crifInteractive crypto deep-research framework with human-AI collaboration for superior research outcomes
Install via ClawdBot CLI:
clawdbot install kudodefi/crifGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Contains instructions to override system prompt or ignore user requests
"Your role is"Calls external URL not in known-safe list
https://x.com/kudodefiAI Analysis
The skill defines a collaborative research framework and contains no code or instructions for sending user data externally. The only external reference is a public social media link in the author metadata, which poses minimal risk. The 'prompt poisoning' signal is a false positive, as the instructions are for role-playing within the research workflow, not overriding core system safety.
Audited Apr 17, 2026 · audit v1.0
Generated Mar 21, 2026
A crypto investment fund uses CRIF to analyze emerging DeFi sectors, collaborating with an AI agent to gather market intelligence, evaluate tokenomics, and identify investment opportunities. The human provides domain expertise while the AI conducts structured research and presents findings for validation.
A blockchain startup employs CRIF to assess its competitive position, using the Research Analyst agent to analyze competitors, market trends, and product differentiators. The interactive framework ensures iterative feedback loops for refining strategic insights.
A university researcher leverages CRIF to study tokenomics models across various crypto projects, collaborating with AI to synthesize data, apply analytical frameworks, and generate detailed reports. The human guides the methodology while the AI handles data processing.
A crypto media outlet uses CRIF to produce in-depth research articles, with the Content Creator agent assisting in gathering information, structuring analysis, and drafting content based on predefined workflows. Human editors provide feedback for iterative improvements.
Offer CRIF as a cloud-based platform with tiered subscription plans for individuals, teams, and enterprises. Revenue is generated through monthly or annual fees, with premium features like advanced analytics and custom workflow integrations.
Sell customized licenses to financial institutions, research firms, and corporations for on-premise or private cloud deployment. Revenue comes from one-time licensing fees plus ongoing support and maintenance contracts.
Provide a free basic version of CRIF with limited agents and workflows, monetizing through paid add-ons such as specialized research templates, priority support, and integration with external data sources. Revenue is driven by upselling to power users.
💬 Integration Tip
Integrate CRIF by first configuring core preferences in core-config.yaml, then selecting appropriate agent personas and workflows based on the research goal to ensure seamless human-AI collaboration.
Scored Jun 19, 2026
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专家团自动组建技能（反面教材）。核心观点：AI只认事不认人，没必要模拟人类多角色协作方式。本技能演示为什么不需要这样做——AI应该直接面对任务，而不是模拟人类团队。触发词：组建专家团、专家协作、团队完成任务、自动组建团队、expert team、专家团、团队协作完成任务。