Analyze DeFi protocols and generate structured markdown research notes with risk scores.
npx skills add https://github.com/Eli5DeFi/Cognos --skill defi-research
Please help me install this Agent Skill. Skill: defi-research Source: https://github.com/Eli5DeFi/Cognos/tree/main/skills/defi-research Command: npx skills add https://github.com/Eli5DeFi/Cognos --skill defi-research
This Skill provides a systematic framework for researching Decentralized Finance (DeFi) protocols, enabling users to understand their architecture, tokenomics, and risks.
Use the defi-research skill to analyze the 'Uniswap V3' protocol on Ethereum with standard depth.
High-intent search queries and answers about installing and using this skill.
Analyzing DeFi protocols requires systematically evaluating their architecture, tokenomics, and risk factors. This generates structured markdown notes with embedded risk scores and executive summaries suitable for knowledge graph integration and decision support.
Researching DeFi protocols for investment decisions involves systematically evaluating identity, architecture, tokenomics, and competitive landscape. This generates detailed research notes with risk scores to inform investment decisions or further due diligence.
Assessing DeFi protocol architecture and risks requires detailed on-chain data, audit reports, and market analysis. Providing this data fulfills the comprehensive research depth needed to generate accurate risk scores and structured markdown notes.
Yes, you can generate structured markdown notes for DeFi protocol risk assessment. The analysis produces detailed research notes with embedded risk scores and executive summaries, suitable for knowledge graph integration and decision support.
Yes, DeFi protocol analysis includes competitive landscape evaluation. The systematic research framework evaluates protocol identity, architecture, tokenomics, risk factors, and competitive positioning to provide a comprehensive protocol overview.
You should not use automated DeFi protocol research when you lack detailed on-chain data, audit reports, and market analysis. The framework requires these comprehensive inputs to fulfill its research depth and generate accurate risk scores.
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