argus-research-analyst

Triangulate claims across academic, GitHub, and empirical sources with confidence levels.

186|54|Updated Aug 12, 2025

Search Tags:#research #github #confidence #papers #triangulation #claims-validation #argus

Ready to run

npx skills add https://github.com/francomascareloai/EA_SCALPER_XAUUSD --skill argus-research-analyst

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: argus-research-analyst
Source: https://github.com/francomascareloai/EA_SCALPER_XAUUSD/tree/main/.factory/skills/argus
Command: npx skills add https://github.com/francomascareloai/EA_SCALPER_XAUUSD --skill argus-research-analyst

SYSTEM DOCUMENTATION & REQUIREMENTS

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.

Frequently Asked Questions about argus-research-analyst

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I validate research claims using multiple sources?▼

Validate research claims by triangulating academic papers, GitHub repositories, and online discussions to cross-reference evidence and assign confidence levels to your findings.

What is the best way to combine academic papers and GitHub repos for research?▼

Combining academic papers and GitHub repos uses triangulation to cross-validate theoretical claims against practical code signals and empirical observations, yielding a synthesized finding with confidence scores.

How does a six-step research process work for claims validation?▼

The six-step research process works by sequentially executing local RAG, web search, GitHub search, deep scraping, triangulation, and synthesis to produce actionable evidence and recommended next steps.

Can I use GitHub search to verify academic research findings?▼

Yes, you can use GitHub search to verify academic research findings by checking practical code implementations against theoretical claims, forming a triangulated validation with measurable confidence levels.

Does local RAG work with web search for topic research?▼

Local RAG works with web search as the initial steps in a structured workflow, pulling local context before querying online sources to gather comprehensive evidence for final synthesis.

When should I not use source triangulation for research validation?▼

Avoid source triangulation when research topics lack measurable practical implementations on GitHub or empirical discussions online, as the process requires all three source types to generate accurate confidence levels.