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crif

Interactive crypto deep-research framework with human-AI collaboration for superior research outcomes

Why use this skill?

Master crypto research with CRIF, an interactive framework for human-AI collaboration. Deep-dive into tokenomics, protocol tech, and market trends.

skill-install — Terminal

Install via CLI (Recommended)

clawhub install openclaw/skills/skills/kudodefi/crif
Or

What This Skill Does

The CRIF (Crypto Research Interactive Framework) skill provides a structured, highly collaborative environment for conducting deep-dive crypto asset analysis. Unlike autonomous agents that operate as "black boxes," CRIF is architected specifically for human-AI pairing. It empowers users to act as the subject matter expert while leveraging the AI to handle high-bandwidth tasks such as data gathering, synthesis, and documentation. By utilizing a modular file-based architecture, CRIF allows the AI to reference specific agent personas—such as a Tech Analyst or QA Specialist—to ensure that outputs meet professional research standards. The framework forces iterative check-ins, ensuring that every research pivot is validated by the user, thereby reducing hallucination risks and alignment drift during complex analysis tasks.

Installation

To integrate this framework into your workspace, execute the following command in your terminal: clawhub install openclaw/skills/skills/kudodefi/crif

Once installed, ensure your framework/ directory is correctly structured. The skill will automatically index the agent personas and workflows located within the installed directory, allowing you to trigger them using the @ prefix or by referencing file paths directly.

Use Cases

  • Tokenomics Due Diligence: Use the research-analyst persona to break down emission schedules, lock-up periods, and circulating supply metrics.
  • Protocol Architecture Review: Engage the technology-analyst to audit whitepapers and GitHub repositories for potential security flaws or consensus mechanism bottlenecks.
  • Market Sentiment Synthesis: Quickly aggregate disparate sources including community sentiment, social media metrics, and historical price volatility to build a holistic investment thesis.
  • Content Creation: Leverage the content-creator persona to turn technical findings into polished blog posts, newsletters, or pitch decks.

Example Prompts

  1. "@framework/agents/research-analyst.yaml - Compare the scalability tradeoffs of Solana versus Layer-2 Ethereum solutions for high-frequency trading apps."
  2. "@Research-Analyst - I'm worried about the upcoming token unlock for [Project Name]. Can you build a research plan that assesses the potential impact on liquidity and volatility?"
  3. "@QA-Specialist - Review my drafted thesis on the ZK-Rollup ecosystem. Check for technical accuracy and highlight any gaps where I need more supporting data."

Tips & Limitations

Tips: Always start by defining your core-config.yaml to ensure the agent understands your preferred risk profile and stylistic preferences. Use the 'Collaborative Mode' for initial phases to allow the AI to learn your specific research methodology; once the agent is calibrated, you can transition to more autonomous, batch-processed tasks.

Limitations: CRIF relies heavily on the quality of its input documents. If the documents/ folder in your workspace is empty or outdated, the research quality will suffer. The skill requires an active internet connection for real-time market data retrieval and is subject to the limitations of current market data APIs.

Metadata

Author@kudodefi
Stars1656
Views3
Updated2026-02-28
View Author Profile
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Add to Configuration

Paste this into your clawhub.json to enable this plugin.

{
  "plugins": {
    "official-kudodefi-crif": {
      "enabled": true,
      "auto_update": true
    }
  }
}

Tags(AI)

#crypto#research#collaboration#analysis#framework
Safety Score: 4/5

Flags: file-read, file-write, external-api