How does the tool calculate risk scores?

Risk is assessed using a 1-10 scale based on protocol audit status, time in production, Total Value Locked (TVL), validator diversity, and historical slashing events.

Does it account for network transaction fees?

Yes, by providing an amount parameter, the skill calculates the impact of gas costs on your total yield, showing the effective APY after entry and exit costs.

Can it compare liquid staking vs. native staking?

Yes, it specifically highlights the differences in APY, liquidity, and unbonding periods between native staking and derivatives like stETH, sfrxETH, and cbETH.

Which blockchains does this skill support?

It supports major Proof-of-Stake chains including Ethereum, Solana, Cosmos (ATOM), and Polkadot (DOT) by leveraging real-time data from DeFiLlama and StakingRewards.

Is an API key required for this skill?

Basic functionality uses public APIs, but an optional CoinGecko API key can be used for higher rate limits on price data if you are analyzing large sets of assets.

Staking Rewards Optimizer

Name: Staking Rewards Optimizer
Author: Brmbobo

byBrmbobo

0•

Analytics & Monitoring

Compares and optimizes crypto staking rewards across validators and protocols with integrated risk assessment and gas-adjusted yield calculations.

The Staking Rewards Optimizer is a specialized tool designed to maximize returns for proof-of-stake assets by analyzing opportunities across native and liquid staking protocols. It automates the process of fetching real-time APY data from sources like DeFiLlama, calculates true net yields after accounting for protocol fees and gas costs, and provides a multi-factor risk score for each opportunity. Whether you are looking to compare Ethereum liquid staking derivatives or optimize a multi-chain portfolio, this skill provides actionable recommendations and detailed protocol audits to ensure data-driven staking decisions.

Key Features

01Real-time APY comparison between native and liquid staking protocols

020 GitHub stars

03Gas-adjusted yield calculations for specific position sizes

04Portfolio optimization suggestions with switching cost analysis

05Comprehensive risk scoring based on audits, TVL, and historical performance

06Exportable reports in JSON and CSV formats for spreadsheet integration

Use Cases

01Projecting long-term staking returns across multiple assets like SOL, ATOM, and DOT

02Analyzing the most profitable Ethereum liquid staking options after fees

03Auditing existing staking positions to identify higher-yield, lower-risk alternatives

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add brmbobo/web2podcast optimizing-staking-rewards

For use in Claude.ai and ChatGPT

Download Skill