsregistry.net/skills/co2water-agentegress  
JSON: https://api.skillsregistry.net/v1/skills/co2water-agentegress

## Description

See which AI agent and MCP server is talking to what on your Windows PC, with a verdict host text can't talk an AI out of

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/co2water/agentegress)

## 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": "co2water-agentegress"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/co2water-agentegress` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/co2water-agentegress/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