crypto narrative reality check

    by nowrich

    1

    Quantify the gap between crypto hype and fundamental reality with structured audits and invalidation mapping.

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    Works with the AI tools you already use

    CClaude CodeCCursorCCodex CLIGGitHub CopilotGGemini CLI+17 more

    See it in action

    You say

    Reality check the current 'AI + Crypto' narrative for Bittensor (TAO).

    Your agent does

    Reality Check Report: Bittensor (TAO)

    1. Narrative Summary

    Decentralized subnet marketplace for machine learning models.

    7. Invalidation Factors

    1. Subnet emission centralization > 50%.
    2. Zero GitHub activity for 30 days.

    8. Reality Check Score

    Score: 6/10 Confidence: Medium

    What you get

    Audit protocol fundamentals before entering a position.Map token unlock schedules and supply inflation risks.Define quantitative exit triggers for narrative-based trades.Compare competitor adoption metrics within a specific sector.

    About this skill

    The problem

    Crypto markets often trade on hype and social sentiment rather than technical or economic utility. Developers and investors struggle to distinguish between a sustainable growth narrative and a momentum-driven bubble before committing capital or building on a protocol.

    What it does

    • Evaluates narrative momentum against on-chain metrics like active addresses, TVL, and fee generation.
    • Maps imminent and speculative catalysts, categorizing them by impact and time horizon.
    • Analyzes tokenomics to identify extractive vs. incentive-aligned supply schedules and utility.
    • Defines specific invalidation factors and quantitative thresholds that break the investment thesis.
    • Generates a Reality Check Score to rank projects based on fundamental-narrative alignment.

    Why this beats prompting it yourself

    General LLMs often repeat popular sentiment or outdated news found in their training data. This skill enforces a systematic audit that demands verifiable evidence for every claim, preventing the AI from hallucinating bullish bias and forcing a focus on liquidity risks and supply overhangs.

    Use cases

    • Perform due diligence on a trending DeFi protocol before integrating its smart contracts.
    • Compare competing L1/L2 ecosystems based on developer activity and actual usage.
    • Identify early warning signs of narrative exhaustion by monitoring invalidation triggers.
    • Audit token distribution and vesting cliffs for upcoming project launches.

    Known limitations

    Analysis depends on the availability of public on-chain data and official documentation. Private seed round details or non-public regulatory investigations cannot be surfaced.

    How to install

    Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.

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