Conduct comprehensive fundamental analysis on crypto tokens covering team, technology, tokenomics, competitive landscape, and investment thesis evaluation.
Install
npx skillscat add nirholas/three-ws/token-research Install via the SkillsCat registry.
SKILL.md
Token Research
When to use this skill
Use when the user asks about:
- Researching a specific token or project
- Evaluating whether a token is worth investing in
- Understanding a project's fundamentals
- Performing due diligence on a new crypto project
- Comparing token fundamentals across competing projects
Research Framework
1. Project Overview
Establish the basics:
- What does this project do? — one-paragraph summary in plain language
- Problem being solved — what specific pain point does it address?
- Solution approach — how does the technology solve it?
- Chain and ecosystem — which blockchain, L1/L2, and ecosystem position
- Stage — mainnet, testnet, concept? How long has it been live?
- Unique value proposition — what differentiates it from alternatives?
2. Team and Governance
Evaluate the people and organization:
- Core team — public identities, relevant experience, previous projects
- Advisors — notable advisors and their actual involvement level
- Development activity — GitHub commits, active contributors count (30d, 90d)
- Governance model — on-chain governance, multisig, foundation-controlled?
- Transparency — does the team communicate regularly? Public roadmap?
- Red flags — anonymous team with no track record, previous failed projects, legal issues
3. Technology Assessment
Analyze the technical architecture:
- Consensus mechanism or core technical innovation
- Scalability — throughput, latency, and roadmap for improvements
- Security — audit history, bug bounty program, incident history
- Composability — integrations with other protocols and ecosystem fit
- Technical differentiation — what is novel vs fork of existing tech?
- Open source — is code public and verifiable?
4. Tokenomics Deep Dive
Break down the token economy:
- Total supply and circulating supply
- Emission schedule — inflation rate over 1, 2, 5 years
- Distribution — team %, investors %, community %, treasury %
- Vesting schedules — when do large unlocks occur? (upcoming cliff dates)
- Utility — what does the token actually do? (governance, fees, staking, collateral)
- Value accrual — does protocol revenue flow to token holders? How?
- Buyback/burn mechanisms — any deflationary pressures?
- Fully diluted valuation vs current market cap — how much dilution ahead?
5. Market and Competitive Analysis
Position within the broader market:
- Market category — DeFi, L1, NFT infra, oracle, etc.
- Direct competitors — list 3-5 with brief comparison
- Market share — TVL, volume, users relative to competitors
- Competitive advantages — moats, network effects, switching costs
- Market cap ranking — within its category
- Growth trajectory — user growth, TVL growth, volume growth trends
6. On-Chain Metrics
Current health indicators:
- Active addresses (daily, weekly) and trend
- Transaction volume and fees generated
- TVL if applicable, and TVL/market cap ratio
- Holder distribution — concentration among top wallets
- Smart money activity — are prominent wallets accumulating or distributing?
7. Risk Assessment
Identify and rate key risks:
- Technical risk — unproven tech, single point of failure
- Market risk — category headwinds, competition pressure
- Regulatory risk — securities classification, jurisdiction issues
- Tokenomics risk — upcoming unlocks, high inflation, VC overhang
- Execution risk — can the team deliver on roadmap?
- Liquidity risk — thin order books, limited exchange listings
8. Output Format
- Project: Name and ticker
- Category: Market segment
- Summary: 2-3 sentence thesis
- Strengths: Top 3 positives
- Risks: Top 3 concerns
- Tokenomics verdict: Healthy / Concerning / Poor
- Valuation assessment: Undervalued / Fair / Overvalued (relative to peers)
- Conviction level: High / Medium / Low
- Suggested action: Research further / Small position / Conviction buy / Avoid