# argus

> argus — r0ptik-argus. Use this tool when you need to analyze and reverse engineer a running Windows process in memory, rather than relying on static file analysis. Argus solves problems related to understanding the actual execution flow and memory layout of a process, providing features like memory reads, disassembly, and caller-chain tracing. It takes input from a running process and outputs detailed information about its memory state, complementing tools like Ghidra and IDA.

Canonical page: https://skillsregistry.net/skills/r0ptik-argus  
JSON: https://api.skillsregistry.net/v1/skills/r0ptik-argus

## Description

Reverse engineering against a running Windows process instead of the file on disk: memory reads, pattern and value scanning, disassembly of the code that actually executed, resolved IAT thunks, caller-chain tracing, and structure recovery. Complements the Ghidra and IDA servers rather than replacing them — correlate_addr maps a runtime address back to a module and RVA.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** maps-location
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/bdvlt9t8sy)
- **Repository:** <https://github.com/r0ptik/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": "r0ptik-argus"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/r0ptik-argus` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/r0ptik-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
