crypto-cog

The market never sleeps, and neither does your analysis. #1 on DeepResearch Bench (Feb 2026) applied to crypto — token deep-dives, on-chain metrics, DeFi pro...

Security Scan

The skill's requested resources and instructions are consistent with its stated purpose (crypto research) and it does not ask for unrelated credentials or installs; review the dependent 'cellcog' skill and avoid sharing private keys or secrets when using it.

Purpose & Capability

The name/description promise deep crypto research and the SKILL.md contains instructions to perform token, DeFi, on-chain, whitepaper, and contract analysis. It declares a dependency on the 'cellcog' skill which is referenced for SDK/chat calls — this matches the stated purpose. No unrelated environment variables, binaries, or config paths are requested.

Instruction Scope

Instructions are high-level and instruct the agent to use the cellcog client.create_chat pattern and to perform web/on-chain research. They do not ask the agent to read local files or environment variables, but they are open-ended about where to fetch data (public APIs, block explorers, social feeds). That broad discretion is expected for a research skill but worth noting because it implies network access and arbitrary web queries.

Install Mechanism

No install spec or code files are present (instruction-only), so nothing will be downloaded or written by this skill itself. The README instructs users to install the external 'cellcog' skill via 'clawhub install cellcog' — review that skill's install behavior separately.

Credentials

This skill does not request any environment variables or credentials, which is proportionate. However many crypto tasks (on-chain metrics, exchange APIs, portfolio reviews) can require API keys or wallet access; any such needs would likely come from the cellcog dependency or from the agent runtime. Verify that you are not prompted to provide private keys or exchange API secrets when using it.

Persistence & Privilege

The skill is not configured as always:true and does not declare persistent/system-wide changes. It is user-invocable and can be autonomously invoked (platform default) but it does not request elevated system presence or modify other skills.

Assessment

This skill appears internally consistent for crypto research, but before installing: (1) inspect the referenced 'cellcog' skill — it may request API keys or have install actions; (2) never paste private keys or exchange API secrets into prompts or the agent unless you fully trust and reviewed what will store/transmit them; (3) expect the agent to make network requests to public APIs and web sources to gather on-chain and social data — if you need to limit data exfiltration, run the skill in a restricted environment; (4) if the skill offers to generate dashboards or upload reports, confirm where those outputs are stored/shared. If you want more assurance, share the cellcog skill manifest for review as well.

Crypto Cog - Deep Research for a 24/7 Market

The market never sleeps, and neither does your analysis. #1 on DeepResearch Bench (Feb 2026) applied to crypto.

Crypto moves fast. Narratives shift overnight. New protocols launch daily. You need research depth that keeps pace with a market that never closes. CellCog brings the same deep reasoning that tops financial research benchmarks — now applied to tokens, DeFi, on-chain data, and the entire Web3 landscape. From degen plays to institutional due diligence, one prompt covers it all.

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Prerequisites

This skill requires the cellcog skill for SDK setup and API calls.

clawhub install cellcog

Read the cellcog skill first for SDK setup. This skill shows you what's possible.

Quick pattern (v1.0+):

# Fire-and-forget - returns immediately
result = client.create_chat(
    prompt="[your crypto research request]",
    notify_session_key="agent:main:main",
    task_label="crypto-analysis",
    chat_mode="agent team"  # Agent team for deep crypto research
)
# Daemon notifies you when complete - do NOT poll

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What Crypto Research You Can Do

Token Analysis

Deep dives into any token or project:

• Fundamental Analysis: "Analyze Solana — technology, ecosystem growth, validator economics, and competitive positioning vs Ethereum L2s"
• Tokenomics Review: "Break down Arbitrum's tokenomics — supply schedule, inflation, governance power, and value accrual mechanisms"
• New Token Research: "Research this new AI token that just launched — team, backers, tokenomics, red flags, and honest assessment"
• Comparative Analysis: "Compare L2 solutions: Arbitrum vs Optimism vs Base vs zkSync — TVL, transactions, developer activity, and token performance"

Example prompt:

"Create a comprehensive analysis of Ethereum's current state:

Cover:

• Network metrics: TVL, daily transactions, gas trends, staking ratio
• Post-merge economics: ETH supply dynamics, burn rate, is it deflationary?
• L2 ecosystem impact on mainnet revenue
• Competitor positioning vs Solana, Avalanche, Cosmos
• Key upcoming catalysts and risks
• Bull and bear thesis for the next 12 months

Deliver as an interactive HTML report with charts."

DeFi Protocol Research

Understand protocols before you ape in:

• Protocol Deep Dives: "Analyze Aave V3 — how it works, risk parameters, yield mechanics, and governance"
• Yield Analysis: "Compare yield opportunities across Lido, Rocket Pool, and Coinbase cbETH — risks, returns, and tradeoffs"
• Risk Assessment: "Evaluate the smart contract risk of this new DEX — audit status, TVL history, team background"
• Ecosystem Mapping: "Map the Cosmos ecosystem — key protocols, IBC activity, and where value is concentrating"

Example prompt:

"Research Uniswap V4:

• What's new vs V3? Hook system explained
• Impact on LP profitability
• Fee switch status and UNI token value accrual
• Volume and market share trends
• Competition from aggregators and new DEXes
• Developer adoption of the hooks framework

Clear, no-BS analysis. I want to understand if the upgrade actually matters."

On-Chain & Market Intelligence

Data-driven market understanding:

• Whale Tracking: "What are the largest ETH wallets doing this month? Accumulating or distributing?"
• Market Sentiment: "Analyze current crypto market sentiment — funding rates, Fear & Greed index, social activity, and exchange flows"
• Narrative Research: "What are the emerging crypto narratives for this quarter? AI tokens, RWA, DePIN — which have substance?"
• Exchange Analysis: "Compare DEX vs CEX volume trends over the last 6 months — is DeFi gaining share?"

Portfolio & Strategy

Manage your crypto positions:

• Portfolio Review: "Analyze my portfolio: 50% ETH, 20% SOL, 15% LINK, 10% ARB, 5% PEPE — diversification, risk, and rebalancing suggestions"
• Entry/Exit Strategy: "Help me think through an accumulation strategy for Bitcoin at current prices — DCA schedule, key levels, position sizing"
• Tax Optimization: "Research crypto tax strategies for US residents — harvest losses, long-term vs short-term, staking income treatment"
• Risk Management: "Design a risk framework for a $100K crypto portfolio — position sizing, stop losses, correlation analysis"

Whitepaper & Smart Contract Analysis

Due diligence on new projects:

• Whitepaper Review: "Analyze this project's whitepaper — is the technology feasible? Are the claims realistic? Red flags?"
• Smart Contract Evaluation: "Review the security profile of this protocol — audits, bug bounties, incident history, code quality indicators"
• Team Research: "Research the founding team of this new L1 — backgrounds, previous projects, VC backers, credibility assessment"
• Comparison Research: "This new protocol claims to be better than Aave. Analyze their claims vs reality."

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Output Formats

Format	Best For
Interactive HTML Dashboard	Token dashboards with charts, metrics, drill-downs
PDF Report	Shareable research reports and investment memos
XLSX Spreadsheet	Portfolio trackers, tokenomics models, yield comparisons
Markdown	Quick analysis for integration into your notes

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Chat Mode for Crypto

Scenario	Recommended Mode
Quick price checks, simple token lookups, basic metrics	"agent"
Deep token analysis, DeFi research, ecosystem mapping, portfolio strategy	"agent team"
Institutional due diligence, high-stakes portfolio decisions, regulatory analysis	"agent team max"

Use "agent team" for most crypto research. The crypto space requires synthesizing information from many sources — protocol docs, on-chain data, market analysis, social sentiment. Agent team mode delivers the multi-source depth that serious crypto research demands.

Use "agent" for quick lookups — current prices, basic metrics, or simple factual questions.

Use "agent team max" for institutional-grade crypto work — fund-level due diligence, high-stakes portfolio rebalancing, regulatory compliance research, or any crypto analysis where significant capital is at risk. All settings maxed for the deepest reasoning. Requires ≥2,000 credits.

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Example Prompts

Token deep dive:

"Create a full research report on Chainlink (LINK):

• Oracle technology explained simply
• CCIP and its implications for cross-chain DeFi
• Staking economics — real yields, participation rate
• Competition: Pyth, API3, Band — does Chainlink's moat hold?
• Revenue model and path to sustainability
• Token price performance vs fundamentals

Honest assessment. I want to know both the bull case and what could go wrong."

DeFi yield research:

"Compare the best yield opportunities for stablecoins right now:

• Aave/Compound lending
• Curve/Convex liquidity provision
• Ethena sUSDe
• Sky (MakerDAO) savings rate
• RWA-backed yields

For each: current APY, risk level, lock-up requirements, smart contract risk, and minimum recommended allocation.

I have $50K in USDC. What's the optimal split for risk-adjusted yield?"

Market narrative analysis:

"Research the current state of AI tokens (TAO, RENDER, FET, NEAR, etc.):

• What's the actual thesis for AI x Crypto?
• Which projects have real usage vs pure narrative?
• On-chain metrics: users, transactions, revenue
• VC activity and funding in this sector
• Is this the next DeFi Summer or the next metaverse hype?

Give me the honest picture. I want signal, not hype."

Portfolio assessment:

"Review my crypto portfolio and help me optimize:

Holdings: 2 BTC, 15 ETH, 5000 SOL, 10000 LINK, 50000 ARB Total value: ~$300K Risk tolerance: Moderate (I can handle 30% drawdowns but not 70%) Time horizon: 2+ years

Analyze: concentration risk, correlation, sector exposure, and suggest rebalancing. Should I add any positions for better diversification?"

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Tips for Better Crypto Research

1. Be specific about what you need: "Analyze SOL" is broad. "Analyze Solana's network performance and validator economics post-Firedancer" is focused.

2. State your experience level: "I'm new to DeFi" vs "I understand impermanent loss" changes the depth of explanation.

3. Mention your purpose: "For a $10K investment decision" vs "For a research article" shapes the output.

4. Ask for honest assessments: CellCog doesn't shill. Explicitly asking "what could go wrong?" gets you balanced analysis.

5. Timeframe matters: "Next month" vs "next 2 years" leads to very different analysis.

6. Don't trust, verify: Use CellCog's research as a starting point. Always verify on-chain data with primary sources before making financial decisions.