# argus

> argus — khamel83-argus. Use this tool when you need to efficiently search the web across multiple providers while managing costs, as Argus offers budget-aware routing and a generous quota of 5,000+ free monthly queries, providing a flexible interface for AI agents to input search queries and receive relevant results. It solves problems of limited search capabilities and cost optimization for AI-powered applications. Ideal for use cases requiring extensive web searches, such as data collection, research, or information gathering, with seamless integration via git.

Canonical page: https://skillsregistry.net/skills/khamel83-argus  
JSON: https://api.skillsregistry.net/v1/skills/khamel83-argus

## Description

Multi-provider web search broker for AI agents. 14 providers, budget-aware routing, content extraction — one API.

## Trust

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

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** ai-ml
- **Updated:** 2026-09-26

## Source

- **Source listing:** [GitHub](https://github.com/Khamel83/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": "khamel83-argus"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/khamel83-argus` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/khamel83-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