crypto-cog

What This Skill Does

Crypto-cog is a specialized research agent designed for the 24/7 cryptocurrency landscape. Ranked #1 on DeepResearch Bench (Feb 2026), it leverages advanced reasoning models to conduct in-depth analysis on tokens, decentralized finance (DeFi) protocols, and market sentiment. Whether you are performing institutional-grade due diligence or evaluating degen plays, this skill parses vast amounts of on-chain data, whitepapers, and market metrics to provide actionable insights. It serves as your primary intelligence unit for tracking narratives, project fundamentals, and smart contract risks.

Installation

To use crypto-cog, you must first have the cellcog skill installed for API and SDK support. Run the following command in your terminal:

clawhub install cellcog
clawhub install openclaw/skills/skills/nitishgargiitd/crypto-cog

Ensure your OpenClaw environment is configured correctly. The skill utilizes asynchronous processing, allowing you to trigger deep research tasks without blocking your main agent loop.

Use Cases

• Tokenomics Audits: Evaluate supply schedules, inflation, and value accrual mechanisms for new and established tokens.
• Protocol Deep Dives: Analyze DeFi platforms for yield mechanics, governance structures, and risk parameters.
• Risk Assessment: Perform smart contract reviews, check audit statuses, and investigate historical TVL performance.
• Comparative Research: Benchmark L2 ecosystems against L1 networks based on transaction volume, developer activity, and fee structures.

Example Prompts

1. "Analyze the current tokenomics of Arbitrum: detail the supply schedule, potential inflation risks, and how governance power is distributed among stakeholders."
2. "Evaluate the smart contract risks for this new DEX: research the team background, confirm if a third-party audit exists, and examine its historical TVL to identify red flags."
3. "Create a comparative report between Lido, Rocket Pool, and Coinbase's cbETH, focusing on yield stability, historical risk-adjusted returns, and centralization tradeoffs."

Tips & Limitations

• Asynchronous Workflow: Always use the create_chat pattern with notify_session_key. The analysis is intensive and should be treated as a daemon task.
• Data Freshness: While the model accesses live market data, always cross-verify high-value transactions on block explorers.
• Scope: This tool provides research assistance and market analysis; it does not execute trades. Always treat its output as supplementary to your own financial diligence.