Setup & Installation
Or with the ClawHub CLI, for registry-managed skill folders outside a full OpenClaw workspace:
Version History
crypto-cog 1.0.1 - Added author and dependencies metadata for improved skill documentation. - Updated prerequisite instructions to reference the `cellcog` skill directly. - No changes to functionality or usage.
What This Skill Does
Crypto Cog applies CellCog's deep research system to crypto-specific analysis. It covers token fundamentals, DeFi protocol breakdowns, on-chain metrics, portfolio reviews, whitepaper evaluation, and smart contract risk assessment. Built on the same research framework that ranked first on DeepResearch Bench in February 2026.
Covers the full research stack, from on-chain metrics to smart contract audits to market sentiment, in a single prompt rather than querying multiple specialized tools separately.
When to use it
- Reviewing tokenomics and red flags before buying a newly launched token
- Comparing stablecoin yield strategies across Aave, Curve, and Ethena
- Assessing concentration and sector risk in an existing crypto portfolio
- Evaluating a project whitepaper for technical feasibility and credibility
- Researching whale wallet behavior and current market sentiment indicators
Example Workflow
Here's how your AI assistant might use this skill in practice.
User asks: Analyze my portfolio — 2 BTC, 15 ETH, 5000 SOL — concentration risk, correlation, and rebalancing suggestions for a 2-year hold
- 1Gathers current prices and market cap data for each asset
- 2Calculates portfolio weighting and sector concentration
- 3Analyzes correlation between holdings and historical drawdown patterns
- 4Evaluates diversification gaps and identifies rebalancing options
- 5Produces a structured report with risk assessment and allocation suggestions
Portfolio risk breakdown with concentration metrics, correlation analysis, and concrete rebalancing recommendations
Requirements
Accounts, API keys, or tools you or your AI assistant may need to set up while using this skill.