cirf

What This Skill Does

The CIRF (Crypto Interactive Research Framework) is a specialized OpenClaw skill designed to transform AI agents into collaborative partners for high-stakes crypto analysis. Unlike traditional autonomous agents that often operate in a black box, CIRF enforces a "Human-AI Pair Research" philosophy. It provides a structured directory-based architecture that manages agent personas, research workflows, and project workspaces, ensuring that every insight is context-aware and verifiable. The framework is built to handle complex tasks like technical deep dives, market sentiment analysis, and project due diligence by maintaining a stateful dialogue between the user and the AI.

Installation

To integrate CIRF into your OpenClaw environment, execute the following command in your terminal: clawhub install openclaw/skills/skills/kudodefi/cirf Once installed, ensure your local directory structure mirrors the provided framework schema to enable the agent to load persona definitions and workflow templates correctly.

Use Cases

• Fundamental Asset Due Diligence: Use the Research-Analyst persona to decompose whitepapers, tokenomics, and governance models into actionable insights.
• Technical Architecture Review: Utilize the Technology-Analyst to audit smart contract design patterns and blockchain scalability metrics.
• Market Sentiment Analysis: Leverage the collaboration loop to synthesize multi-source news data into coherent, risk-adjusted summaries.
• Content Synthesis: Work with the Content-Creator to produce high-fidelity investment memos or educational threads based on research findings.

Example Prompts

1. "@Research-Analyst - Conduct a risk-reward analysis of the recent Ethereum L2 ecosystem shift, focusing on data availability layers."
2. "@Technology-Analyst - Review the whitepaper in /workspaces/arbitrum-research/documents/ and check for common reentrancy attack vectors."
3. "@Content-Creator - Based on our previous findings on Layer 2 performance, draft a Twitter thread explaining the implications for retail users."

Tips & Limitations

• Collaborative Flow: Always start by clarifying your objectives. The framework works best when you provide initial constraints or specific sources.
• Validation: Treat the AI's output as a draft. Always use the 'QA-Specialist' persona to verify technical claims before moving to critical decision-making stages.
• Constraint: CIRF requires an organized workspace directory. Keeping your documents and configuration files updated is essential for consistent agent performance.