# Argus

> Use this tool when you need to analyze and secure code repositories by performing security scans and assessing code quality across multiple programming languages. Argus solves problems related to code vulnerabilities, quality, and compliance, providing insights to improve overall code health. It takes in code repositories as input and outputs detailed security and quality reports, making it ideal for use in software development and maintenance contexts.

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

## Description

A Model Context Protocol tool for analyzing code repositories, performing security scans, and assessing code quality across multiple programming languages.

## 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:** security
- **Updated:** 2026-04-22

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/emyammezhh)
- **Repository:** <https://github.com/athapong/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": "athapong-argus"
    }
  }
}
```

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

---
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