# argus

> argus — itachi-hue-argus. Use this tool when you need to grant AI agents full visibility and control over browser interactions, enabling automated browsing and testing. Argus solves problems of limited AI accessibility in web environments, providing a comprehensive interface for inputs and outputs. It is ideal for use cases requiring automated browser control, such as web scraping, testing, and automation, with inputs from AI agents and outputs to the browser environment.

Canonical page: https://skillsregistry.net/skills/itachi-hue-argus  
JSON: https://api.skillsregistry.net/v1/skills/itachi-hue-argus

## Description

Eyes & Hands for AI in the Browser — Chrome extension + MCP server giving AI agents full browser visibility and control

## Trust

- **Trust score (0–1):** 0.89
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## 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/itachi-hue/argus)

## 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": "itachi-hue-argus"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/itachi-hue-argus` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/itachi-hue-argus/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