analyze-burn-economics

What This Skill Does

The analyze-burn-economics skill is a sophisticated analytical engine designed specifically for the Uniswap protocol ecosystem. Unlike raw data scrapers, this skill functions as an automated research analyst. It performs complex cross-referencing between raw on-chain event logs (such as Firepit burn transactions), historical asset pricing, and network gas cost analysis to generate a complete profit and loss (P&L) profile. By synthesizing these disparate data points, it provides governance-grade insights into how protocol fee mechanisms are performing, whether burn frequency is scaling, and how external variables like UNI price volatility impact the net health of the system.

Installation

To integrate this research tool into your agent, execute the following command in your terminal or OpenClaw interface: clawhub install openclaw/skills/skills/wpank/analyze-burn-economics Ensure your environment is configured for Ethereum mainnet connectivity, as this is the designated chain for Uniswap Firepit operations.

Use Cases

This skill is built for governance participants, financial researchers, and protocol observers. It excels at identifying long-term accumulation trends that are not visible through simple block explorer lookups. Use it when you need to evaluate the efficacy of current fee parameters or when preparing data-backed arguments for DAO governance proposals. It acts as a force multiplier, reducing hours of manual spreadsheet compilation into a single, comprehensive report.

Example Prompts

1. "Perform a 180-day analysis of Firepit burns and calculate the average profit per transaction in USD."
2. "What are the current protocol fee trends, and how does the current burn volume compare to last year?"
3. "Analyze the burn economics for the last quarter and provide projections on profitability if the UNI price increases by 20%."

Tips & Limitations

• The skill is strictly read-only and analytical; it cannot execute transactions or modify on-chain state.
• For accurate historical P&L, ensure you specify a clear lookback period using the days parameter.
• The projections provided are sensitivity analyses and should be treated as research estimates rather than guaranteed financial advice.
• If you need real-time monitoring of specific wallet flows, use monitor-tokenjar instead of this skill, as this tool is optimized for retrospective data aggregation.