web3tech

Crypto project research, new coin discovery, due diligence, developer analysis, whitepaper validation, code similarity checks, and AI-powered development monitoring — all via the web3tech MCP server.

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Install skill "web3tech" with this command: npx skills add one0000u/web3tech

Web3Tech Crypto Research

Use this skill for crypto project research with the web3tech MCP server.

Before You Start

  • Check whether the web3tech MCP server is available.
  • If unavailable, say so briefly and continue with a best-effort fallback.
  • Do not invent missing metrics, rankings, timelines, whitepaper facts, or developer history.

Choose the Right Path

User wantsStart with
Project due diligence, comparison, technical riskreferences/due-diligence.md
New coin discovery, novelty screening, watchlistreferences/new-coin-screening.md
Output formattingreferences/output-templates.md

Tool Rules

  • web3tech_search_coins — resolve naming ambiguity only.
  • web3tech_coin_analysis — default baseline for any serious research.
  • web3tech_top_analyzed_coins — discover high-quality projects with existing scores.
  • web3tech_hot_coins — find trending projects by views and community activity.
  • web3tech_new_coins — source candidates, not final judgments.
  • web3tech_new_coin_detail — review before branching into deeper diligence.
  • web3tech_search_developers — find developers by name or GitHub handle.
  • web3tech_project_developers — list before profiling individuals.
  • web3tech_developer_profile — only for contributors that materially affect the answer.
  • web3tech_project_timeline — when recent execution quality matters.
  • web3tech_supervision_overview — AI daily development health check.
  • web3tech_code_similarity — when originality, fork risk, or code reuse matters.
  • web3tech_whitepaper_analysis — when claims, feasibility, or tokenomics matter.
  • web3tech_knowledge_search — interpret technical concepts, not replace project evidence.

Efficiency

  • Due diligence: 3–6 tool calls.
  • New coin screening: 3–8 tool calls.
  • Do not run deep tools on every candidate from a broad search.
  • Stop once you have enough evidence for a defensible answer.

Output Rules

  • Evidence-first conclusions.
  • Separate observed facts from interpretation.
  • If evidence is mixed or thin, say so explicitly.
  • Treat novelty as a lead, not proof.
  • Do not present early-stage projects as validated winners.

Source Transparency

This detail page is rendered from real SKILL.md content. Trust labels are metadata-based hints, not a safety guarantee.

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