investigate

Automates multidisciplinary research via document analysis and hypothesis testing workflows.

9|1|Updated Apr 11, 2026

Search Tags:#hypothesis testing #literature review #research automation #autonomous research #proof verification #multi-stage pipeline

Ready to run

npx skills add https://github.com/SebastianElvis/reaper --skill investigate-sebastianelvis

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: investigate
Source: https://github.com/SebastianElvis/reaper/tree/main/skills/investigate
Command: npx skills add https://github.com/SebastianElvis/reaper --skill investigate-sebastianelvis

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill streamlines complex academic and technical research workflows by automating hypothesis investigation, proof verification, and analysis.

Core Features & Use Cases

Multi-stage investigation: Executes goal clarification, literature review, proof attempts, and critique automatically.
Parallel hypothesis testing: Investigates multiple hypotheses concurrently to maximize efficiency.
Use Case: Researchers can upload research questions and related papers, then let the Skill perform thorough, multi-round analysis and generate structured reports.

Quick Start

Provide a research question and optional PDF to the skill; it will autonomously manage hypothesis testing, literature searches, and proof analysis.

Frequently Asked Questions about investigate

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

FAQPage Schema

How do I automate literature review and hypothesis testing for academic research?▼

You can automate literature review and hypothesis testing by providing a research question and optional PDFs to a multi-stage pipeline. The system then autonomously manages goal clarification, literature searches, and proof analysis to generate structured reports.

Can I use Python scripts to verify cryptographic proofs and search papers automatically?▼

Yes, Python-based scripting supports automated proof verification and literature search for cryptography. It utilizes specific modules to query academic repositories and execute thorough, multi-round technical analysis.

What is parallel hypothesis investigation and how does it work for technical research?▼

Parallel hypothesis investigation concurrently tests multiple hypotheses to maximize research efficiency. This approach executes simultaneous analysis across complex technical fields like distributed systems, reducing the time needed for comprehensive validation.

Does autonomous research automation support multi-stage investigations in distributed systems?▼

Yes, autonomous research automation is suitable for complex, multi-stage investigations in distributed systems. It automatically executes workflow stages including goal clarification, literature review, proof attempts, and critique.

Do I need specific Python modules to run automated literature searches?▼

Yes, automated literature searches require Python-based scripting with specific dependencies for querying academic repositories. These modules enable the system to autonomously fetch and analyze relevant papers during the investigation pipeline.

What is the best way to structure a multi-round analysis for academic research workflows?▼

The best way to structure multi-round analysis is using an orchestrated pipeline that sequentially clarifies goals, reviews literature, attempts proofs, and critiques results. This automated workflow ensures thorough investigation and generates structured reports.