{"id":"44c70de0-bf7f-42d8-869f-9e41b49239e1","entityType":"agent","slug":"clawhub-cellcog-crypto-research-cellcog","name":"Crypto Research","canonicalUrl":"https://www.xpersona.co/agent/clawhub-cellcog-crypto-research-cellcog","canonicalPath":"/agent/clawhub-cellcog-crypto-research-cellcog","generatedAt":"2026-10-09T14:03:57.564Z","source":"CLAWHUB","claimStatus":"UNCLAIMED","verificationTier":"NONE","summary":{"evidence":{"source":"editorial-content","verified":true,"confidence":"high","updatedAt":"2026-10-09T04:18:19.972Z","emptyReason":null},"description":"AI crypto research and analysis powered by CellCog. Token deep-dives, on-chain metrics, DeFi protocol breakdowns, wallet portfolio reviews, market sentiment, whitepaper analysis, smart contract evaluation. Comprehensive crypto intelligence from a single prompt. Skill: Crypto Research Owner: cellcog Summary: AI crypto research and analysis powered by CellCog. Token deep-dives, on-chain metrics, DeFi protocol breakdowns, wallet portfolio reviews, market sentiment, whitepaper analysis, smart contract evaluation. Comprehensive crypto intelligence from a single prompt. Tags: latest:1.0.17 Version history: v1.0.17 | 2026-08-24T02:03:19.100Z | user Content updated. v1.0.16 | 2026-","descriptionLabel":"Technical summary","evidenceSummary":"Capability contract not published. No trust telemetry is available yet. 5.2K downloads reported by the source. 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Token deep-dives, on-chain metrics, DeFi protocol breakdowns, wallet portfolio reviews, market sentiment, whitepaper analysis, smart contract evaluation. Comprehensive crypto intelligence from a single prompt.\n\nTags: latest:1.0.17\n\nVersion history:\n\nv1.0.17 | 2026-08-24T02:03:19.100Z | user\n\nContent updated.\n\nv1.0.16 | 2026-08-24T01:48:03.252Z | user\n\nContent updated.\n\nv1.0.15 | 2026-08-03T06:07:57.990Z | user\n\nContent updated.\n\nv1.0.14 | 2026-08-02T22:04:54.850Z | user\n\nDisplay title updated.\n\nv1.0.13 | 2026-07-22T15:57:31.328Z | auto\n\ncrypto-research-cellcog 1.0.13\n\n- Skill name updated from \"crypto-cog\" to \"crypto-research-cellcog\" for clarity and branding consistency.\n- Minor content and formatting adjustments in SKILL.md.\n- Removed the skill-card.md file to reduce redundancy.\n\nv1.0.12 | 2026-04-23T06:18:43.242Z | auto\n\n- Added minimum requirements to SKILL.md: Python 3 must be available and the CELLCOG_API_KEY environment variable is required.\n- No other changes to functionality or usage.\n\nv1.0.11 | 2026-04-14T17:32:00.580Z | auto\n\n- Updated skill description for improved clarity and conciseness.\n- Refined agent usage examples in the \"How to Use\" section for better guidance, especially on agent compatibility.\n- No changes to research features, use cases, or output formatsβonly documentation and instructions improved.\n\nv1.0.10 | 2026-04-13T01:00:34.162Z | auto\n\n- Updated the description in SKILL.md for improved clarity and conciseness.\n- Enhanced the usage example for agent integration with code import guidance.\n- No changes to core functionality; documentation and onboarding clarity improved.\n\nv1.0.9 | 2026-04-12T23:35:10.786Z | auto\n\n**Changelog for version 1.0.9:**\n\n- SKILL.md has been rewritten for conciseness and clarity.\n- Shorter description and streamlined introduction.\n- Simplified usage instructions with updated code samples.\n- Pruned and re-organized sections for easier navigation.\n- No changes to functionality; documentation only.\n\nv1.0.8 | 2026-04-08T05:57:46.655Z | auto\n\n- Major SKILL.md rewrite focused on conciseness and practical crypto use cases\n- Modernized description: emphasizes real-time, deep crypto research covering tokens, DeFi, on-chain data, and portfolio strategy\n- Added detailed prompt examples for token analysis, DeFi, market intelligence, portfolio review, and smart contract research\n- Clarified and expanded output format options (HTML dashboard, PDF, XLSX, Markdown)\n- Updated chat mode recommendations for different crypto research scenarios (agent, agent team, agent team max)\n- Removed outdated text for improved clarity and user guidance\n\nv1.0.7 | 2026-04-06T05:06:58.062Z | auto\n\n- Updated description and documentation for clarity and brevity.\n- Added a summary of internal capabilities, including multi-source crypto research and report generation.\n- Streamlined usage instructions and removed lengthy example prompts.\n- Clarified supported research types and recommended chat modes.\n- Linked to related skills for expanded research and analysis.\n\nv1.0.6 | 2026-04-03T01:43:12.974Z | auto\n\n- Updated SDK usage instructions in the \"Prerequisites\" section, adding specific guidance for OpenClaw agents (fire-and-forget) with the notify_session_key parameter.\n- Clarified which `client.create_chat` method to use for OpenClaw versus other agents.\n- Cleaned up references to delivery modes and file handling, now directing users to the cellcog skill for full API reference.\n- No functionality or feature changes to the research capabilities or output formats.\n- Documentation improvement only; no impact on user workflows outside SDK setup.\n\nv1.0.5 | 2026-04-03T00:07:37.408Z | auto\n\n- Simplified the \"Quick start\" SDK usage example for easier onboarding.\n- Updated setup instructions to reference the main cellcog skill for advanced usage details.\n- Clarified that all advanced API features (delivery modes, messaging, timeouts, file handling) are documented in the cellcog skill documentation.\n- No changes to research capabilities or supported output formats.\n\nv1.0.4 | 2026-04-02T03:33:37.302Z | auto\n\n- Updated DeepResearch Bench leaderboard reference from Feb 2026 to Apr 2026 in the description and introduction.\n- No functional or feature changes; documentation text only.\n\nv1.0.3 | 2026-03-27T04:17:10.847Z | auto\n\n- Added operating system compatibility metadata (darwin, linux, windows) to SKILL.md.\n- Included homepage URL (https://cellcog.ai) in SKILL.md metadata.\n\nv1.0.2 | 2026-03-19T02:52:43.924Z | user\n\n- Added a new recommended chat mode: \"agent team max\" for institutional-grade crypto analysis and high-stakes research.\n- Updated instructions to clarify scenarios for each chat mode, including use cases and credit requirements for advanced research.\n- No changes to underlying code or SDK integration. Documentation enhancement only.\n\nv1.0.1 | 2026-02-11T01:39:54.338Z | user\n\ncrypto-cog 1.0.1\n\n- Added author and dependencies metadata for improved skill documentation.\n- Updated prerequisite instructions to reference the `cellcog` skill directly.\n- No changes to functionality or usage.\n\nv1.0.0 | 2026-02-08T00:42:40.489Z | auto\n\ncrypto-cog v1.0.0\n\n- Initial release of advanced crypto research skill based on DeepResearch Bench-topping methodology.\n- Supports deep dives into tokens, DeFi protocols, on-chain metrics, portfolio review, market sentiment, and whitepaper/smart contract analysis.\n- Offers multiple output formats: interactive HTML dashboards, PDF reports, XLSX models, and Markdown summaries.\n- Features \"agent team\" mode for multi-source, high-depth crypto research and \"agent\" mode for quick lookups.\n- Includes detailed example prompts for a wide range of crypto research tasks.\n\nArchive index:\n\nArchive v1.0.17: 3 files, 6149 bytes\n\nFiles: skill-card.md (2212b), SKILL.md (9669b), _meta.json (143b)\n\nFile v1.0.17:SKILL.md\n\n---\nname: crypto-research-cellcog\ndescription: \"AI crypto research and analysis powered by CellCog. Token deep-dives, on-chain metrics, DeFi protocol breakdowns, wallet portfolio reviews, market sentiment, whitepaper analysis, smart contract evaluation. Comprehensive crypto intelligence from a single prompt.\"\nmetadata:\n openclaw:\n emoji: \"πͺ\"\n os: [darwin, linux, windows]\n requires:\n bins: [python3]\n env: [CELLCOG_API_KEY]\nauthor: CellCog\nhomepage: https://cellcog.ai\ndependencies: [cellcog]\n---\n# Crypto Research - Deep Research for a 24/7 Market\n\n**The market never sleeps, and neither does your analysis.** #1 on DeepResearch Bench (Apr 2026) applied to crypto.\n\nCrypto 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 β 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.\n\n## How to Use\n\nFor your first CellCog task in a session, read the **cellcog** skill for the full SDK reference β file handling, chat modes, timeouts, and more.\n\n**OpenClaw (fire-and-forget):**\n```python\nresult = client.create_chat(\n prompt=\"[your task prompt]\",\n notify_session_key=\"agent:main:main\",\n task_label=\"my-task\",\n chat_mode=\"team\",\n)\n```\n\n**All agents except OpenClaw (blocks until done):**\n```python\nfrom cellcog import CellCogClient\nclient = CellCogClient(agent_provider=\"openclaw|cursor|claude-code|codex|...\")\nresult = client.create_chat(\n prompt=\"[your task prompt]\",\n task_label=\"my-task\",\n chat_mode=\"team\",\n)\nprint(result[\"message\"])\n```\n\n\n---\n\n## What Crypto Research You Can Do\n\n### Token Analysis\n\nDeep dives into any token or project:\n\n- **Fundamental Analysis**: \"Analyze Solana β technology, ecosystem growth, validator economics, and competitive positioning vs Ethereum L2s\"\n- **Tokenomics Review**: \"Break down Arbitrum's tokenomics β supply schedule, inflation, governance power, and value accrual mechanisms\"\n- **New Token Research**: \"Research this new AI token that just launched β team, backers, tokenomics, red flags, and honest assessment\"\n- **Comparative Analysis**: \"Compare L2 solutions: Arbitrum vs Optimism vs Base vs zkSync β TVL, transactions, developer activity, and token performance\"\n\n**Example prompt:**\n> \"Create a comprehensive analysis of Ethereum's current state:\n> \n> Cover:\n> - Network metrics: TVL, daily transactions, gas trends, staking ratio\n> - Post-merge economics: ETH supply dynamics, burn rate, is it deflationary?\n> - L2 ecosystem impact on mainnet revenue\n> - Competitor positioning vs Solana, Avalanche, Cosmos\n> - Key upcoming catalysts and risks\n> - Bull and bear thesis for the next 12 months\n> \n> Deliver as an interactive HTML report with charts.\"\n\n### DeFi Protocol Research\n\nUnderstand protocols before you ape in:\n\n- **Protocol Deep Dives**: \"Analyze Aave V3 β how it works, risk parameters, yield mechanics, and governance\"\n- **Yield Analysis**: \"Compare yield opportunities across Lido, Rocket Pool, and Coinbase cbETH β risks, returns, and tradeoffs\"\n- **Risk Assessment**: \"Evaluate the smart contract risk of this new DEX β audit status, TVL history, team background\"\n- **Ecosystem Mapping**: \"Map the Cosmos ecosystem β key protocols, IBC activity, and where value is concentrating\"\n\n**Example prompt:**\n> \"Research Uniswap V4:\n> \n> - What's new vs V3? Hook system explained\n> - Impact on LP profitability\n> - Fee switch status and UNI token value accrual\n> - Volume and market share trends\n> - Competition from aggregators and new DEXes\n> - Developer adoption of the hooks framework\n> \n> Clear, no-BS analysis. I want to understand if the upgrade actually matters.\"\n\n### On-Chain & Market Intelligence\n\nData-driven market understanding:\n\n- **Whale Tracking**: \"What are the largest ETH wallets doing this month? Accumulating or distributing?\"\n- **Market Sentiment**: \"Analyze current crypto market sentiment β funding rates, Fear & Greed index, social activity, and exchange flows\"\n- **Narrative Research**: \"What are the emerging crypto narratives for this quarter? AI tokens, RWA, DePIN β which have substance?\"\n- **Exchange Analysis**: \"Compare DEX vs CEX volume trends over the last 6 months β is DeFi gaining share?\"\n\n### Portfolio & Strategy\n\nManage your crypto positions:\n\n- **Portfolio Review**: \"Analyze my portfolio: 50% ETH, 20% SOL, 15% LINK, 10% ARB, 5% PEPE β diversification, risk, and rebalancing suggestions\"\n- **Entry/Exit Strategy**: \"Help me think through an accumulation strategy for Bitcoin at current prices β DCA schedule, key levels, position sizing\"\n- **Tax Optimization**: \"Research crypto tax strategies for US residents β harvest losses, long-term vs short-term, staking income treatment\"\n- **Risk Management**: \"Design a risk framework for a $100K crypto portfolio β position sizing, stop losses, correlation analysis\"\n\n### Whitepaper & Smart Contract Analysis\n\nDue diligence on new projects:\n\n- **Whitepaper Review**: \"Analyze this project's whitepaper β is the technology feasible? Are the claims realistic? Red flags?\"\n- **Smart Contract Evaluation**: \"Review the security profile of this protocol β audits, bug bounties, incident history, code quality indicators\"\n- **Team Research**: \"Research the founding team of this new L1 β backgrounds, previous projects, VC backers, credibility assessment\"\n- **Comparison Research**: \"This new protocol claims to be better than Aave. Analyze their claims vs reality.\"\n\n---\n\n## Output Formats\n\n| Format | Best For |\n|--------|----------|\n| **Interactive HTML Dashboard** | Token dashboards with charts, metrics, drill-downs |\n| **PDF Report** | Shareable research reports and investment memos |\n| **XLSX Spreadsheet** | Portfolio trackers, tokenomics models, yield comparisons |\n| **Markdown** | Quick analysis for integration into your notes |\n\n---\n\n## Choosing Mode & Tier\n\n**Use `chat_mode=\"team\"` β this is exactly what Agent Team exists for.** Deep research is THE Team use case: multi-source synthesis, cross-validation, citation verification, multiple reasoning passes.\n\n| Scenario | Recommended |\n|----------|-------------|\n| Token analysis, DeFi research, ecosystem mapping | `chat_mode=\"team\"` (default tier `\"core\"`) |\n| Institutional due diligence, high-stakes portfolio decisions | `chat_mode=\"team\", chat_tier=\"max\"` (requires >=2,000 credits) |\n| Quick lookups, simple summaries | `chat_mode=\"agent\"` |\n\nLegacy names `\"agent team\"` / `\"agent team max\"` still work forever (they map to team core / team max).\n\n---\n\n## Example Prompts\n\n**Token deep dive:**\n> \"Create a full research report on Chainlink (LINK):\n> \n> - Oracle technology explained simply\n> - CCIP and its implications for cross-chain DeFi\n> - Staking economics β real yields, participation rate\n> - Competition: Pyth, API3, Band β does Chainlink's moat hold?\n> - Revenue model and path to sustainability\n> - Token price performance vs fundamentals\n> \n> Honest assessment. I want to know both the bull case and what could go wrong.\"\n\n**DeFi yield research:**\n> \"Compare the best yield opportunities for stablecoins right now:\n> \n> - Aave/Compound lending\n> - Curve/Convex liquidity provision\n> - Ethena sUSDe\n> - Sky (MakerDAO) savings rate\n> - RWA-backed yields\n> \n> For each: current APY, risk level, lock-up requirements, smart contract risk, and minimum recommended allocation.\n> \n> I have $50K in USDC. What's the optimal split for risk-adjusted yield?\"\n\n**Market narrative analysis:**\n> \"Research the current state of AI tokens (TAO, RENDER, FET, NEAR, etc.):\n> \n> - What's the actual thesis for AI x Crypto?\n> - Which projects have real usage vs pure narrative?\n> - On-chain metrics: users, transactions, revenue\n> - VC activity and funding in this sector\n> - Is this the next DeFi Summer or the next metaverse hype?\n> \n> Give me the honest picture. I want signal, not hype.\"\n\n**Portfolio assessment:**\n> \"Review my crypto portfolio and help me optimize:\n> \n> Holdings: 2 BTC, 15 ETH, 5000 SOL, 10000 LINK, 50000 ARB\n> Total value: ~$300K\n> Risk tolerance: Moderate (I can handle 30% drawdowns but not 70%)\n> Time horizon: 2+ years\n> \n> Analyze: concentration risk, correlation, sector exposure, and suggest rebalancing.\n> Should I add any positions for better diversification?\"\n\n---\n\n## Tips for Better Crypto Research\n\n1. **Be specific about what you need**: \"Analyze SOL\" is broad. \"Analyze Solana's network performance and validator economics post-Firedancer\" is focused.\n\n2. **State your experience level**: \"I'm new to DeFi\" vs \"I understand impermanent loss\" changes the depth of explanation.\n\n3. **Mention your purpose**: \"For a $10K investment decision\" vs \"For a research article\" shapes the output.\n\n4. **Ask for honest assessments**: CellCog doesn't shill. Explicitly asking \"what could go wrong?\" gets you balanced analysis.\n\n5. **Timeframe matters**: \"Next month\" vs \"next 2 years\" leads to very different analysis.\n\n6. **Don't trust, verify**: Use CellCog's research as a starting point. Always verify on-chain data with primary sources before making financial decisions.\n\n---\n\n## If CellCog is not installed\n\n**Claude Code, Cursor, Codex + 70 more agents:** `npx skills add cellcog/skills --skill cellcog`\n**OpenClaw:** `openclaw skills install @cellcog/cellcog`\n**CellCog plugin users:** run `/cellcog-setup` (or `/cellcog:cellcog-setup` depending on your tool)\n**Manual setup:** `pip install -U cellcog` and set `CELLCOG_API_KEY`. See the **cellcog** skill for SDK reference.\n\nFile v1.0.17:_meta.json\n\n{\n \"ownerId\": \"kn7a96cj9q65e0bhmzahv790en80ffqm\",\n \"slug\": \"crypto-research-cellcog\",\n \"version\": \"1.0.17\",\n \"publishedAt\": 1787536999100\n}\n\nFile v1.0.17:skill-card.md\n\n## Description:\n\nAI crypto research and analysis powered by CellCog for token deep-dives, on-chain metrics, DeFi protocol breakdowns, wallet portfolio reviews, market sentiment, whitepaper analysis, and smart contract evaluation.\n\nThis skill is ready for commercial/non-commercial use.\n\n## Publisher:\n\n[cellcog](https://clawhub.ai/user/cellcog)\n\n### License/Terms of Use:\n\nMIT-0\n\n## Use Case:\n\nDevelopers, analysts, and external users use this skill to delegate crypto research tasks to CellCog, including token analysis, DeFi due diligence, on-chain market intelligence, portfolio review, whitepaper analysis, and smart contract evaluation.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: Sensitive crypto portfolio or wallet details could be exposed through prompts.\n\nMitigation: Use ranges or redacted examples and avoid submitting wallet addresses, exact balances, account identifiers, or full portfolio values unless necessary.\n\nRisk: Research output may be incorrect or unsuitable for financial, tax, or investment decisions.\n\nMitigation: Independently verify research, on-chain data, and any financial or tax conclusions before acting.\n\nRisk: Upgrade-style installation commands may pull unreviewed package changes.\n\nMitigation: Verify the CellCog package/source before installation and consider pinning a reviewed version.\n\n## Reference(s):\n\n- [Crypto Research on ClawHub](https://clawhub.ai/cellcog/skills/crypto-research-cellcog)\n- [CellCog homepage](https://cellcog.ai)\n\n## Skill Output:\n\n**Output Type(s):** [Text, Markdown, Code, Shell commands, Configuration, Guidance]\n\n**Output Format:** [Markdown with inline code blocks and optional report, dashboard, spreadsheet, or PDF guidance]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [May propose CellCog SDK calls and requires CELLCOG_API_KEY for execution.]\n\n## Skill Version(s):\n\n1.0.17 (source: server release evidence)\n\n## Ethical Considerations:\n\nUsers should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.\n\nArchive v1.0.16: 3 files, 6174 bytes\n\nFiles: skill-card.md (2239b), SKILL.md (9652b), _meta.json (143b)\n\nFile v1.0.16:SKILL.md\n\n---\nname: crypto-research-cellcog\ndescription: \"AI crypto research and analysis powered by CellCog. Token deep-dives, on-chain metrics, DeFi protocol breakdowns, wallet portfolio reviews, market sentiment, whitepaper analysis, smart contract evaluation. Comprehensive crypto intelligence from a single prompt.\"\nmetadata:\n openclaw:\n emoji: \"πͺ\"\n os: [darwin, linux, windows]\n requires:\n bins: [python3]\n env: [CELLCOG_API_KEY]\nauthor: CellCog\nhomepage: https://cellcog.ai\ndependencies: [cellcog]\n---\n# Crypto Research - Deep Research for a 24/7 Market\n\n**The market never sleeps, and neither does your analysis.** #1 on DeepResearch Bench (Apr 2026) applied to crypto.\n\nCrypto 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 β 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.\n\n## How to Use\n\nFor your first CellCog task in a session, read the **cellcog** skill for the full SDK reference β file handling, chat modes, timeouts, and more.\n\n**OpenClaw (fire-and-forget):**\n```python\nresult = client.create_chat(\n prompt=\"[your task prompt]\",\n notify_session_key=\"agent:main:main\",\n task_label=\"my-task\",\n chat_mode=\"team\",\n)\n```\n\n**All agents except OpenClaw (blocks until done):**\n```python\nfrom cellcog import CellCogClient\nclient = CellCogClient(agent_provider=\"openclaw|cursor|claude-code|codex|...\")\nresult = client.create_chat(\n prompt=\"[your task prompt]\",\n task_label=\"my-task\",\n chat_mode=\"team\",\n)\nprint(result[\"message\"])\n```\n\n\n---\n\n## What Crypto Research You Can Do\n\n### Token Analysis\n\nDeep dives into any token or project:\n\n- **Fundamental Analysis**: \"Analyze Solana β technology, ecosystem growth, validator economics, and competitive positioning vs Ethereum L2s\"\n- **Tokenomics Review**: \"Break down Arbitrum's tokenomics β supply schedule, inflation, governance power, and value accrual mechanisms\"\n- **New Token Research**: \"Research this new AI token that just launched β team, backers, tokenomics, red flags, and honest assessment\"\n- **Comparative Analysis**: \"Compare L2 solutions: Arbitrum vs Optimism vs Base vs zkSync β TVL, transactions, developer activity, and token performance\"\n\n**Example prompt:**\n> \"Create a comprehensive analysis of Ethereum's current state:\n> \n> Cover:\n> - Network metrics: TVL, daily transactions, gas trends, staking ratio\n> - Post-merge economics: ETH supply dynamics, burn rate, is it deflationary?\n> - L2 ecosystem impact on mainnet revenue\n> - Competitor positioning vs Solana, Avalanche, Cosmos\n> - Key upcoming catalysts and risks\n> - Bull and bear thesis for the next 12 months\n> \n> Deliver as an interactive HTML report with charts.\"\n\n### DeFi Protocol Research\n\nUnderstand protocols before you ape in:\n\n- **Protocol Deep Dives**: \"Analyze Aave V3 β how it works, risk parameters, yield mechanics, and governance\"\n- **Yield Analysis**: \"Compare yield opportunities across Lido, Rocket Pool, and Coinbase cbETH β risks, returns, and tradeoffs\"\n- **Risk Assessment**: \"Evaluate the smart contract risk of this new DEX β audit status, TVL history, team background\"\n- **Ecosystem Mapping**: \"Map the Cosmos ecosystem β key protocols, IBC activity, and where value is concentrating\"\n\n**Example prompt:**\n> \"Research Uniswap V4:\n> \n> - What's new vs V3? Hook system explained\n> - Impact on LP profitability\n> - Fee switch status and UNI token value accrual\n> - Volume and market share trends\n> - Competition from aggregators and new DEXes\n> - Developer adoption of the hooks framework\n> \n> Clear, no-BS analysis. I want to understand if the upgrade actually matters.\"\n\n### On-Chain & Market Intelligence\n\nData-driven market understanding:\n\n- **Whale Tracking**: \"What are the largest ETH wallets doing this month? Accumulating or distributing?\"\n- **Market Sentiment**: \"Analyze current crypto market sentiment β funding rates, Fear & Greed index, social activity, and exchange flows\"\n- **Narrative Research**: \"What are the emerging crypto narratives for this quarter? AI tokens, RWA, DePIN β which have substance?\"\n- **Exchange Analysis**: \"Compare DEX vs CEX volume trends over the last 6 months β is DeFi gaining share?\"\n\n### Portfolio & Strategy\n\nManage your crypto positions:\n\n- **Portfolio Review**: \"Analyze my portfolio: 50% ETH, 20% SOL, 15% LINK, 10% ARB, 5% PEPE β diversification, risk, and rebalancing suggestions\"\n- **Entry/Exit Strategy**: \"Help me think through an accumulation strategy for Bitcoin at current prices β DCA schedule, key levels, position sizing\"\n- **Tax Optimization**: \"Research crypto tax strategies for US residents β harvest losses, long-term vs short-term, staking income treatment\"\n- **Risk Management**: \"Design a risk framework for a $100K crypto portfolio β position sizing, stop losses, correlation analysis\"\n\n### Whitepaper & Smart Contract Analysis\n\nDue diligence on new projects:\n\n- **Whitepaper Review**: \"Analyze this project's whitepaper β is the technology feasible? Are the claims realistic? Red flags?\"\n- **Smart Contract Evaluation**: \"Review the security profile of this protocol β audits, bug bounties, incident history, code quality indicators\"\n- **Team Research**: \"Research the founding team of this new L1 β backgrounds, previous projects, VC backers, credibility assessment\"\n- **Comparison Research**: \"This new protocol claims to be better than Aave. Analyze their claims vs reality.\"\n\n---\n\n## Output Formats\n\n| Format | Best For |\n|--------|----------|\n| **Interactive HTML Dashboard** | Token dashboards with charts, metrics, drill-downs |\n| **PDF Report** | Shareable research reports and investment memos |\n| **XLSX Spreadsheet** | Portfolio trackers, tokenomics models, yield comparisons |\n| **Markdown** | Quick analysis for integration into your notes |\n\n---\n\n## Choosing Mode & Tier\n\n**Use `chat_mode=\"team\"` β this is exactly what Agent Team exists for.** Deep research is THE Team use case: multi-source synthesis, cross-validation, citation verification, multiple reasoning passes.\n\n| Scenario | Recommended |\n|----------|-------------|\n| Token analysis, DeFi research, ecosystem mapping | `chat_mode=\"team\"` (default tier `\"core\"`) |\n| Institutional due diligence, high-stakes portfolio decisions | `chat_mode=\"team\", chat_tier=\"max\"` (requires >=2,000 credits) |\n| Quick lookups, simple summaries | `chat_mode=\"agent\"` |\n\nLegacy names `\"agent team\"` / `\"agent team max\"` still work forever (they map to team core / team max).\n\n---\n\n## Example Prompts\n\n**Token deep dive:**\n> \"Create a full research report on Chainlink (LINK):\n> \n> - Oracle technology explained simply\n> - CCIP and its implications for cross-chain DeFi\n> - Staking economics β real yields, participation rate\n> - Competition: Pyth, API3, Band β does Chainlink's moat hold?\n> - Revenue model and path to sustainability\n> - Token price performance vs fundamentals\n> \n> Honest assessment. I want to know both the bull case and what could go wrong.\"\n\n**DeFi yield research:**\n> \"Compare the best yield opportunities for stablecoins right now:\n> \n> - Aave/Compound lending\n> - Curve/Convex liquidity provision\n> - Ethena sUSDe\n> - Sky (MakerDAO) savings rate\n> - RWA-backed yields\n> \n> For each: current APY, risk level, lock-up requirements, smart contract risk, and minimum recommended allocation.\n> \n> I have $50K in USDC. What's the optimal split for risk-adjusted yield?\"\n\n**Market narrative analysis:**\n> \"Research the current state of AI tokens (TAO, RENDER, FET, NEAR, etc.):\n> \n> - What's the actual thesis for AI x Crypto?\n> - Which projects have real usage vs pure narrative?\n> - On-chain metrics: users, transactions, revenue\n> - VC activity and funding in this sector\n> - Is this the next DeFi Summer or the next metaverse hype?\n> \n> Give me the honest picture. I want signal, not hype.\"\n\n**Portfolio assessment:**\n> \"Review my crypto portfolio and help me optimize:\n> \n> Holdings: 2 BTC, 15 ETH, 5000 SOL, 10000 LINK, 50000 ARB\n> Total value: ~$300K\n> Risk tolerance: Moderate (I can handle 30% drawdowns but not 70%)\n> Time horizon: 2+ years\n> \n> Analyze: concentration risk, correlation, sector exposure, and suggest rebalancing.\n> Should I add any positions for better diversification?\"\n\n---\n\n## Tips for Better Crypto Research\n\n1. **Be specific about what you need**: \"Analyze SOL\" is broad. \"Analyze Solana's network performance and validator economics post-Firedancer\" is focused.\n\n2. **State your experience level**: \"I'm new to DeFi\" vs \"I understand impermanent loss\" changes the depth of explanation.\n\n3. **Mention your purpose**: \"For a $10K investment decision\" vs \"For a research article\" shapes the output.\n\n4. **Ask for honest assessments**: CellCog doesn't shill. Explicitly asking \"what could go wrong?\" gets you balanced analysis.\n\n5. **Timeframe matters**: \"Next month\" vs \"next 2 years\" leads to very different analysis.\n\n6. **Don't trust, verify**: Use CellCog's research as a starting point. Always verify on-chain data with primary sources before making financial decisions.\n\n---\n\n## If CellCog is not installed\n\n**Claude Code, Cursor, Codex + 70 more agents:** `npx skills add cellcog/skills --skill cellcog`\n**OpenClaw:** `clawhub install cellcog`\n**CellCog plugin users:** run `/cellcog-setup` (or `/cellcog:cellcog-setup` depending on your tool)\n**Manual setup:** `pip install -U cellcog` and set `CELLCOG_API_KEY`. See the **cellcog** skill for SDK reference.\n\nFile v1.0.16:_meta.json\n\n{\n \"ownerId\": \"kn7a96cj9q65e0bhmzahv790en80ffqm\",\n \"slug\": \"crypto-research-cellcog\",\n \"version\": \"1.0.16\",\n \"publishedAt\": 1787536083252\n}\n\nFile v1.0.16:skill-card.md\n\n## Description:\n\nCrypto Research helps agents perform CellCog-powered research on tokens, DeFi protocols, on-chain metrics, market sentiment, whitepapers, smart contracts, and crypto portfolios.\n\nThis skill is ready for commercial/non-commercial use.\n\n## Publisher:\n\n[cellcog](https://clawhub.ai/user/cellcog)\n\n### License/Terms of Use:\n\nMIT-0\n\n## Use Case:\n\nExternal users, developers, and analysts use this skill to request crypto market research, token and DeFi protocol analysis, portfolio reviews, whitepaper analysis, and smart contract risk summaries through CellCog.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: Prompts may include sensitive financial, wallet, tax, private-key, or confidential project information.\n\nMitigation: Use anonymized allocations, ranges, and public links; do not provide private keys, seed phrases, wallet addresses, account identifiers, tax records, unpublished contracts, or confidential audit materials unless CellCog is intended to process them.\n\nRisk: Crypto research outputs may be incomplete, outdated, or unsuitable as the sole basis for financial decisions.\n\nMitigation: Treat results as research support, verify market and on-chain data with primary sources, and apply independent review before acting on investment, tax, or security conclusions.\n\n## Reference(s):\n\n- [ClawHub Crypto Research skill page](https://clawhub.ai/cellcog/skills/crypto-research-cellcog)\n- [CellCog homepage](https://cellcog.ai)\n\n## Skill Output:\n\n**Output Type(s):** [Text, Markdown, Code, Shell commands, Configuration, Guidance]\n\n**Output Format:** [Markdown guidance with Python API examples; requested research outputs may include HTML reports, PDF reports, XLSX spreadsheets, or Markdown.]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [Requires python3 and CELLCOG_API_KEY; uses CellCog for external crypto research.]\n\n## Skill Version(s):\n\n1.0.16 (source: server release evidence)\n\n## Ethical Considerations:\n\nUsers should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.\n\nArchive v1.0.15: 3 files, 6333 bytes\n\nFiles: skill-card.md (2605b), SKILL.md (10013b), _meta.json (143b)\n\nFile v1.0.15:SKILL.md\n\n---\nname: crypto-research-cellcog\ndescription: \"AI crypto research and analysis powered by CellCog. Token deep-dives, on-chain metrics, DeFi protocol breakdowns, wallet portfolio reviews, market sentiment, whitepaper analysis, smart contract evaluation. Comprehensive crypto intelligence from a single prompt.\"\nmetadata:\n openclaw:\n emoji: \"πͺ\"\n os: [darwin, linux, windows]\n requires:\n bins: [python3]\n env: [CELLCOG_API_KEY]\nauthor: CellCog\nhomepage: https://cellcog.ai\ndependencies: [cellcog]\n---\n# Crypto Research - Deep Research for a 24/7 Market\n\n**The market never sleeps, and neither does your analysis.** #1 on DeepResearch Bench (Apr 2026) applied to crypto.\n\nCrypto 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 β 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.\n\n## How to Use\n\nFor your first CellCog task in a session, read the **cellcog** skill for the full SDK reference β file handling, chat modes, timeouts, and more.\n\n**OpenClaw (fire-and-forget):**\n```python\nresult = client.create_chat(\n prompt=\"[your task prompt]\",\n notify_session_key=\"agent:main:main\",\n task_label=\"my-task\",\n chat_mode=\"agent\",\n)\n```\n\n**All agents except OpenClaw (blocks until done):**\n```python\nfrom cellcog import CellCogClient\nclient = CellCogClient(agent_provider=\"openclaw|cursor|claude-code|codex|...\")\nresult = client.create_chat(\n prompt=\"[your task prompt]\",\n task_label=\"my-task\",\n chat_mode=\"agent\",\n)\nprint(result[\"message\"])\n```\n\n\n---\n\n## What Crypto Research You Can Do\n\n### Token Analysis\n\nDeep dives into any token or project:\n\n- **Fundamental Analysis**: \"Analyze Solana β technology, ecosystem growth, validator economics, and competitive positioning vs Ethereum L2s\"\n- **Tokenomics Review**: \"Break down Arbitrum's tokenomics β supply schedule, inflation, governance power, and value accrual mechanisms\"\n- **New Token Research**: \"Research this new AI token that just launched β team, backers, tokenomics, red flags, and honest assessment\"\n- **Comparative Analysis**: \"Compare L2 solutions: Arbitrum vs Optimism vs Base vs zkSync β TVL, transactions, developer activity, and token performance\"\n\n**Example prompt:**\n> \"Create a comprehensive analysis of Ethereum's current state:\n> \n> Cover:\n> - Network metrics: TVL, daily transactions, gas trends, staking ratio\n> - Post-merge economics: ETH supply dynamics, burn rate, is it deflationary?\n> - L2 ecosystem impact on mainnet revenue\n> - Competitor positioning vs Solana, Avalanche, Cosmos\n> - Key upcoming catalysts and risks\n> - Bull and bear thesis for the next 12 months\n> \n> Deliver as an interactive HTML report with charts.\"\n\n### DeFi Protocol Research\n\nUnderstand protocols before you ape in:\n\n- **Protocol Deep Dives**: \"Analyze Aave V3 β how it works, risk parameters, yield mechanics, and governance\"\n- **Yield Analysis**: \"Compare yield opportunities across Lido, Rocket Pool, and Coinbase cbETH β risks, returns, and tradeoffs\"\n- **Risk Assessment**: \"Evaluate the smart contract risk of this new DEX β audit status, TVL history, team background\"\n- **Ecosystem Mapping**: \"Map the Cosmos ecosystem β key protocols, IBC activity, and where value is concentrating\"\n\n**Example prompt:**\n> \"Research Uniswap V4:\n> \n> - What's new vs V3? Hook system explained\n> - Impact on LP profitability\n> - Fee switch status and UNI token value accrual\n> - Volume and market share trends\n> - Competition from aggregators and new DEXes\n> - Developer adoption of the hooks framework\n> \n> Clear, no-BS analysis. I want to understand if the upgrade actually matters.\"\n\n### On-Chain & Market Intelligence\n\nData-driven market understanding:\n\n- **Whale Tracking**: \"What are the largest ETH wallets doing this month? Accumulating or distributing?\"\n- **Market Sentiment**: \"Analyze current crypto market sentiment β funding rates, Fear & Greed index, social activity, and exchange flows\"\n- **Narrative Research**: \"What are the emerging crypto narratives for this quarter? AI tokens, RWA, DePIN β which have substance?\"\n- **Exchange Analysis**: \"Compare DEX vs CEX volume trends over the last 6 months β is DeFi gaining share?\"\n\n### Portfolio & Strategy\n\nManage your crypto positions:\n\n- **Portfolio Review**: \"Analyze my portfolio: 50% ETH, 20% SOL, 15% LINK, 10% ARB, 5% PEPE β diversification, risk, and rebalancing suggestions\"\n- **Entry/Exit Strategy**: \"Help me think through an accumulation strategy for Bitcoin at current prices β DCA schedule, key levels, position sizing\"\n- **Tax Optimization**: \"Research crypto tax strategies for US residents β harvest losses, long-term vs short-term, staking income treatment\"\n- **Risk Management**: \"Design a risk framework for a $100K crypto portfolio β position sizing, stop losses, correlation analysis\"\n\n### Whitepaper & Smart Contract Analysis\n\nDue diligence on new projects:\n\n- **Whitepaper Review**: \"Analyze this project's whitepaper β is the technology feasible? Are the claims realistic? Red flags?\"\n- **Smart Contract Evaluation**: \"Review the security profile of this protocol β audits, bug bounties, incident history, code quality indicators\"\n- **Team Research**: \"Research the founding team of this new L1 β backgrounds, previous projects, VC backers, credibility assessment\"\n- **Comparison Research**: \"This new protocol claims to be better than Aave. Analyze their claims vs reality.\"\n\n---\n\n## Output Formats\n\n| Format | Best For |\n|--------|----------|\n| **Interactive HTML Dashboard** | Token dashboards with charts, metrics, drill-downs |\n| **PDF Report** | Shareable research reports and investment memos |\n| **XLSX Spreadsheet** | Portfolio trackers, tokenomics models, yield comparisons |\n| **Markdown** | Quick analysis for integration into your notes |\n\n---\n\n## Chat Mode for Crypto\n\n| Scenario | Recommended Mode |\n|----------|------------------|\n| Quick price checks, simple token lookups, basic metrics | `\"agent\"` |\n| Deep token analysis, DeFi research, ecosystem mapping, portfolio strategy | `\"agent team\"` |\n| Institutional due diligence, high-stakes portfolio decisions, regulatory analysis | `\"agent team max\"` |\n\n**Use `\"agent team\"` for most crypto research.** The crypto space requires synthesizing information from many sources β protocol docs, on-chain data, market analysis, social sentiment. Agent team mode delivers the multi-source depth that serious crypto research demands.\n\n**Use `\"agent\"` for quick lookups** β current prices, basic metrics, or simple factual questions.\n\n**Use `\"agent team max\"` for institutional-grade crypto work** β 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 β₯2,000 credits.\n\n---\n\n## Example Prompts\n\n**Token deep dive:**\n> \"Create a full research report on Chainlink (LINK):\n> \n> - Oracle technology explained simply\n> - CCIP and its implications for cross-chain DeFi\n> - Staking economics β real yields, participation rate\n> - Competition: Pyth, API3, Band β does Chainlink's moat hold?\n> - Revenue model and path to sustainability\n> - Token price performance vs fundamentals\n> \n> Honest assessment. I want to know both the bull case and what could go wrong.\"\n\n**DeFi yield research:**\n> \"Compare the best yield opportunities for stablecoins right now:\n> \n> - Aave/Compound lending\n> - Curve/Convex liquidity provision\n> - Ethena sUSDe\n> - Sky (MakerDAO) savings rate\n> - RWA-backed yields\n> \n> For each: current APY, risk level, lock-up requirements, smart contract risk, and minimum recommended allocation.\n> \n> I have $50K in USDC. What's the optimal split for risk-adjusted yield?\"\n\n**Market narrative analysis:**\n> \"Research the current state of AI tokens (TAO, RENDER, FET, NEAR, etc.):\n> \n> - What's the actual thesis for AI x Crypto?\n> - Which projects have real usage vs pure narrative?\n> - On-chain metrics: users, transactions, revenue\n> - VC activity and funding in this sector\n> - Is this the next DeFi Summer or the next metaverse hype?\n> \n> Give me the honest picture. I want signal, not hype.\"\n\n**Portfolio assessment:**\n> \"Review my crypto portfolio and help me optimize:\n> \n> Holdings: 2 BTC, 15 ETH, 5000 SOL, 10000 LINK, 50000 ARB\n> Total value: ~$300K\n> Risk tolerance: Moderate (I can handle 30% drawdowns but not 70%)\n> Time horizon: 2+ years\n> \n> Analyze: concentration risk, correlation, sector exposure, and suggest rebalancing.\n> Should I add any positions for better diversification?\"\n\n---\n\n## Tips for Better Crypto Research\n\n1. **Be specific about what you need**: \"Analyze SOL\" is broad. \"Analyze Solana's network performance and validator economics post-Firedancer\" is focused.\n\n2. **State your experience level**: \"I'm new to DeFi\" vs \"I understand impermanent loss\" changes the depth of explanation.\n\n3. **Mention your purpose**: \"For a $10K investment decision\" vs \"For a research article\" shapes the output.\n\n4. **Ask for honest assessments**: CellCog doesn't shill. Explicitly asking \"what could go wrong?\" gets you balanced analysis.\n\n5. **Timeframe matters**: \"Next month\" vs \"next 2 years\" leads to very different analysis.\n\n6. **Don't trust, verify**: Use CellCog's research as a starting point. Always verify on-chain data with primary sources before making financial decisions.\n\n---\n\n## If CellCog is not installed\n\n**Claude Code, Cursor, Codex + 70 more agents:** `npx skills add cellcog/skills --skill cellcog`\n**OpenClaw:** `clawhub install cellcog`\n**CellCog plugin users:** run `/cellcog-setup` (or `/cellcog:cellcog-setup` depending on your tool)\n**Manual setup:** `pip install -U cellcog` and set `CELLCOG_API_KEY`. See the **cellcog** skill for SDK reference.\n\nFile v1.0.15:_meta.json\n\n{\n \"ownerId\": \"kn7a96cj9q65e0bhmzahv790en80ffqm\",\n \"slug\": \"crypto-research-cellcog\",\n \"version\": \"1.0.15\",\n \"publishedAt\": 1785737277990\n}\n\nFile v1.0.15:skill-card.md\n\n## Description:
\nAI crypto research and analysis powered by CellCog, covering token deep-dives, on-chain metrics, DeFi protocol breakdowns, wallet portfolio reviews, market sentiment, whitepaper analysis, and smart contract evaluation.
\n\nThis skill is ready for commercial/non-commercial use.
\n\n## Publisher:
\n[cellcog](https://clawhub.ai/user/cellcog)
\n\n### License/Terms of Use:
\nMIT-0
\n\n\n## Use Case:
\nExternal users and developers use this skill to request crypto research, market analysis, DeFi due diligence, portfolio review, and strategy guidance through CellCog. It is intended as a research aid whose outputs should be checked against primary market, protocol, and on-chain sources before acting.
\n\n### Deployment Geography for Use:
\nGlobal
\n\n## Known Risks and Mitigations:
\nRisk: Users may send precise or identifying portfolio information, wallet addresses, exchange account details, seed phrases, or private keys to CellCog while requesting crypto research.
\nMitigation: Use rounded percentages, synthetic examples, or coarse value ranges, and do not share seed phrases, private keys, wallet addresses, exchange account details, or other identifying information.
\nRisk: Crypto research outputs can be stale, incomplete, or unsuitable for high-stakes financial decisions without independent verification.
\nMitigation: Treat the skill output as a research starting point and verify prices, on-chain data, protocol claims, tax assumptions, and smart contract risk with primary sources before acting.
\n\n\n## Reference(s):
\n- [CellCog](https://cellcog.ai)
\n- [Crypto Research on ClawHub](https://clawhub.ai/cellcog/skills/crypto-research-cellcog)
\n- [CellCog Publisher Profile](https://clawhub.ai/user/cellcog)
\n\n\n## Skill Output:
\n**Output Type(s):** [text, markdown, code, configuration, guidance]
\n**Output Format:** [Markdown or generated research artifacts such as HTML dashboards, PDF reports, and XLSX spreadsheets when requested]
\n**Output Parameters:** [1D]
\n**Other Properties Related to Output:** [Requires python3 and CELLCOG_API_KEY; responses may use CellCog agent, agent team, or agent team max chat modes depending on task depth.]
\n\n## Skill Version(s):
\n1.0.15 (source: server release evidence)
\n\n## Ethical Considerations:
\nUsers should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.
\n\nArchive v1.0.14: 3 files, 6196 bytes\n\nFiles: skill-card.md (2287b), SKILL.md (9938b), _meta.json (143b)\n\nFile v1.0.14:SKILL.md\n\n---\nname: crypto-research-cellcog\ndescription: \"AI crypto research and analysis powered by CellCog. Token deep-dives, on-chain metrics, DeFi protocol breakdowns, wallet portfolio reviews, market sentiment, whitepaper analysis, smart contract evaluation. Comprehensive crypto intelligence from a single prompt.\"\nmetadata:\n openclaw:\n emoji: \"πͺ\"\n os: [darwin, linux, windows]\n requires:\n bins: [python3]\n env: [CELLCOG_API_KEY]\nauthor: CellCog\nhomepage: https://cellcog.ai\ndependencies: [cellcog]\n---\n# Crypto Research - Deep Research for a 24/7 Market\n\n**The market never sleeps, and neither does your analysis.** #1 on DeepResearch Bench (Apr 2026) applied to crypto.\n\nCrypto 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 β 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.\n\n## How to Use\n\nFor your first CellCog task in a session, read the **cellcog** skill for the full SDK reference β file handling, chat modes, timeouts, and more.\n\n**OpenClaw (fire-and-forget):**\n```python\nresult = client.create_chat(\n prompt=\"[your task prompt]\",\n notify_session_key=\"agent:main:main\",\n task_label=\"my-task\",\n chat_mode=\"agent\",\n)\n```\n\n**All agents except OpenClaw (blocks until done):**\n```python\nfrom cellcog import CellCogClient\nclient = CellCogClient(agent_provider=\"openclaw|cursor|claude-code|codex|...\")\nresult = client.create_chat(\n prompt=\"[your task prompt]\",\n task_label=\"my-task\",\n chat_mode=\"agent\",\n)\nprint(result[\"message\"])\n```\n\n\n---\n\n## What Crypto Research You Can Do\n\n### Token Analysis\n\nDeep dives into any token or project:\n\n- **Fundamental Analysis**: \"Analyze Solana β technology, ecosystem growth, validator economics, and competitive positioning vs Ethereum L2s\"\n- **Tokenomics Review**: \"Break down Arbitrum's tokenomics β supply schedule, inflation, governance power, and value accrual mechanisms\"\n- **New Token Research**: \"Research this new AI token that just launched β team, backers, tokenomics, red flags, and honest assessment\"\n- **Comparative Analysis**: \"Compare L2 solutions: Arbitrum vs Optimism vs Base vs zkSync β TVL, transactions, developer activity, and token performance\"\n\n**Example prompt:**\n> \"Create a comprehensive analysis of Ethereum's current state:\n> \n> Cover:\n> - Network metrics: TVL, daily transactions, gas trends, staking ratio\n> - Post-merge economics: ETH supply dynamics, burn rate, is it deflationary?\n> - L2 ecosystem impact on mainnet revenue\n> - Competitor positioning vs Solana, Avalanche, Cosmos\n> - Key upcoming catalysts and risks\n> - Bull and bear thesis for the next 12 months\n> \n> Deliver as an interactive HTML report with charts.\"\n\n### DeFi Protocol Research\n\nUnderstand protocols before you ape in:\n\n- **Protocol Deep Dives**: \"Analyze Aave V3 β how it works, risk parameters, yield mechanics, and governance\"\n- **Yield Analysis**: \"Compare yield opportunities across Lido, Rocket Pool, and Coinbase cbETH β risks, returns, and tradeoffs\"\n- **Risk Assessment**: \"Evaluate the smart contract risk of this new DEX β audit status, TVL history, team background\"\n- **Ecosystem Mapping**: \"Map the Cosmos ecosystem β key protocols, IBC activity, and where value is concentrating\"\n\n**Example prompt:**\n> \"Research Uniswap V4:\n> \n> - What's new vs V3? Hook system explained\n> - Impact on LP profitability\n> - Fee switch status and UNI token value accrual\n> - Volume and market share trends\n> - Competition from aggregators and new DEXes\n> - Developer adoption of the hooks framework\n> \n> Clear, no-BS analysis. I want to understand if the upgrade actually matters.\"\n\n### On-Chain & Market Intelligence\n\nData-driven market understanding:\n\n- **Whale Tracking**: \"What are the largest ETH wallets doing this month? Accumulating or distributing?\"\n- **Market Sentiment**: \"Analyze current crypto market sentiment β funding rates, Fear & Greed index, social activity, and exchange flows\"\n- **Narrative Research**: \"What are the emerging crypto narratives for this quarter? AI tokens, RWA, DePIN β which have substance?\"\n- **Exchange Analysis**: \"Compare DEX vs CEX volume trends over the last 6 months β is DeFi gaining share?\"\n\n### Portfolio & Strategy\n\nManage your crypto positions:\n\n- **Portfolio Review**: \"Analyze my portfolio: 50% ETH, 20% SOL, 15% LINK, 10% ARB, 5% PEPE β diversification, risk, and rebalancing suggestions\"\n- **Entry/Exit Strategy**: \"Help me think through an accumulation strategy for Bitcoin at current prices β DCA schedule, key levels, position sizing\"\n- **Tax Optimization**: \"Research crypto tax strategies for US residents β harvest losses, long-term vs short-term, staking income treatment\"\n- **Risk Management**: \"Design a risk framework for a $100K crypto portfolio β position sizing, stop losses, correlation analysis\"\n\n### Whitepaper & Smart Contract Analysis\n\nDue diligence on new projects:\n\n- **Whitepaper Review**: \"Analyze this project's whitepaper β is the technology feasible? Are the claims realistic? Red flags?\"\n- **Smart Contract Evaluation**: \"Review the security profile of this protocol β audits, bug bounties, incident history, code quality indicators\"\n- **Team Research**: \"Research the founding team of this new L1 β backgrounds, previous projects, VC backers, credibility assessment\"\n- **Comparison Research**: \"This new protocol claims to be better than Aave. Analyze their claims vs reality.\"\n\n---\n\n## Output Formats\n\n| Format | Best For |\n|--------|----------|\n| **Interactive HTML Dashboard** | Token dashboards with charts, metrics, drill-downs |\n| **PDF Report** | Shareable research reports and investment memos |\n| **XLSX Spreadsheet** | Portfolio trackers, tokenomics models, yield comparisons |\n| **Markdown** | Quick analysis for integration into your notes |\n\n---\n\n## Chat Mode for Crypto\n\n| Scenario | Recommended Mode |\n|----------|------------------|\n| Quick price checks, simple token lookups, basic metrics | `\"agent\"` |\n| Deep token analysis, DeFi research, ecosystem mapping, portfolio strategy | `\"agent team\"` |\n| Institutional due diligence, high-stakes portfolio decisions, regulatory analysis | `\"agent team max\"` |\n\n**Use `\"agent team\"` for most crypto research.** The crypto space requires synthesizing information from many sources β protocol docs, on-chain data, market analysis, social sentiment. Agent team mode delivers the multi-source depth that serious crypto research demands.\n\n**Use `\"agent\"` for quick lookups** β current prices, basic metrics, or simple factual questions.\n\n**Use `\"agent team max\"` for institutional-grade crypto work** β 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 β₯2,000 credits.\n\n---\n\n## Example Prompts\n\n**Token deep dive:**\n> \"Create a full research report on Chainlink (LINK):\n> \n> - Oracle technology explained simply\n> - CCIP and its implications for cross-chain DeFi\n> - Staking economics β real yields, participation rate\n> - Competition: Pyth, API3, Band β does Chainlink's moat hold?\n> - Revenue model and path to sustainability\n> - Token price performance vs fundamentals\n> \n> Honest assessment. I want to know both the bull case and what could go wrong.\"\n\n**DeFi yield research:**\n> \"Compare the best yield opportunities for stablecoins right now:\n> \n> - Aave/Compound lending\n> - Curve/Convex liquidity provision\n> - Ethena sUSDe\n> - Sky (MakerDAO) savings rate\n> - RWA-backed yields\n> \n> For each: current APY, risk level, lock-up requirements, smart contract risk, and minimum recommended allocation.\n> \n> I have $50K in USDC. What's the optimal split for risk-adjusted yield?\"\n\n**Market narrative analysis:**\n> \"Research the current state of AI tokens (TAO, RENDER, FET, NEAR, etc.):\n> \n> - What's the actual thesis for AI x Crypto?\n> - Which projects have real usage vs pure narrative?\n> - On-chain metrics: users, transactions, revenue\n> - VC activity and funding in this sector\n> - Is this the next DeFi Summer or the next metaverse hype?\n> \n> Give me the honest picture. I want signal, not hype.\"\n\n**Portfolio assessment:**\n> \"Review my crypto portfolio and help me optimize:\n> \n> Holdings: 2 BTC, 15 ETH, 5000 SOL, 10000 LINK, 50000 ARB\n> Total value: ~$300K\n> Risk tolerance: Moderate (I can handle 30% drawdowns but not 70%)\n> Time horizon: 2+ years\n> \n> Analyze: concentration risk, correlation, sector exposure, and suggest rebalancing.\n> Should I add any positions for better diversification?\"\n\n---\n\n## Tips for Better Crypto Research\n\n1. **Be specific about what you need**: \"Analyze SOL\" is broad. \"Analyze Solana's network performance and validator economics post-Firedancer\" is focused.\n\n2. **State your experience level**: \"I'm new to DeFi\" vs \"I understand impermanent loss\" changes the depth of explanation.\n\n3. **Mention your purpose**: \"For a $10K investment decision\" vs \"For a research article\" shapes the output.\n\n4. **Ask for honest assessments**: CellCog doesn't shill. Explicitly asking \"what could go wrong?\" gets you balanced analysis.\n\n5. **Timeframe matters**: \"Next month\" vs \"next 2 years\" leads to very different analysis.\n\n6. **Don't trust, verify**: Use CellCog's research as a starting point. Always verify on-chain data with primary sources before making financial decisions.\n\n---\n\n## If CellCog is not installed\n\nRun `/cellcog-setup` (or `/cellcog:cellcog-setup` depending on your tool) to install and authenticate.\n**OpenClaw users:** Run `clawhub install cellcog` instead.\n**Manual setup:** `pip install -U cellcog` and set `CELLCOG_API_KEY`. See the **cellcog** skill for SDK reference.\n\nFile v1.0.14:_meta.json\n\n{\n \"ownerId\": \"kn7a96cj9q65e0bhmzahv790en80ffqm\",\n \"slug\": \"crypto-research-cellcog\",\n \"version\": \"1.0.14\",\n \"publishedAt\": 1785708294850\n}\n\nFile v1.0.14:skill-card.md\n\n## Description:
\nCrypto Research helps agents use CellCog for token deep-dives, on-chain metrics, DeFi protocol breakdowns, wallet portfolio reviews, market sentiment, whitepaper analysis, and smart contract evaluation.
\n\nThis skill is ready for commercial/non-commercial use.
\n\n## Publisher:
\n[cellcog](https://clawhub.ai/user/cellcog)
\n\n### License/Terms of Use:
\nMIT-0
\n\n\n## Use Case:
\nExternal users, developers, and analysts use this skill to delegate crypto research tasks to CellCog, including token analysis, DeFi protocol review, on-chain intelligence, portfolio strategy, whitepaper review, and smart contract evaluation.
\n\n### Deployment Geography for Use:
\nGlobal
\n\n## Known Risks and Mitigations:
\nRisk: Prompts and supplied research material are sent to CellCog for external analysis.
\nMitigation: Do not share private keys, seed phrases, exchange credentials, or unnecessarily identifying wallet or account details.
\nRisk: Crypto portfolio, tax, and investment outputs may be incomplete, stale, or unsuitable for a specific user's financial situation.
\nMitigation: Treat outputs as research, verify important claims with primary sources, and consult qualified professionals for financial, tax, legal, or compliance decisions.
\n\n\n## Reference(s):
\n- [Crypto Research on ClawHub](https://clawhub.ai/cellcog/skills/crypto-research-cellcog)
\n- [CellCog](https://cellcog.ai)
\n\n\n## Skill Output:
\n**Output Type(s):** [text, markdown, code, shell commands, configuration, guidance]
\n**Output Format:** [Markdown or text guidance with optional Python snippets, shell commands, and generated research artifacts such as HTML, PDF, or XLSX reports.]
\n**Output Parameters:** [1D]
\n**Other Properties Related to Output:** [Requires python3 and CELLCOG_API_KEY; uses CellCog chat modes for quick lookup through deeper agent-team research.]
\n\n## Skill Version(s):
\n1.0.14 (source: server release metadata)
\n\n## Ethical Considerations:
\nUsers should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.
\n\nArchive v1.0.13: 3 files, 6367 bytes\n\nFiles: skill-card.md (2783b), SKILL.md (9938b), _meta.json (143b)\n\nFile v1.0.13:SKILL.md\n\n---\nname: crypto-research-cellcog\ndescription: \"AI crypto research and analysis powered by CellCog. Token deep-dives, on-chain metrics, DeFi protocol breakdowns, wallet portfolio reviews, market sentiment, whitepaper analysis, smart contract evaluation. Comprehensive crypto intelligence from a single prompt.\"\nmetadata:\n openclaw:\n emoji: \"πͺ\"\n os: [darwin, linux, windows]\n requires:\n bins: [python3]\n env: [CELLCOG_API_KEY]\nauthor: CellCog\nhomepage: https://cellcog.ai\ndependencies: [cellcog]\n---\n# Crypto Research - Deep Research for a 24/7 Market\n\n**The market never sleeps, and neither does your analysis.** #1 on DeepResearch Bench (Apr 2026) applied to crypto.\n\nCrypto 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 β 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.\n\n## How to Use\n\nFor your first CellCog task in a session, read the **cellcog** skill for the full SDK reference β file handling, chat modes, timeouts, and more.\n\n**OpenClaw (fire-and-forget):**\n```python\nresult = client.create_chat(\n prompt=\"[your task prompt]\",\n notify_session_key=\"agent:main:main\",\n task_label=\"my-task\",\n chat_mode=\"agent\",\n)\n```\n\n**All agents except OpenClaw (blocks until done):**\n```python\nfrom cellcog import CellCogClient\nclient = CellCogClient(agent_provider=\"openclaw|cursor|claude-code|codex|...\")\nresult = client.create_chat(\n prompt=\"[your task prompt]\",\n task_label=\"my-task\",\n chat_mode=\"agent\",\n)\nprint(result[\"message\"])\n```\n\n\n---\n\n## What Crypto Research You Can Do\n\n### Token Analysis\n\nDeep dives into any token or project:\n\n- **Fundamental Analysis**: \"Analyze Solana β technology, ecosystem growth, validator economics, and competitive positioning vs Ethereum L2s\"\n- **Tokenomics Review**: \"Break down Arbitrum's tokenomics β supply schedule, inflation, governance power, and value accrual mechanisms\"\n- **New Token Research**: \"Research this new AI token that just launched β team, backers, tokenomics, red flags, and honest assessment\"\n- **Comparative Analysis**: \"Compare L2 solutions: Arbitrum vs Optimism vs Base vs zkSync β TVL, transactions, developer activity, and token performance\"\n\n**Example prompt:**\n> \"Create a comprehensive analysis of Ethereum's current state:\n> \n> Cover:\n> - Network metrics: TVL, daily transactions, gas trends, staking ratio\n> - Post-merge economics: ETH supply dynamics, burn rate, is it deflationary?\n> - L2 ecosystem impact on mainnet revenue\n> - Competitor positioning vs Solana, Avalanche, Cosmos\n> - Key upcoming catalysts and risks\n> - Bull and bear thesis for the next 12 months\n> \n> Deliver as an interactive HTML report with charts.\"\n\n### DeFi Protocol Research\n\nUnderstand protocols before you ape in:\n\n- **Protocol Deep Dives**: \"Analyze Aave V3 β how it works, risk parameters, yield mechanics, and governance\"\n- **Yield Analysis**: \"Compare yield opportunities across Lido, Rocket Pool, and Coinbase cbETH β risks, returns, and tradeoffs\"\n- **Risk Assessment**: \"Evaluate the smart contract risk of this new DEX β audit status, TVL history, team background\"\n- **Ecosystem Mapping**: \"Map the Cosmos ecosystem β key protocols, IBC activity, and where value is concentrating\"\n\n**Example prompt:**\n> \"Research Uniswap V4:\n> \n> - What's new vs V3? Hook system explained\n> - Impact on LP profitability\n> - Fee switch status and UNI token value accrual\n> - Volume and market share trends\n> - Competition from aggregators and new DEXes\n> - Developer adoption of the hooks framework\n> \n> Clear, no-BS analysis. I want to understand if the upgrade actually matters.\"\n\n### On-Chain & Market Intelligence\n\nData-driven market understanding:\n\n- **Whale Tracking**: \"What are the largest ETH wallets doing this month? Accumulating or distributing?\"\n- **Market Sentiment**: \"Analyze current crypto market sentiment β funding rates, Fear & Greed index, social activity, and exchange flows\"\n- **Narrative Research**: \"What are the emerging crypto narratives for this quarter? AI tokens, RWA, DePIN β which have substance?\"\n- **Exchange Analysis**: \"Compare DEX vs CEX volume trends over the last 6 months β is DeFi gaining share?\"\n\n### Portfolio & Strategy\n\nManage your crypto positions:\n\n- **Portfolio Review**: \"Analyze my portfolio: 50% ETH, 20% SOL, 15% LINK, 10% ARB, 5% PEPE β diversification, risk, and rebalancing suggestions\"\n- **Entry/Exit Strategy**: \"Help me think through an accumulation strategy for Bitcoin at current prices β DCA schedule, key levels, position sizing\"\n- **Tax Optimization**: \"Research crypto tax strategies for US residents β harvest losses, long-term vs short-term, staking income treatment\"\n- **Risk Management**: \"Design a risk framework for a $100K crypto portfolio β position sizing, stop losses, correlation analysis\"\n\n### Whitepaper & Smart Contract Analysis\n\nDue diligence on new projects:\n\n- **Whitepaper Review**: \"Analyze this project's whitepaper β is the technology feasible? Are the claims realistic? Red flags?\"\n- **Smart Contract Evaluation**: \"Review the security profile of this protocol β audits, bug bounties, incident history, code quality indicators\"\n- **Team Research**: \"Research the founding team of this new L1 β backgrounds, previous projects, VC backers, credibility assessment\"\n- **Comparison Research**: \"This new protocol claims to be better than Aave. Analyze their claims vs reality.\"\n\n---\n\n## Output Formats\n\n| Format | Best For |\n|--------|----------|\n| **Interactive HTML Dashboard** | Token dashboards with charts, metrics, drill-downs |\n| **PDF Report** | Shareable research reports and investment memos |\n| **XLSX Spreadsheet** | Portfolio trackers, tokenomics models, yield comparisons |\n| **Markdown** | Quick analysis for integration into your notes |\n\n---\n\n## Chat Mode for Crypto\n\n| Scenario | Recommended Mode |\n|----------|------------------|\n| Quick price checks, simple token lookups, basic metrics | `\"agent\"` |\n| Deep token analysis, DeFi research, ecosystem mapping, portfolio strategy | `\"agent team\"` |\n| Institutional due diligence, high-stakes portfolio decisions, regulatory analysis | `\"agent team max\"` |\n\n**Use `\"agent team\"` for most crypto research.** The crypto space requires synthesizing information from many sources β protocol docs, on-chain data, market analysis, social sentiment. Agent team mode delivers the multi-source depth that serious crypto research demands.\n\n**Use `\"agent\"` for quick lookups** β current prices, basic metrics, or simple factual questions.\n\n**Use `\"agent team max\"` for institutional-grade crypto work** β 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 β₯2,000 credits.\n\n---\n\n## Example Prompts\n\n**Token deep dive:**\n> \"Create a full research report on Chainlink (LINK):\n> \n> - Oracle technology explained simply\n> - CCIP and its implications for cross-chain DeFi\n> - Staking economics β real yields, participation rate\n> - Competition: Pyth, API3, Band β does Chainlink's moat hold?\n> - Revenue model and path to sustainability\n> - Token price performance vs fundamentals\n> \n> Honest assessment. I want to know both the bull case and what could go wrong.\"\n\n**DeFi yield research:**\n> \"Compare the best yield opportunities for stablecoins right now:\n> \n> - Aave/Compound lending\n> - Curve/Convex liquidity provision\n> - Ethena sUSDe\n> - Sky (MakerDAO) savings rate\n> - RWA-backed yields\n> \n> For each: current APY, risk level, lock-up requirements, smart contract risk, and minimum recommended allocation.\n> \n> I have $50K in USDC. What's the optimal split for risk-adjusted yield?\"\n\n**Market narrative analysis:**\n> \"Research the current state of AI tokens (TAO, RENDER, FET, NEAR, etc.):\n> \n> - What's the actual thesis for AI x Crypto?\n> - Which projects have real usage vs pure narrative?\n> - On-chain metrics: users, transactions, revenue\n> - VC activity and funding in this sector\n> - Is this the next DeFi Summer or the next metaverse hype?\n> \n> Give me the honest picture. I want signal, not hype.\"\n\n**Portfolio assessment:**\n> \"Review my crypto portfolio and help me optimize:\n> \n> Holdings: 2 BTC, 15 ETH, 5000 SOL, 10000 LINK, 50000 ARB\n> Total value: ~$300K\n> Risk tolerance: Moderate (I can handle 30% drawdowns but not 70%)\n> Time horizon: 2+ years\n> \n> Analyze: concentration risk, correlation, sector exposure, and suggest rebalancing.\n> Should I add any positions for better diversification?\"\n\n---\n\n## Tips for Better Crypto Research\n\n1. **Be specific about what you need**: \"Analyze SOL\" is broad. \"Analyze Solana's network performance and validator economics post-Firedancer\" is focused.\n\n2. **State your experience level**: \"I'm new to DeFi\" vs \"I understand impermanent loss\" changes the depth of explanation.\n\n3. **Mention your purpose**: \"For a $10K investment decision\" vs \"For a research article\" shapes the output.\n\n4. **Ask for honest assessments**: CellCog doesn't shill. Explicitly asking \"what could go wrong?\" gets you balanced analysis.\n\n5. **Timeframe matters**: \"Next month\" vs \"next 2 years\" leads to very different analysis.\n\n6. **Don't trust, verify**: Use CellCog's research as a starting point. Always verify on-chain data with primary sources before making financial decisions.\n\n---\n\n## If CellCog is not installed\n\nRun `/cellcog-setup` (or `/cellcog:cellcog-setup` depending on your tool) to install and authenticate.\n**OpenClaw users:** Run `clawhub install cellcog` instead.\n**Manual setup:** `pip install -U cellcog` and set `CELLCOG_API_KEY`. See the **cellcog** skill for SDK reference.\n\nFile v1.0.13:_meta.json\n\n{\n \"ownerId\": \"kn7a96cj9q65e0bhmzahv790en80ffqm\",\n \"slug\": \"crypto-research-cellcog\",\n \"version\": \"1.0.13\",\n \"publishedAt\": 1784735851328\n}\n\nFile v1.0.13:skill-card.md\n\n## Description:
\nCrypto Research Cellcog provides CellCog-powered crypto research for token deep dives, on-chain metrics, DeFi protocol analysis, wallet portfolio reviews, market sentiment, whitepaper analysis, and smart contract evaluation.
\n\nThis skill is ready for commercial/non-commercial use.
\n\n## Publisher:
\n[nitishgargiitd](https://clawhub.ai/user/nitishgargiitd)
\n\n### License/Terms of Use:
\nMIT-0
\n\n\n## Use Case:
\nDevelopers, analysts, and crypto researchers use this skill to delegate crypto market research, token and DeFi protocol analysis, portfolio review, and due diligence prompts to CellCog. It is intended as research support and should not replace professional financial, legal, investment, or tax advice.
\n\n### Deployment Geography for Use:
\nGlobal
\n\n## Known Risks and Mitigations:
\nRisk: Crypto research and portfolio analysis may be incomplete, stale, or unsuitable for financial, legal, investment, or tax decisions.
\nMitigation: Treat outputs as research support and verify prices, on-chain data, protocol risk, and tax conclusions with primary sources or qualified professionals before acting.
\nRisk: Prompts may expose sensitive wallet, exchange, seed phrase, private key, or account information if users include secrets.
\nMitigation: Do not include exchange credentials, seed phrases, private keys, or other secrets in prompts; keep CELLCOG_API_KEY in secret storage or the local environment.
\nRisk: The skill depends on CellCog access and may fail without the required Python package, API key, or sufficient credits for high-depth modes.
\nMitigation: Install and authenticate CellCog before use, confirm CELLCOG_API_KEY is configured, and choose chat modes appropriate to the available credits and decision risk.
\n\n\n## Reference(s):
\n- [CellCog](https://cellcog.ai)
\n- [ClawHub skill page](https://clawhub.ai/nitishgargiitd/skills/crypto-research-cellcog)
\n\n\n## Skill Output:
\n**Output Type(s):** [text, markdown, code, shell commands, configuration, guidance]
\n**Output Format:** [Markdown guidance with Python snippets and optional research outputs such as HTML dashboards, PDF reports, XLSX spreadsheets, or Markdown analysis.]
\n**Output Parameters:** [1D]
\n**Other Properties Related to Output:** [Requires python3 and CELLCOG_API_KEY; high-depth modes may require additional CellCog credits.]
\n\n## Skill Version(s):
\n1.0.13 (source: server release metadata)
\n\n## Ethical Considerations:
\nUsers should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.
\n\nArchive v1.0.12: 3 files, 6301 bytes\n\nFiles: skill-card.md (2570b), SKILL.md (9920b), _meta.json (143b)\n\nFile v1.0.12:SKILL.md\n\n---\nname: crypto-cog\ndescription: \"AI crypto research and analysis powered by CellCog. Token deep-dives, on-chain metrics, DeFi protocol breakdowns, wallet portfolio reviews, market sentiment, whitepaper analysis, smart contract evaluation. Comprehensive crypto intelligence from a single prompt.\"\nmetadata:\n openclaw:\n emoji: \"πͺ\"\n os: [darwin, linux, windows]\n requires:\n bins: [python3]\n env: [CELLCOG_API_KEY]\nauthor: CellCog\nhomepage: https://cellcog.ai\ndependencies: [cellcog]\n---\n# Crypto Cog - Deep Research for a 24/7 Market\n\n**The market never sleeps, and neither does your analysis.** #1 on DeepResearch Bench (Apr 2026) applied to crypto.\n\nCrypto 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 β 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.\n\n## How to Use\n\nFor your first CellCog task in a session, read the **cellcog** skill for the full SDK reference β file handling, chat modes, timeouts, and more.\n\n**OpenClaw (fire-and-forget):**\n```python\nresult = client.create_chat(\n prompt=\"[your task prompt]\",\n notify_session_key=\"agent:main:main\",\n task_label=\"my-task\",\n chat_mode=\"agent\",\n)\n```\n\n**All agents except OpenClaw (blocks until done):**\n```python\nfrom cellcog import CellCogClient\nclient = CellCogClient(agent_provider=\"openclaw|cursor|claude-code|codex|...\")\nresult = client.create_chat(\n prompt=\"[your task prompt]\",\n task_label=\"my-task\",\n chat_mode=\"agent\",\n)\nprint(result[\"message\"])\n```\n\n\n---\n\n## What Crypto Research You Can Do\n\n### Token Analysis\n\nDeep dives into any token or project:\n\n- **Fundamental Analysis**: \"Analyze Solana β technology, ecosystem growth, validator economics, and competitive positioning vs Ethereum L2s\"\n- **Tokenomics Review**: \"Break down Arbitrum's tokenomics β supply schedule, inflation, governance power, and value accrual mechanisms\"\n- **New Token Research**: \"Research this new AI token that just launched β team, backers, tokenomics, red flags, and honest assessment\"\n- **Comparative Analysis**: \"Compare L2 solutions: Arbitrum vs Optimism vs Base vs zkSync β TVL, transactions, developer activity, and token performance\"\n\n**Example prompt:**\n> \"Create a comprehensive analysis of Ethereum's current state:\n> \n> Cover:\n> - Network metrics: TVL, daily transactions, gas trends, staking ratio\n> - Post-merge economics: ETH supply dynamics, burn rate, is it deflationary?\n> - L2 ecosystem impact on mainnet revenue\n> - Competitor positioning vs Solana, Avalanche, Cosmos\n> - Key upcoming catalysts and risks\n> - Bull and bear thesis for the next 12 months\n> \n> Deliver as an interactive HTML report with charts.\"\n\n### DeFi Protocol Research\n\nUnderstand protocols before you ape in:\n\n- **Protocol Deep Dives**: \"Analyze Aave V3 β how it works, risk parameters, yield mechanics, and governance\"\n- **Yield Analysis**: \"Compare yield opportunities across Lido, Rocket Pool, and Coinbase cbETH β risks, returns, and tradeoffs\"\n- **Risk Assessment**: \"Evaluate the smart contract risk of this new DEX β audit status, TVL history, team background\"\n- **Ecosystem Mapping**: \"Map the Cosmos ecosystem β key protocols, IBC activity, and where value is concentrating\"\n\n**Example prompt:**\n> \"Research Uniswap V4:\n> \n> - What's new vs V3? Hook system explained\n> - Impact on LP profitability\n> - Fee switch status and UNI token value accrual\n> - Volume and market share trends\n> - Competition from aggregators and new DEXes\n> - Developer adoption of the hooks framework\n> \n> Clear, no-BS analysis. I want to understand if the upgrade actually matters.\"\n\n### On-Chain & Market Intelligence\n\nData-driven market understanding:\n\n- **Whale Tracking**: \"What are the largest ETH wallets doing this month? Accumulating or distributing?\"\n- **Market Sentiment**: \"Analyze current crypto market sentiment β funding rates, Fear & Greed index, social activity, and exchange flows\"\n- **Narrative Research**: \"What are the emerging crypto narratives for this quarter? AI tokens, RWA, DePIN β which have substance?\"\n- **Exchange Analysis**: \"Compare DEX vs CEX volume trends over the last 6 months β is DeFi gaining share?\"\n\n### Portfolio & Strategy\n\nManage your crypto positions:\n\n- **Portfolio Review**: \"Analyze my portfolio: 50% ETH, 20% SOL, 15% LINK, 10% ARB, 5% PEPE β diversification, risk, and rebalancing suggestions\"\n- **Entry/Exit Strategy**: \"Help me think through an accumulation strategy for Bitcoin at current prices β DCA schedule, key levels, position sizing\"\n- **Tax Optimization**: \"Research crypto tax strategies for US residents β harvest losses, long-term vs short-term, staking income treatment\"\n- **Risk Management**: \"Design a risk framework for a $100K crypto portfolio β position sizing, stop losses, correlation analysis\"\n\n### Whitepaper & Smart Contract Analysis\n\nDue diligence on new projects:\n\n- **Whitepaper Review**: \"Analyze this project's whitepaper β is the technology feasible? Are the claims realistic? Red flags?\"\n- **Smart Contract Evaluation**: \"Review the security profile of this protocol β audits, bug bounties, incident history, code quality indicators\"\n- **Team Research**: \"Research the founding team of this new L1 β backgrounds, previous projects, VC backers, credibility assessment\"\n- **Comparison Research**: \"This new protocol claims to be better than Aave. Analyze their claims vs reality.\"\n\n---\n\n## Output Formats\n\n| Format | Best For |\n|--------|----------|\n| **Interactive HTML Dashboard** | Token dashboards with charts, metrics, drill-downs |\n| **PDF Report** | Shareable research reports and investment memos |\n| **XLSX Spreadsheet** | Portfolio trackers, tokenomics models, yield comparisons |\n| **Markdown** | Quick analysis for integration into your notes |\n\n---\n\n## Chat Mode for Crypto\n\n| Scenario | Recommended Mode |\n|----------|------------------|\n| Quick price checks, simple token lookups, basic metrics | `\"agent\"` |\n| Deep token analysis, DeFi research, ecosystem mapping, portfolio strategy | `\"agent team\"` |\n| Institutional due diligence, high-stakes portfolio decisions, regulatory analysis | `\"agent team max\"` |\n\n**Use `\"agent team\"` for most crypto research.** The crypto space requires synthesizing information from many sources β protocol docs, on-chain data, market analysis, social sentiment. Agent team mode delivers the multi-source depth that serious crypto research demands.\n\n**Use `\"agent\"` for quick lookups** β current prices, basic metrics, or simple factual questions.\n\n**Use `\"agent team max\"` for institutional-grade crypto work** β 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 β₯2,000 credits.\n\n---\n\n## Example Prompts\n\n**Token deep dive:**\n> \"Create a full research report on Chainlink (LINK):\n> \n> - Oracle technology explained simply\n> - CCIP and its implications for cross-chain DeFi\n> - Staking economics β real yields, participation rate\n> - Competition: Pyth, API3, Band β does Chainlink's moat hold?\n> - Revenue model and path to sustainability\n> - Token price performance vs fundamentals\n> \n> Honest assessment. I want to know both the bull case and what could go wrong.\"\n\n**DeFi yield research:**\n> \"Compare the best yield opportunities for stablecoins right now:\n> \n> - Aave/Compound lending\n> - Curve/Convex liquidity provision\n> - Ethena sUSDe\n> - Sky (MakerDAO) savings rate\n> - RWA-backed yields\n> \n> For each: current APY, risk level, lock-up requirements, smart contract risk, and minimum recommended allocation.\n> \n> I have $50K in USDC. What's the optimal split for risk-adjusted yield?\"\n\n**Market narrative analysis:**\n> \"Research the current state of AI tokens (TAO, RENDER, FET, NEAR, etc.):\n> \n> - What's the actual thesis for AI x Crypto?\n> - Which projects have real usage vs pure narrative?\n> - On-chain metrics: users, transactions, revenue\n> - VC activity and funding in this sector\n> - Is this the next DeFi Summer or the next metaverse hype?\n> \n> Give me the honest picture. I want signal, not hype.\"\n\n**Portfolio assessment:**\n> \"Review my crypto portfolio and help me optimize:\n> \n> Holdings: 2 BTC, 15 ETH, 5000 SOL, 10000 LINK, 50000 ARB\n> Total value: ~$300K\n> Risk tolerance: Moderate (I can handle 30% drawdowns but not 70%)\n> Time horizon: 2+ years\n> \n> Analyze: concentration risk, correlation, sector exposure, and suggest rebalancing.\n> Should I add any positions for better diversification?\"\n\n---\n\n## Tips for Better Crypto Research\n\n1. **Be specific about what you need**: \"Analyze SOL\" is broad. \"Analyze Solana's network performance and validator economics post-Firedancer\" is focused.\n\n2. **State your experience level**: \"I'm new to DeFi\" vs \"I understand impermanent loss\" changes the depth of explanation.\n\n3. **Mention your purpose**: \"For a $10K investment decision\" vs \"For a research article\" shapes the output.\n\n4. **Ask for honest assessments**: CellCog doesn't shill. Explicitly asking \"what could go wrong?\" gets you balanced analysis.\n\n5. **Timeframe matters**: \"Next month\" vs \"next 2 years\" leads to very different analysis.\n\n6. **Don't trust, verify**: Use CellCog's research as a starting point. Always verify on-chain data with primary sources before making financial decisions.\n\n---\n\n## If CellCog is not installed\n\nRun `/cellcog-setup` (or `/cellcog:cellcog-setup` depending on your tool) to install and authenticate.\n**OpenClaw users:** Run `clawhub install cellcog` instead.\n**Manual setup:** `pip install -U cellcog` and set `CELLCOG_API_KEY`. See the **cellcog** skill for SDK reference.\n\nFile v1.0.12:_meta.json\n\n{\n \"ownerId\": \"kn7a96cj9q65e0bhmzahv790en80ffqm\",\n \"slug\": \"crypto-research-cellcog\",\n \"version\": \"1.0.12\",\n \"publishedAt\": 1776925123242\n}\n\nFile v1.0.12:skill-card.md\n\n## Description:
\nCrypto Cog provides AI crypto research and analysis powered by CellCog for token deep dives, on-chain metrics, DeFi protocol breakdowns, wallet reviews, market sentiment, whitepaper analysis, and smart contract evaluation.
\n\nThis skill is ready for commercial/non-commercial use.
\n\n## Publisher:
\n[nitishgargiitd](https://clawhub.ai/user/nitishgargiitd)
\n\n### License/Terms of Use:
\nMIT-0
\n\n\n## Use Case:
\nExternal users, developers, and crypto researchers use Crypto Cog to request CellCog-supported crypto research across tokens, DeFi protocols, on-chain activity, portfolios, whitepapers, and smart contract risk. Outputs should be treated as research support, not financial, legal, or tax advice.
\n\n### Deployment Geography for Use:
\nGlobal
\n\n## Known Risks and Mitigations:
\nRisk: Crypto prompts can expose sensitive financial data or wallet details.
\nMitigation: Do not share seed phrases, private keys, wallet recovery data, exchange credentials, exact account identifiers, or unnecessary exact balances; use ranges or anonymized holdings where possible.
\nRisk: The skill relies on a CELLCOG_API_KEY for CellCog access.
\nMitigation: Store CELLCOG_API_KEY in a secure environment variable or secret manager and avoid committing it to files or prompts.
\nRisk: Crypto research outputs may be mistaken for financial, legal, or tax advice.
\nMitigation: Treat outputs as research support and verify conclusions with primary sources or qualified professionals before making decisions.
\n\n\n## Reference(s):
\n- [CellCog homepage](https://cellcog.ai)
\n- [Crypto Cog on ClawHub](https://clawhub.ai/nitishgargiitd/skills/crypto-cog)
\n- [Publisher profile](https://clawhub.ai/user/nitishgargiitd)
\n\n\n## Skill Output:
\n**Output Type(s):** [Text, Markdown, Code, Shell commands, Configuration, Guidance]
\n**Output Format:** [Markdown guidance with Python examples; CellCog tasks may return Markdown, interactive HTML, PDF, or XLSX reports.]
\n**Output Parameters:** [1D]
\n**Other Properties Related to Output:** [Requires python3 and CELLCOG_API_KEY; agent team max mode requires at least 2,000 credits.]
\n\n## Skill Version(s):
\n1.0.12 (source: server release metadata)
\n\n## Ethical Considerations:
\nUsers should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.
\n\nArchive v1.0.11: 2 files, 4915 bytes\n\nFiles: SKILL.md (9855b), _meta.json (143b)\n\nFile v1.0.11:SKILL.md\n\n---\nname: crypto-cog\ndescription: \"AI crypto research and analysis powered by CellCog. Token deep-dives, on-chain metrics, DeFi protocol breakdowns, wallet portfolio reviews, market sentiment, whitepaper analysis, smart contract evaluation. Comprehensive crypto intelligence from a single prompt.\"\nmetadata:\n openclaw:\n emoji: \"πͺ\"\n os: [darwin, linux, windows]\nauthor: CellCog\nhomepage: https://cellcog.ai\ndependencies: [cellcog]\n---\n# Crypto Cog - Deep Research for a 24/7 Market\n\n**The market never sleeps, and neither does your analysis.** #1 on DeepResearch Bench (Apr 2026) applied to crypto.\n\nCrypto 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 β 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.\n\n## How to Use\n\nFor your first CellCog task in a session, read the **cellcog** skill for the full SDK reference β file handling, chat modes, timeouts, and more.\n\n**OpenClaw (fire-and-forget):**\n```python\nresult = client.create_chat(\n prompt=\"[your task prompt]\",\n notify_session_key=\"agent:main:main\",\n task_label=\"my-task\",\n chat_mode=\"agent\",\n)\n```\n\n**All agents except OpenClaw (blocks until done):**\n```python\nfrom cellcog import CellCogClient\nclient = CellCogClient(agent_provider=\"openclaw|cursor|claude-code|codex|...\")\nresult = client.create_chat(\n prompt=\"[your task prompt]\",\n task_label=\"my-task\",\n chat_mode=\"agent\",\n)\nprint(result[\"message\"])\n```\n\n\n---\n\n## What Crypto Research You Can Do\n\n### Token Analysis\n\nDeep dives into any token or project:\n\n- **Fundamental Analysis**: \"Analyze Solana β technology, ecosystem growth, validator economics, and competitive positioning vs Ethereum L2s\"\n- **Tokenomics Review**: \"Break down Arbitrum's tokenomics β supply schedule, inflation, governance power, and value accrual mechanisms\"\n- **New Token Research**: \"Research this new AI token that just launched β team, backers, tokenomics, red flags, and honest assessment\"\n- **Comparative Analysis**: \"Compare L2 solutions: Arbitrum vs Optimism vs Base vs zkSync β TVL, transactions, developer activity, and token performance\"\n\n**Example prompt:**\n> \"Create a comprehensive analysis of Ethereum's current state:\n> \n> Cover:\n> - Network metrics: TVL, daily transactions, gas trends, staking ratio\n> - Post-merge economics: ETH supply dynamics, burn rate, is it deflationary?\n> - L2 ecosystem impact on mainnet revenue\n> - Competitor positioning vs Solana, Avalanche, Cosmos\n> - Key upcoming catalysts and risks\n> - Bull and bear thesis for the next 12 months\n> \n> Deliver as an interactive HTML report with charts.\"\n\n### DeFi Protocol Research\n\nUnderstand protocols before you ape in:\n\n- **Protocol Deep Dives**: \"Analyze Aave V3 β how it works, risk parameters, yield mechanics, and governance\"\n- **Yield Analysis**: \"Compare yield opportunities across Lido, Rocket Pool, and Coinbase cbETH β risks, returns, and tradeoffs\"\n- **Risk Assessment**: \"Evaluate the smart contract risk of this new DEX β audit status, TVL history, team background\"\n- **Ecosystem Mapping**: \"Map the Cosmos ecosystem β key protocols, IBC activity, and where value is concentrating\"\n\n**Example prompt:**\n> \"Research Uniswap V4:\n> \n> - What's new vs V3? Hook system explained\n> - Impact on LP profitability\n> - Fee switch status and UNI token value accrual\n> - Volume and market share trends\n> - Competition from aggregators and new DEXes\n> - Developer adoption of the hooks framework\n> \n> Clear, no-BS analysis. I want to understand if the upgrade actually matters.\"\n\n### On-Chain & Market Intelligence\n\nData-driven market understanding:\n\n- **Whale Tracking**: \"What are the largest ETH wallets doing this month? Accumulating or distributing?\"\n- **Market Sentiment**: \"Analyze current crypto market sentiment β funding rates, Fear & Greed index, social activity, and exchange flows\"\n- **Narrative Research**: \"What are the emerging crypto narratives for this quarter? AI tokens, RWA, DePIN β which have substance?\"\n- **Exchange Analysis**: \"Compare DEX vs CEX volume trends over the last 6 months β is DeFi gaining share?\"\n\n### Portfolio & Strategy\n\nManage your crypto positions:\n\n- **Portfolio Review**: \"Analyze my portfolio: 50% ETH, 20% SOL, 15% LINK, 10% ARB, 5% PEPE β diversification, risk, and rebalancing suggestions\"\n- **Entry/Exit Strategy**: \"Help me think through an accumulation strategy for Bitcoin at current prices β DCA schedule, key levels, position sizing\"\n- **Tax Optimization**: \"Research crypto tax strategies for US residents β harvest losses, long-term vs short-term, staking income treatment\"\n- **Risk Management**: \"Design a risk framework for a $100K crypto portfolio β position sizing, stop losses, correlation analysis\"\n\n### Whitepaper & Smart Contract Analysis\n\nDue diligence on new projects:\n\n- **Whitepaper Review**: \"Analyze this project's whitepaper β is the technology feasible? Are the claims realistic? Red flags?\"\n- **Smart Contract Evaluation**: \"Review the security profile of this protocol β audits, bug bounties, incident history, code quality indicators\"\n- **Team Research**: \"Research the founding team of this new L1 β backgrounds, previous projects, VC backers, credibility assessment\"\n- **Comparison Research**: \"This new protocol claims to be better than Aave. Analyze their claims vs reality.\"\n\n---\n\n## Output Formats\n\n| Format | Best For |\n|--------|----------|\n| **Interactive HTML Dashboard** | Token dashboards with charts, metrics, drill-downs |\n| **PDF Report** | Shareable research reports and investment memos |\n| **XLSX Spreadsheet** | Portfolio trackers, tokenomics models, yield comparisons |\n| **Markdown** | Quick analysis for integration into your notes |\n\n---\n\n## Chat Mode for Crypto\n\n| Scenario | Recommended Mode |\n|----------|------------------|\n| Quick price checks, simple token lookups, basic metrics | `\"agent\"` |\n| Deep token analysis, DeFi research, ecosystem mapping, portfolio strategy | `\"agent team\"` |\n| Institutional due diligence, high-stakes portfolio decisions, regulatory analysis | `\"agent team max\"` |\n\n**Use `\"agent team\"` for most crypto research.** The crypto space requires synthesizing information from many sources β protocol docs, on-chain data, market analysis, social sentiment. Agent team mode delivers the multi-source depth that serious crypto research demands.\n\n**Use `\"agent\"` for quick lookups** β current prices, basic metrics, or simple factual questions.\n\n**Use `\"agent team max\"` for institutional-grade crypto work** β 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 β₯2,000 credits.\n\n---\n\n## Example Prompts\n\n**Token deep dive:**\n> \"Create a full research report on Chainlink (LINK):\n> \n> - Oracle technology explained simply\n> - CCIP and its implications for cross-chain DeFi\n> - Staking economics β real yields, participation rate\n> - Competition: Pyth, API3, Band β does Chainlink's moat hold?\n> - Revenue model and path to sustainability\n> - Token price performance vs fundamentals\n> \n> Honest assessment. I want to know both the bull case and what could go wrong.\"\n\n**DeFi yield research:**\n> \"Compare the best yield opportunities for stablecoins right now:\n> \n> - Aave/Compound lending\n> - Curve/Convex liquidity provision\n> - Ethena sUSDe\n> - Sky (MakerDAO) savings rate\n> - RWA-backed yields\n> \n> For each: current APY, risk level, lock-up requirements, smart contract risk, and minimum recommended allocation.\n> \n> I have $50K in USDC. What's the optimal split for risk-adjusted yield?\"\n\n**Market narrative analysis:**\n> \"Research the current state of AI tokens (TAO, RENDER, FET, NEAR, etc.):\n> \n> - What's the actual thesis for AI x Crypto?\n> - Which projects have real usage vs pure narrative?\n> - On-chain metrics: users, transactions, revenue\n> - VC activity and funding in this sector\n> - Is this the next DeFi Summer or the next metaverse hype?\n> \n> Give me the honest picture. I want signal, not hype.\"\n\n**Portfolio assessment:**\n> \"Review my crypto portfolio and help me optimize:\n> \n> Holdings: 2 BTC, 15 ETH, 5000 SOL, 10000 LINK, 50000 ARB\n> Total value: ~$300K\n> Risk tolerance: Moderate (I can handle 30% drawdowns but not 70%)\n> Time horizon: 2+ years\n> \n> Analyze: concentration risk, correlation, sector exposure, and suggest rebalancing.\n> Should I add any positions for better diversification?\"\n\n---\n\n## Tips for Better Crypto Research\n\n1. **Be specific about what you need**: \"Analyze SOL\" is broad. \"Analyze Solana's network performance and validator economics post-Firedancer\" is focused.\n\n2. **State your experience level**: \"I'm new to DeFi\" vs \"I understand impermanent loss\" changes the depth of explanation.\n\n3. **Mention your purpose**: \"For a $10K investment decision\" vs \"For a research article\" shapes the output.\n\n4. **Ask for honest assessments**: CellCog doesn't shill. Explicitly asking \"what could go wrong?\" gets you balanced analysis.\n\n5. **Timeframe matters**: \"Next month\" vs \"next 2 years\" leads to very different analysis.\n\n6. **Don't trust, verify**: Use CellCog's research as a starting point. Always verify on-chain data with primary sources before making financial decisions.\n\n---\n\n## If CellCog is not installed\n\nRun `/cellcog-setup` (or `/cellcog:cellcog-setup` depending on your tool) to install and authenticate.\n**OpenClaw users:** Run `clawhub install cellcog` instead.\n**Manual setup:** `pip install -U cellcog` and set `CELLCOG_API_KEY`. See the **cellcog** skill for SDK reference.\n\nFile v1.0.11:_meta.json\n\n{\n \"ownerId\": \"kn7a96cj9q65e0bhmzahv790en80ffqm\",\n \"slug\": \"crypto-research-cellcog\",\n \"version\": \"1.0.11\",\n \"publishedAt\": 1776187920580\n}\n\nArchive v1.0.10: 2 files, 4873 bytes\n\nFiles: SKILL.md (9918b), _meta.json (143b)\n\nFile v1.0.10:SKILL.md\n\n---\nname: crypto-cog\ndescription: \"The market never sleeps, and neither does your analysis. #1 on DeepResearch Bench (Apr 2026) applied to crypto β token deep-dives, on-chain metrics, DeFi protocol breakdowns, wallet portfolio reviews, market sentiment research, whitepaper analysis, and smart contract evaluation. From degen plays to institutional due diligence, one prompt covers it all.\"\nmetadata:\n openclaw:\n emoji: \"πͺ\"\n os: [darwin, linux, windows]\nauthor: CellCog\nhomepage: https://cellcog.ai\ndependencies: [cellcog]\n---\n# Crypto Cog - Deep Research for a 24/7 Market\n\n**The market never sleeps, and neither does your analysis.** #1 on DeepResearch Bench (Apr 2026) applied to crypto.\n\nCrypto 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 β 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.\n\n## How to Use\n\nFor your first CellCog task in a session, read the **cellcog** skill for the full SDK reference β file handling, chat modes, timeouts, and more.\n\n**OpenClaw (fire-and-forget):**\n```python\nresult = client.create_chat(\n prompt=\"[your task prompt]\",\n notify_session_key=\"agent:main:main\",\n task_label=\"my-task\",\n chat_mode=\"agent\",\n)\n```\n\n**Cursor / Claude Code / Other agents (blocks until done):**\n```python\nfrom cellcog import CellCogClient\nclient = CellCogClient(agent_provider=\"openclaw|cursor|claude-code|codex|...\")\nresult = client.create_chat(\n prompt=\"[your task prompt]\",\n task_label=\"my-task\",\n chat_mode=\"agent\",\n)\nprint(result[\"message\"])\n```\n\n\n---\n\n## What Crypto Research You Can Do\n\n### Token Analysis\n\nDeep dives into any token or project:\n\n- **Fundamental Analysis**: \"Analyze Solana β technology, ecosystem growth, validator economics, and competitive positioning vs Ethereum L2s\"\n- **Tokenomics Review**: \"Break down Arbitrum's tokenomics β supply schedule, inflation, governance power, and value accrual mechanisms\"\n- **New Token Research**: \"Research this new AI token that just launched β team, backers, tokenomics, red flags, and honest assessment\"\n- **Comparative Analysis**: \"Compare L2 solutions: Arbitrum vs Optimism vs Base vs zkSync β TVL, transactions, developer activity, and token performance\"\n\n**Example prompt:**\n> \"Create a comprehensive analysis of Ethereum's current state:\n> \n> Cover:\n> - Network metrics: TVL, daily transactions, gas trends, staking ratio\n> - Post-merge economics: ETH supply dynamics, burn rate, is it deflationary?\n> - L2 ecosystem impact on mainnet revenue\n> - Competitor positioning vs Solana, Avalanche, Cosmos\n> - Key upcoming catalysts and risks\n> - Bull and bear thesis for the next 12 months\n> \n> Deliver as an interactive HTML report with charts.\"\n\n### DeFi Protocol Research\n\nUnderstand protocols before you ape in:\n\n- **Protocol Deep Dives**: \"Analyze Aave V3 β how it works, risk parameters, yield mechanics, and governance\"\n- **Yield Analysis**: \"Compare yield opportunities across Lido, Rocket Pool, and Coinbase cbETH β risks, returns, and tradeoffs\"\n- **Risk Assessment**: \"Evaluate the smart contract risk of this new DEX β audit status, TVL history, team background\"\n- **Ecosystem Mapping**: \"Map the Cosmos ecosystem β key protocols, IBC activity, and where value is concentrating\"\n\n**Example prompt:**\n> \"Research Uniswap V4:\n> \n> - What's new vs V3? Hook system explained\n> - Impact on LP profitability\n> - Fee switch status and UNI token value accrual\n> - Volume and market share trends\n> - Competition from aggregators and new DEXes\n> - Developer adoption of the hooks framework\n> \n> Clear, no-BS analysis. I want to understand if the upgrade actually matters.\"\n\n### On-Chain & Market Intelligence\n\nData-driven market understanding:\n\n- **Whale Tracking**: \"What are the largest ETH wallets doing this month? Accumulating or distributing?\"\n- **Market Sentiment**: \"Analyze current crypto market sentiment β funding rates, Fear & Greed index, social activity, and exchange flows\"\n- **Narrative Research**: \"What are the emerging crypto narratives for this quarter? AI tokens, RWA, DePIN β which have substance?\"\n- **Exchange Analysis**: \"Compare DEX vs CEX volume trends over the last 6 months β is DeFi gaining share?\"\n\n### Portfolio & Strategy\n\nManage your crypto positions:\n\n- **Portfolio Review**: \"Analyze my portfolio: 50% ETH, 20% SOL, 15% LINK, 10% ARB, 5% PEPE β diversification, risk, and rebalancing suggestions\"\n- **Entry/Exit Strategy**: \"Help me think through an accumulation strategy for Bitcoin at current prices β DCA schedule, key levels, position sizing\"\n- **Tax Optimization**: \"Research crypto tax strategies for US residents β harvest losses, long-term vs short-term, staking income treatment\"\n- **Risk Management**: \"Design a risk framework for a $100K crypto portfolio β position sizing, stop losses, correlation analysis\"\n\n### Whitepaper & Smart Contract Analysis\n\nDue diligence on new projects:\n\n- **Whitepaper Review**: \"Analyze this project's whitepaper β is the technology feasible? Are the claims realistic? Red flags?\"\n- **Smart Contract Evaluation**: \"Review the security profile of this protocol β audits, bug bounties, incident history, code quality indicators\"\n- **Team Research**: \"Research the founding team of this new L1 β backgrounds, previous projects, VC backers, credibility assessment\"\n- **Comparison Research**: \"This new protocol claims to be better than Aave. Analyze their claims vs reality.\"\n\n---\n\n## Output Formats\n\n| Format | Best For |\n|--------|----------|\n| **Interactive HTML Dashboard** | Token dashboards with charts, metrics, drill-downs |\n| **PDF Report** | Shareable research reports and investment memos |\n| **XLSX Spreadsheet** | Portfolio trackers, tokenomics models, yield comparisons |\n| **Markdown** | Quick analysis for integration into your notes |\n\n---\n\n## Chat Mode for Crypto\n\n| Scenario | Recommended Mode |\n|----------|------------------|\n| Quick price checks, simple token lookups, basic metrics | `\"agent\"` |\n| Deep token analysis, DeFi research, ecosystem mapping, portfolio strategy | `\"agent team\"` |\n| Institutional due diligence, high-stakes portfolio decisions, regulatory analysis | `\"agent team max\"` |\n\n**Use `\"agent team\"` for most crypto research.** The crypto space requires synthesizing information from many sources β protocol docs, on-chain data, market analysis, social sentiment. Agent team mode delivers the multi-source depth that serious crypto research demands.\n\n**Use `\"agent\"` for quick lookups** β current prices, basic metrics, or simple factual questions.\n\n**Use `\"agent team max\"` for institutional-grade crypto work** β 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 β₯2,000 credits.\n\n---\n\n## Example Prompts\n\n**Token deep dive:**\n> \"Create a full research report on Chainlink (LINK):\n> \n> - Oracle technology explained simply\n> - CCIP and its implications for cross-chain DeFi\n> - Staking economics β real yields, participation rate\n> - Competition: Pyth, API3, Band β does Chainlink's moat hold?\n> - Revenue model and path to sustainability\n> - Token price performance vs fundamentals\n> \n> Honest assessment. I want to know both the bull case and what could go wrong.\"\n\n**DeFi yield research:**\n> \"Compare the best yield opportunities for stablecoins right now:\n> \n> - Aave/Compound lending\n> - Curve/Convex liquidity provision\n> - Ethena sUSDe\n> - Sky (MakerDAO) savings rate\n> - RWA-backed yields\n> \n> For each: current APY, risk level, lock-up requirements, smart contract risk, and minimum recommended allocation.\n> \n> I have $50K in USDC. What's the optimal split for risk-adjusted yield?\"\n\n**Market narrative analysis:**\n> \"Research the current state of AI tokens (TAO, RENDER, FET, NEAR, etc.):\n> \n> - What's the actual thesis for AI x Crypto?\n> - Which projects have real usage vs pure narrative?\n> - On-chain metrics: users, transactions, revenue\n> - VC activity and funding in this sector\n> - Is this the next DeFi Summer or the next metaverse hype?\n> \n> Give me the honest picture. I want signal, not hype.\"\n\n**Portfolio assessment:**\n> \"Review my crypto portfolio and help me optimize:\n> \n> Holdings: 2 BTC, 15 ETH, 5000 SOL, 10000 LINK, 50000 ARB\n> Total value: ~$300K\n> Risk tolerance: Moderate (I can handle 30% drawdowns but not 70%)\n> Time horizon: 2+ years\n> \n> Analyze: concentration risk, correlation, sector exposure, and suggest rebalancing.\n> Should I add any positions for better diversification?\"\n\n---\n\n## Tips for Better Crypto Research\n\n1. **Be specific about what you need**: \"Analyze SOL\" is broad. \"Analyze Solana's network performance and validator economics post-Firedancer\" is focused.\n\n2. **State your experience level**: \"I'm new to DeFi\" vs \"I understand impermanent loss\" changes the depth of explanation.\n\n3. **Mention your purpose**: \"For a $10K investment decision\" vs \"For a research article\" shapes the output.\n\n4. **Ask for honest assessments**: CellCog doesn't shill. Explicitly asking \"what could go wrong?\" gets you balanced analysis.\n\n5. **Timeframe matters**: \"Next month\" vs \"next 2 years\" leads to very different analysis.\n\n6. **Don't trust, verify**: Use CellCog's research as a starting point. Always verify on-chain data with primary sources before making financial decisions.\n\n---\n\n## If CellCog is not installed\n\n**Cursor:** Run `/cellcog-setup` to install and authenticate.\n**OpenClaw:** Run `clawhub install cellcog` for SDK setup.\n**Other agents:** `pip install -U cellcog` and set `CELLCOG_API_KEY`. See the **cellcog** skill for SDK reference.\n\nFile v1.0.10:_meta.json\n\n{\n \"ownerId\": \"kn7a96cj9q65e0bhmzahv790en80ffqm\",\n \"slug\": \"crypto-research-cellcog\",\n \"version\": \"1.0.10\",\n \"publishedAt\": 1776042034162\n}\n\nArchive v1.0.9: 2 files, 4814 bytes\n\nFiles: SKILL.md (9640b), _meta.json (142b)\n\nFile v1.0.9:SKILL.md\n\n---\nname: crypto-cog\ndescription: \"Powered by CellCog. Crypto and DeFi research. Token analysis, on-chain metrics, DeFi protocol breakdowns, wallet reviews, market sentiment, whitepaper analysis, and smart contract evaluation.\"\nmetadata:\n openclaw:\n emoji: \"πͺ\"\n os: [darwin, linux, windows]\nauthor: CellCog\nhomepage: https://cellcog.ai\ndependencies: [cellcog]\n---\n# Crypto Cog - Deep Research for a 24/7 Market\n\n**The market never sleeps, and neither does your analysis.** #1 on DeepResearch Bench (Apr 2026) applied to crypto.\n\nCrypto 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 β 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.\n\n## How to Use\n\nFor your first CellCog task in a session, read the **cellcog** skill for the full SDK reference β file handling, chat modes, timeouts, and more.\n\n**OpenClaw (fire-and-forget):**\n```python\nresult = client.create_chat(\n prompt=\"[your task prompt]\",\n notify_session_key=\"agent:main:main\",\n task_label=\"my-task\",\n chat_mode=\"agent\",\n)\n```\n\n**Cursor / Claude Code / Other agents (blocks until done):**\n```python\nresult = client.create_chat(\n prompt=\"[your task prompt]\",\n task_label=\"my-task\",\n chat_mode=\"agent\",\n)\nprint(result[\"message\"])\n```\n\n\n---\n\n## What Crypto Research You Can Do\n\n### Token Analysis\n\nDeep dives into any token or project:\n\n- **Fundamental Analysis**: \"Analyze Solana β technology, ecosystem growth, validator economics, and competitive positioning vs Ethereum L2s\"\n- **Tokenomics Review**: \"Break down Arbitrum's tokenomics β supply schedule, inflation, governance power, and value accrual mechanisms\"\n- **New Token Research**: \"Research this new AI token that just launched β team, backers, tokenomics, red flags, and honest assessment\"\n- **Comparative Analysis**: \"Compare L2 solutions: Arbitrum vs Optimism vs Base vs zkSync β TVL, transactions, developer activity, and token performance\"\n\n**Example prompt:**\n> \"Create a comprehensive analysis of Ethereum's current state:\n> \n> Cover:\n> - Network metrics: TVL, daily transactions, gas trends, staking ratio\n> - Post-merge economics: ETH supply dynamics, burn rate, is it deflationary?\n> - L2 ecosystem impact on mainnet revenue\n> - Competitor positioning vs Solana, Avalanche, Cosmos\n> - Key upcoming catalysts and risks\n> - Bull and bear thesis for the next 12 months\n> \n> Deliver as an interactive HTML report with charts.\"\n\n### DeFi Protocol Research\n\nUnderstand protocols before you ape in:\n\n- **Protocol Deep Dives**: \"Analyze Aave V3 β how it works, risk parameters, yield mechanics, and governance\"\n- **Yield Analysis**: \"Compare yield opportunities across Lido, Rocket Pool, and Coinbase cbETH β risks, returns, and tradeoffs\"\n- **Risk Assessment**: \"Evaluate the smart contract risk of this new DEX β audit status, TVL history, team background\"\n- **Ecosystem Mapping**: \"Map the Cosmos ecosystem β key protocols, IBC activity, and where value is concentrating\"\n\n**Example prompt:**\n> \"Research Uniswap V4:\n> \n> - What's new vs V3? Hook system explained\n> - Impact on LP profitability\n> - Fee switch status and UNI token value accrual\n> - Volume and market share trends\n> - Competition from aggregators and new DEXes\n> - Developer adoption of the hooks framework\n> \n> Clear, no-BS analysis. I want to understand if the upgrade actually matters.\"\n\n### On-Chain & Market Intelligence\n\nData-driven market understanding:\n\n- **Whale Tracking**: \"What are the largest ETH wallets doing this month? Accumulating or distributing?\"\n- **Market Sentiment**: \"Analyze current crypto market sentiment β funding rates, Fear & Greed index, social activity, and exchange flows\"\n- **Narrative Research**: \"What are the emerging crypto narratives for this quarter? AI tokens, RWA, DePIN β which have substance?\"\n- **Exchange Analysis**: \"Compare DEX vs CEX volume trends over the last 6 months β is DeFi gaining share?\"\n\n### Portfolio & Strategy\n\nManage your crypto positions:\n\n- **Portfolio Review**: \"Analyze my portfolio: 50% ETH, 20% SOL, 15% LINK, 10% ARB, 5% PEPE β diversification, risk, and rebalancing suggestions\"\n- **Entry/Exit Strategy**: \"Help me think through an accumulation strategy for Bitcoin at current prices β DCA schedule, key levels, position sizing\"\n- **Tax Optimization**: \"Research crypto tax strategies for US residents β harvest losses, long-term vs short-term, staking income treatment\"\n- **Risk Management**: \"Design a risk framework for a $100K crypto portfolio β position sizing, stop losses, correlation analysis\"\n\n### Whitepaper & Smart Contract Analysis\n\nDue diligence on new projects:\n\n- **Whitepaper Review**: \"Analyze this project's whitepaper β is the technology feasible? Are the claims realistic? Red flags?\"\n- **Smart Contract Evaluation**: \"Review the security profile of this protocol β audits, bug bounties, incident history, code quality indicators\"\n- **Team Research**: \"Research the founding team of this new L1 β backgrounds, previous projects, VC backers, credibility assessment\"\n- **Comparison Research**: \"This new protocol claims to be better than Aave. Analyze their claims vs reality.\"\n\n---\n\n## Output Formats\n\n| Format | Best For |\n|--------|----------|\n| **Interactive HTML Dashboard** | Token dashboards with charts, metrics, drill-downs |\n| **PDF Report** | Shareable research reports and investment memos |\n| **XLSX Spreadsheet** | Portfolio trackers, tokenomics models, yield comparisons |\n| **Markdown** | Quick analysis for integration into your notes |\n\n---\n\n## Chat Mode for Crypto\n\n| Scenario | Recommended Mode |\n|----------|------------------|\n| Quick price checks, simple token lookups, basic metrics | `\"agent\"` |\n| Deep token analysis, DeFi research, ecosystem mapping, portfolio strategy | `\"agent team\"` |\n| Institutional due diligence, high-stakes portfolio decisions, regulatory analysis | `\"agent team max\"` |\n\n**Use `\"agent team\"` for most crypto research.** The crypto space requires synthesizing information from many sources β protocol docs, on-chain data, market analysis, social sentiment. Agent team mode delivers the multi-source depth that serious crypto research demands.\n\n**Use `\"agent\"` for quick lookups** β current prices, basic metrics, or simple factual questions.\n\n**Use `\"agent team max\"` for institutional-grade crypto work** β 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 β₯2,000 credits.\n\n---\n\n## Example Prompts\n\n**Token deep dive:**\n> \"Create a full research report on Chainlink (LINK):\n> \n> - Oracle technology explained simply\n> - CCIP and its implications for cross-chain DeFi\n> - Staking economics β real yields, participation rate\n> - Competition: Pyth, API3, Band β does Chainlink's moat hold?\n> - Revenue model and path to sustainability\n> - Token price performance vs fundamentals\n> \n> Honest assessment. I want to know both the bull case and what could go wrong.\"\n\n**DeFi yield research:**\n> \"Compare the best yield opportunities for stablecoins right now:\n> \n> - Aave/Compound lending\n> - Curve/Convex liquidity provision\n> - Ethena sUSDe\n> - Sky (MakerDAO) savings rate\n> - RWA-backed yields\n> \n> For each: current APY, risk level, lock-up requirements, smart contract risk, and minimum recommended allocation.\n> \n> I have $50K in USDC. What's the optimal split for risk-adjusted yield?\"\n\n**Market narrative analysis:**\n> \"Research the current state of AI tokens (TAO, RENDER, FET, NEAR, etc.):\n> \n> - What's the actual thesis for AI x Crypto?\n> - Which projects have real usage vs pure narrative?\n> - On-chain metrics: users, transactions, revenue\n> - VC activity and funding in this sector\n> - Is this the next DeFi Summer or the next metaverse hype?\n> \n> Give me the honest picture. I want signal, not hype.\"\n\n**Portfolio assessment:**\n> \"Review my crypto portfolio and help me optimize:\n> \n> Holdings: 2 BTC, 15 ETH, 5000 SOL, 10000 LINK, 50000 ARB\n> Total value: ~$300K\n> Risk tolerance: Moderate (I can handle 30% drawdowns but not 70%)\n> Time horizon: 2+ years\n> \n> Analyze: concentration risk, correlation, sector exposure, and suggest rebalancing.\n> Should I add any positions for better diversification?\"\n\n---\n\n## Tips for Better Crypto Research\n\n1. **Be specific about what you need**: \"Analyze SOL\" is broad. \"Analyze Solana's network performance and validator economics post-Firedancer\" is focused.\n\n2. **State your experience level**: \"I'm new to DeFi\" vs \"I understand impermanent loss\" changes the depth of explanation.\n\n3. **Mention your purpose**: \"For a $10K investment decision\" vs \"For a research article\" shapes the output.\n\n4. **Ask for honest assessments**: CellCog doesn't shill. Explicitly asking \"what could go wrong?\" gets you balanced analysis.\n\n5. **Timeframe matters**: \"Next month\" vs \"next 2 years\" leads to very different analysis.\n\n6. **Don't trust, verify**: Use CellCog's research as a starting point. Always verify on-chain data with primary sources before making financial decisions.\n\n---\n\n## If CellCog is not installed\n\n**Cursor:** Run `/cellcog-setup` to install and authenticate.\n**OpenClaw:** Run `clawhub install cellcog` for SDK setup.\n**Other agents:** `pip install -U cellcog` and set `CELLCOG_API_KEY`. See the **cellcog** skill for SDK reference.\n\nFile v1.0.9:_meta.json\n\n{\n \"ownerId\": \"kn7a96cj9q65e0bhmzahv790en80ffqm\",\n \"slug\": \"crypto-research-cellcog\",\n \"version\": \"1.0.9\",\n \"publishedAt\": 1776036910786\n}\n\nArchive v1.0.8: 2 files, 4780 bytes\n\nFiles: SKILL.md (9756b), _meta.json (142b)\n\nFile v1.0.8:SKILL.md\n\n---\nname: crypto-cog\ndescription: \"The market never sleeps, and neither does your analysis. #1 on DeepResearch Bench (Apr 2026) applied to crypto β token deep-dives, on-chain metrics, DeFi protocol breakdowns, wallet portfolio reviews, market sentiment research, whitepaper analysis, and smart contract evaluation. From degen plays to institutional due diligence, one prompt covers it all.\"\nmetadata:\n openclaw:\n emoji: \"πͺ\"\n os: [darwin, linux, windows]\nauthor: CellCog\nhomepage: https://cellcog.ai\ndependencies: [cellcog]\n---\n\n# Crypto Cog - Deep Research for a 24/7 Market\n\n**The market never sleeps, and neither does your analysis.** #1 on DeepResearch Bench (Apr 2026) applied to crypto.\n\nCrypto 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 β 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.\n\n---\n\n## Prerequisites\n\nThis skill requires the `cellcog` skill for SDK setup and API calls.\n\n```bash\nclawhub install cellcog\n```\n\n**Read the cellcog skill first** for SDK setup. This skill shows you what's possible.\n\n**OpenClaw agents (fire-and-forget β recommended for long tasks):**\n```python\nresult = client.create_chat(\n prompt=\"[your task prompt]\",\n notify_session_key=\"agent:main:main\", # OpenClaw only\n task_label=\"my-task\",\n chat_mode=\"agent\", # See cellcog skill for all modes\n)\n```\n\n**All other agents (blocks until done):**\n```python\nresult = client.create_chat(\n prompt=\"[your task prompt]\",\n task_label=\"my-task\",\n chat_mode=\"agent\",\n)\n```\n\nSee the **cellcog** mothership skill for complete SDK API reference β delivery modes, timeouts, file handling, and more.\n\n---\n\n## What Crypto Research You Can Do\n\n### Token Analysis\n\nDeep dives into any token or project:\n\n- **Fundamental Analysis**: \"Analyze Solana β technology, ecosystem growth, validator economics, and competitive positioning vs Ethereum L2s\"\n- **Tokenomics Review**: \"Break down Arbitrum's tokenomics β supply schedule, inflation, governance power, and value accrual mechanisms\"\n- **New Token Research**: \"Research this new AI token that just launched β team, backers, tokenomics, red flags, and honest assessment\"\n- **Comparative Analysis**: \"Compare L2 solutions: Arbitrum vs Optimism vs Base vs zkSync β TVL, transactions, developer activity, and token performance\"\n\n**Example prompt:**\n> \"Create a comprehensive analysis of Ethereum's current state:\n> \n> Cover:\n> - Network metrics: TVL, daily transactions, gas trends, staking ratio\n> - Post-merge economics: ETH supply dynamics, burn rate, is it deflationary?\n> - L2 ecosystem impact on mainnet revenue\n> - Competitor positioning vs Solana, Avalanche, Cosmos\n> - Key upcoming catalysts and risks\n> - Bull and bear thesis for the next 12 months\n> \n> Deliver as an interactive HTML report with charts.\"\n\n### DeFi Protocol Research\n\nUnderstand protocols before you ape in:\n\n- **Protocol Deep Dives**: \"Analyze Aave V3 β how it works, risk parameters, yield mechanics, and governance\"\n- **Yield Analysis**: \"Compare yield opportunities across Lido, Rocket Pool, and Coinbase cbETH β risks, returns, and tradeoffs\"\n- **Risk Assessment**: \"Evaluate the smart contract risk of this new DEX β audit status, TVL history, team background\"\n- **Ecosystem Mapping**: \"Map the Cosmos ecosystem β key protocols, IBC activity, and where value is concentrating\"\n\n**Example prompt:**\n> \"Research Uniswap V4:\n> \n> - What's new vs V3? Hook system explained\n> - Impact on LP profitability\n> - Fee switch status and UNI token value accrual\n> - Volume and market share trends\n> - Competition from aggregators and new DEXes\n> - Developer adoption of the hooks framework\n> \n> Clear, no-BS analysis. I want to understand if the upgrade actually matters.\"\n\n### On-Chain & Market Intelligence\n\nData-driven market understanding:\n\n- **Whale Tracking**: \"What are the largest ETH wallets doing this month? Accumulating or distributing?\"\n- **Market Sentiment**: \"Analyze current crypto market sentiment β funding rates, Fear & Greed index, social activity, and exchange flows\"\n- **Narrative Research**: \"What are the emerging crypto narratives for this quarter? AI tokens, RWA, DePIN β which have substance?\"\n- **Exchange Analysis**: \"Compare DEX vs CEX volume trends over the last 6 months β is DeFi gaining share?\"\n\n### Portfolio & Strategy\n\nManage your crypto positions:\n\n- **Portfolio Review**: \"Analyze my portfolio: 50% ETH, 20% SOL, 15% LINK, 10% ARB, 5% PEPE β diversification, risk, and rebalancing suggestions\"\n- **Entry/Exit Strategy**: \"Help me think through an accumulation strategy for Bitcoin at current prices β DCA schedule, key levels, position sizing\"\n- **Tax Optimization**: \"Research crypto tax strategies for US residents β harvest losses, long-term vs short-term, staking income treatment\"\n- **Risk Management**: \"Design a risk framework for a $100K crypto portfolio β position sizing, stop losses, correlation analysis\"\n\n### Whitepaper & Smart Contract Analysis\n\nDue diligence on new projects:\n\n- **Whitepaper Review**: \"Analyze this project's whitepaper β is the technology feasible? Are the claims realistic? Red flags?\"\n- **Smart Contract Evaluation**: \"Review the security profile of this protocol β audits, bug bounties, incident history, code quality indicators\"\n- **Team Research**: \"Research the founding team of this new L1 β backgrounds, previous projects, VC backers, credibility assessment\"\n- **Comparison Research**: \"This new protocol claims to be better than Aave. Analyze their claims vs reality.\"\n\n---\n\n## Output Formats\n\n| Format | Best For |\n|--------|----------|\n| **Interactive HTML Dashboard** | Token dashboards with charts, metrics, drill-downs |\n| **PDF Report** | Shareable research reports and investment memos |\n| **XLSX Spreadsheet** | Portfolio trackers, tokenomics models, yield comparisons |\n| **Markdown** | Quick analysis for integration into your notes |\n\n---\n\n## Chat Mode for Crypto\n\n| Scenario | Recommended Mode |\n|----------|------------------|\n| Quick price checks, simple token lookups, basic metrics | `\"agent\"` |\n| Deep token analysis, DeFi research, ecosystem mapping, portfolio strategy | `\"agent team\"` |\n| Institutional due diligence, high-stakes portfolio decisions, regulatory analysis | `\"agent team max\"` |\n\n**Use `\"agent team\"` for most crypto research.** The crypto space requires synthesizing information from many sources β protocol docs, on-chain data, market analysis, social sentiment. Agent team mode delivers the multi-source depth that serious crypto research demands.\n\n**Use `\"agent\"` for quick lookups** β current prices, basic metrics, or simple factual questions.\n\n**Use `\"agent team max\"` for institutional-grade crypto work** β 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 β₯2,000 credits.\n\n---\n\n## Example Prompts\n\n**Token deep dive:**\n> \"Create a full research report on Chainlink (LINK):\n> \n> - Oracle technology explained simply\n> - CCIP and its implications for cross-chain DeFi\n> - Staking economics β real yields, participation rate\n> - Competition: Pyth, API3, Band β does Chainlink's moat hold?\n> - Revenue model and path to sustainability\n> - Token price performance vs fundamentals\n> \n> Honest assessment. I want to know both the bull case and what could go wrong.\"\n\n**DeFi yield research:**\n> \"Compare the best yield opportunities for stablecoins right now:\n> \n> - Aave/Compound lending\n> - Curve/Convex liquidity provision\n> - Ethena sUSDe\n> - Sky (MakerDAO) savings rate\n> - RWA-backed yields\n> \n> For each: current APY, risk level, lock-up requirements, smart contract risk, and minimum recommended allocation.\n> \n> I have $50K in USDC. What's the optimal split for risk-adjusted yield?\"\n\n**Market narrative analysis:**\n> \"Research the current state of AI tokens (TAO, RENDER, FET, NEAR, etc.):\n> \n> - What's the actual thesis for AI x Crypto?\n> - Which projects have real usage vs pure narrative?\n> - On-chain metrics: users, transactions, revenue\n> - VC activity and funding in this sector\n> - Is this the next DeFi Summer or the next metaverse hype?\n> \n> Give me the honest picture. I want signal, not hype.\"\n\n**Portfolio assessment:**\n> \"Review my crypto portfolio and help me optimize:\n> \n> Holdings: 2 BTC, 15 ETH, 5000 SOL, 10000 LINK, 50000 ARB\n> Total value: ~$300K\n> Risk tolerance: Moderate (I can handle 30% drawdowns but not 70%)\n> Time horizon: 2+ years\n> \n> Analyze: concentration risk, correlation, sector exposure, and suggest rebalancing.\n> Should I add any positions for better diversification?\"\n\n---\n\n## Tips for Better Crypto Research\n\n1. **Be specific about what you need**: \"Analyze SOL\" is broad. \"Analyze Solana's network performance and validator economics post-Firedancer\" is focused.\n\n2. **State your experience level**: \"I'm new to DeFi\" vs \"I understand impermanent loss\" changes the depth of explanation.\n\n3. **Mention your purpose**: \"For a $10K investment decision\" vs \"For a research article\" shapes the output.\n\n4. **Ask for honest assessments**: CellCog doesn't shill. Explicitly asking \"what could go wrong?\" gets you balanced analysis.\n\n5. **Timeframe matters**: \"Next month\" vs \"next 2 years\" leads to very different analysis.\n\n6. **Don't trust, verify**: Use CellCog's research as a starting point. Always verify on-chain data with primary sources before making financial decisions.\n\nFile v1.0.8:_meta.json\n\n{\n \"ownerId\": \"kn7a96cj9q65e0bhmzahv790en80ffqm\",\n \"slug\": \"crypto-research-cellcog\",\n \"version\": \"1.0.8\",\n \"publishedAt\": 1775627866655\n}","readmeExcerpt":"Skill: Crypto Research Owner: cellcog Summary: AI crypto research and analysis powered by CellCog. Token deep-dives, on-chain metrics, DeFi protocol breakdowns, wallet portfolio reviews, market sentiment, whitepaper analysis, smart contract evaluation. Comprehensive crypto intelligence from a single prompt. Tags: latest:1.0.17 Version history: v1.0.17 | 2026-08-24T02:03:19.100Z | user Content updated. v1.0.16 | 2026-","codeSnippets":[],"executableExamples":[{"language":"python","snippet":"result = client.create_chat(\n prompt=\"[your task prompt]\",\n notify_session_key=\"agent:main:main\",\n task_label=\"my-task\",\n chat_mode=\"team\",\n)"},{"language":"python","snippet":"from cellcog import CellCogClient\nclient = CellCogClient(agent_provider=\"openclaw|cursor|claude-code|codex|...\")\nresult = client.create_chat(\n prompt=\"[your task prompt]\",\n task_label=\"my-task\",\n chat_mode=\"team\",\n)\nprint(result[\"message\"])"},{"language":"python","snippet":"result = client.create_chat(\n prompt=\"[your task prompt]\",\n notify_session_key=\"agent:main:main\",\n task_label=\"my-task\",\n chat_mode=\"team\",\n)"},{"language":"python","snippet":"from cellcog import CellCogClient\nclient = CellCogClient(agent_provider=\"openclaw|cursor|claude-code|codex|...\")\nresult = client.create_chat(\n prompt=\"[your task prompt]\",\n task_label=\"my-task\",\n chat_mode=\"team\",\n)\nprint(result[\"message\"])"},{"language":"python","snippet":"result = client.create_chat(\n prompt=\"[your task prompt]\",\n notify_session_key=\"agent:main:main\",\n task_label=\"my-task\",\n chat_mode=\"agent\",\n)"},{"language":"python","snippet":"from cellcog import CellCogClient\nclient = CellCogClient(agent_provider=\"openclaw|cursor|claude-code|codex|...\")\nresult = client.create_chat(\n prompt=\"[your task prompt]\",\n task_label=\"my-task\",\n chat_mode=\"agent\",\n)\nprint(result[\"message\"])"}],"parameters":null,"dependencies":[],"permissions":[],"extractedFiles":[{"path":"SKILL.md","content":"---\nname: crypto-research-cellcog\ndescription: \"AI crypto research and analysis powered by CellCog. Token deep-dives, on-chain metrics, DeFi protocol breakdowns, wallet portfolio reviews, market sentiment, whitepaper analysis, smart contract evaluation. Comprehensive crypto intelligence from a single prompt.\"\nmetadata:\n openclaw:\n emoji: \"πͺ\"\n os: [darwin, linux, windows]\n requires:\n bins: [python3]\n env: [CELLCOG_API_KEY]\nauthor: CellCog\nhomepage: https://cellcog.ai\ndependencies: [cellcog]\n---\n# Crypto Research - Deep Research for a 24/7 Market\n\n**The market never sleeps, and neither does your analysis.** #1 on DeepResearch Bench (Apr 2026) applied to crypto.\n\nCrypto 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 β 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.\n\n## How to Use\n\nFor your first CellCog task in a session, read the **cellcog** skill for the full SDK reference β file handling, chat modes, timeouts, and more.\n\n**OpenClaw (fire-and-forget):**\n```python\nresult = client.create_chat(\n prompt=\"[your task prompt]\",\n notify_session_key=\"agent:main:main\",\n task_label=\"my-task\",\n chat_mode=\"team\",\n)\n```\n\n**All agents except OpenClaw (blocks until done):**\n```python\nfrom cellcog import CellCogClient\nclient = CellCogClient(agent_provider=\"openclaw|cursor|claude-code|codex|...\")\nresult = client.create_chat(\n prompt=\"[your task prompt]\",\n task_label=\"my-task\",\n chat_mode=\"team\",\n)\nprint(result[\"message\"])\n```\n\n\n---\n\n## What Crypto Research You Can Do\n\n### Token Analysis\n\nDeep dives into any token or project:\n\n- **Fundamental Analysis**: \"Analyze Solana β technology, ecosystem growth, validator economics, and competitive positioning vs Ethereum L2s\"\n- **Tokenomics Review**: \"Break down Arbitrum's tokenomics β supply schedule, inflation, governance power, and value accrual mechanisms\"\n- **New Token Research**: \"Research this new AI token that just launched β team, backers, tokenomics, red flags, and honest assessment\"\n- **Comparative Analysis**: \"Compare L2 solutions: Arbitrum vs Optimism vs Base vs zkSync β TVL, transactions, developer activity, and token performance\"\n\n**Example prompt:**\n> \"Create a comprehensive analysis of Ethereum's current state:\n> \n> Cover:\n> - Network metrics: TVL, daily transactions, gas trends, staking ratio\n> - Post-merge economics: ETH supply dynamics, burn rate, is it deflationary?\n> - L2 ecosystem impact on mainnet revenue\n> - Competitor positioning vs Solana, Avalanche, Cosmos\n> - Key upcoming catalysts and risks\n> - Bull and bear thesis for the next 12 months\n> \n> Deliver as an interactive HTML report with charts.\"\n\n### DeFi Protocol Research\n\nUnderstand protocols before you ape in:\n\n- **Protocol Deep Dives"},{"path":"_meta.json","content":"{\n \"ownerId\": \"kn7a96cj9q65e0bhmzahv790en80ffqm\",\n \"slug\": \"crypto-research-cellcog\",\n \"version\": \"1.0.17\",\n \"publishedAt\": 1787536999100\n}"},{"path":"skill-card.md","content":"## Description:\n\nAI crypto research and analysis powered by CellCog for token deep-dives, on-chain metrics, DeFi protocol breakdowns, wallet portfolio reviews, market sentiment, whitepaper analysis, and smart contract evaluation.\n\nThis skill is ready for commercial/non-commercial use.\n\n## Publisher:\n\n[cellcog](https://clawhub.ai/user/cellcog)\n\n### License/Terms of Use:\n\nMIT-0\n\n## Use Case:\n\nDevelopers, analysts, and external users use this skill to delegate crypto research tasks to CellCog, including token analysis, DeFi due diligence, on-chain market intelligence, portfolio review, whitepaper analysis, and smart contract evaluation.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: Sensitive crypto portfolio or wallet details could be exposed through prompts.\n\nMitigation: Use ranges or redacted examples and avoid submitting wallet addresses, exact balances, account identifiers, or full portfolio values unless necessary.\n\nRisk: Research output may be incorrect or unsuitable for financial, tax, or investment decisions.\n\nMitigation: Independently verify research, on-chain data, and any financial or tax conclusions before acting.\n\nRisk: Upgrade-style installation commands may pull unreviewed package changes.\n\nMitigation: Verify the CellCog package/source before installation and consider pinning a reviewed version.\n\n## Reference(s):\n\n- [Crypto Research on ClawHub](https://clawhub.ai/cellcog/skills/crypto-research-cellcog)\n- [CellCog homepage](https://cellcog.ai)\n\n## Skill Output:\n\n**Output Type(s):** [Text, Markdown, Code, Shell commands, Configuration, Guidance]\n\n**Output Format:** [Markdown with inline code blocks and optional report, dashboard, spreadsheet, or PDF guidance]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [May propose CellCog SDK calls and requires CELLCOG_API_KEY for execution.]\n\n## Skill Version(s):\n\n1.0.17 (source: server release evidence)\n\n## Ethical Considerations:\n\nUsers should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment."}],"languages":[],"docsSourceLabel":"CLAWHUB","editorialOverview":"AI crypto research and analysis powered by CellCog. Token deep-dives, on-chain metrics, DeFi protocol breakdowns, wallet portfolio reviews, market sentiment, whitepaper analysis, smart contract evaluation. Comprehensive crypto intelligence from a single prompt. Skill: Crypto Research Owner: cellcog Summary: AI crypto research and analysis powered by CellCog. Token deep-dives, on-chain metrics, DeFi protocol breakdowns, wallet portfolio reviews, market sentiment, whitepaper analysis, smart contract evaluation. Comprehensive crypto intelligence from a single prompt. 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