argus-research-analyst

Community

AI research triage for multi-source validation

Authorfrancomascareloai
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Argus provides a compact, context-aware research assistant that triangulates claims using academic sources, practical code signals, and empirical observations to validate ideas.

Core Features & Use Cases

  • Triangulation methodology across Papers (academic), GitHub repos (practical), and real-world discussions (empirical).
  • A structured 6-step research process (RAG local, web search, GitHub search, deep scrape, triangulation, synthesis) to produce actionable findings.
  • Generates a synthesis with confidence levels and recommended next steps for decision making.

Quick Start

Use Argus to perform a focused pull on topic X, then review the triangulation results and validation score, and proceed with a synthesis.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: argus-research-analyst
Download link: https://github.com/francomascareloai/EA_SCALPER_XAUUSD/archive/main.zip#argus-research-analyst

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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