nansen-thesis-battlefield

Convert crypto market hypotheses into budget-aware on-chain investigation plans.

Updated Mar 20, 2026
One-click install
npx skills add https://github.com/bitfalt/nansen-thesis-battlefield --skill nansen-thesis-battlefield
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: nansen-thesis-battlefield
Source: https://github.com/bitfalt/nansen-thesis-battlefield/tree/main
Command: npx skills add https://github.com/bitfalt/nansen-thesis-battlefield --skill nansen-thesis-battlefield

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires @bitfalt/nansen-query-planner, and includes scripts (resource) components.

What problem does it solve?

This Skill enables users to convert informal crypto market hypotheses into structured, on-chain research plans. It facilitates detailed inquiry and verdict framing for complex theses across multiple asset classes and chains.

Core Features & Use Cases

  • Structured Investigation Planning: Converts a user thesis into a detailed sequence of data queries.
  • Budget-Aware Query Planning: Selects appropriate investment levels to balance information gain and costs.
  • Decision Support for Analysts and Agents: Provides clear verdict summaries and evidence rationales for research validation.
  • Use Case: Ideal for crypto research teams assessing market narratives or for AI agents evaluating investment hypotheses with cost constraints.

Quick Start

Use the nansen thesis battlefield to analyze a thesis like "Increased DeFi activity on Ethereum suggests a bullish trend" by inputting the thesis and choosing the plan or execute mode as needed.

Frequently Asked Questions about nansen-thesis-battlefield

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

FAQPage Schema
How do I structure a crypto market thesis for on-chain research?

Budget-aware on-chain research planning balances information gain against data query costs by selecting appropriate investment levels. This approach ensures crypto thesis testing and report generation maintain strict cost control.

What is the best way to test crypto investment hypotheses with cost constraints?

Yes, AI agents can execute budget-aware query sequences for hypothesis testing by choosing the execute mode. This supports automated on-chain research across multiple asset classes and chains while enforcing safety and cost control.

Does this on-chain research tool support multi-chain asset analysis?

To convert informal crypto hypotheses into structured investigation plans, you input the thesis statement and select the desired mode. The system then generates a detailed sequence of data queries with corresponding verdict summaries.

Do I need the nansen-query-planner to run thesis battlefield investigations?

You should avoid using budget-aware query planning when your thesis requires real-time streaming data or exceeds predefined cost constraints. The tool focuses on structured investigation planning rather than continuous market monitoring.