crypto narrative reality check
by nowrich
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
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
- Subnet emission centralization > 50%.
- Zero GitHub activity for 30 days.
8. Reality Check Score
Score: 6/10 Confidence: Medium
What you get
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General LLMs often repeat popular sentiment or outdated news found in their training data.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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