Token Research

SkillCommerce & finance

Conduct comprehensive fundamental analysis on crypto tokens covering team, technology, tokenomics, competitive landscape, and investment thesis evaluation.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the Token Research skill

What this skill tells your AI

The instructions your AI receives, as published by nirholas/three.ws in data/skills/analysis/token-research/SKILL.md and read by ahel’s review.

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

Signals

GitHub stars
114
Forks
29
Last commit
Sep 2026
Advanced
Catalog kind
skill
Gateway key
token-research
Source
github.com/nirholas/three.ws