Yield Farming Analysis

SkillSecurity

Analyze DeFi yield farming opportunities including APY breakdown, risk assessment, smart contract security, and impermanent loss estimation.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the Yield Farming Analysis skill

What this skill tells your AI

The instructions your AI receives, as published by nirholas/three.ws in data/skills/defi/yield-farming-analysis/SKILL.md and read by ahel’s review.

When to use this skill

Use when the user asks about:

  • Evaluating yield farming opportunities
  • Comparing DeFi yields across protocols
  • Assessing farming risks and sustainability
  • Calculating impermanent loss for a token pair
  • Finding the best yield for a given asset or pair

Analysis Framework

1. Opportunity Overview

Gather and present:

  • Protocol name, chain, and deployment history
  • Pool composition (token pair or single-sided)
  • Current APY/APR with base vs incentive breakdown
  • TVL (Total Value Locked) and recent trend
  • Pool age and historical APY stability over 7d, 30d, 90d

2. Yield Breakdown

Decompose the advertised yield into:

  • Base trading fee APY — derived from actual volume
  • Incentive token APY — farming reward emissions
  • Compounding frequency — auto-compound available?
  • Sustainability check — review emissions schedule, token inflation rate, and runway
  • Comparative yield — how does this compare to similar pools on other protocols?

3. Risk Assessment

Evaluate each factor systematically:

Risk FactorWhat to Check
Smart contract audit statusAudited by reputable firm? Multiple audits?
Protocol TVL trendGrowing, stable, or declining over 30d?
Token emission scheduleInflationary pressure on reward token?
Impermanent loss exposureHigh volatility pair or correlated assets?
Admin key riskMultisig with timelock? Or single EOA?
Oracle dependencyWhich oracle? Redundancy?
Liquidity depthCan the user exit at size without significant slippage?
Chain riskBridge dependencies, L2 sequencer risk?

4. Impermanent Loss Estimation

For the given token pair, calculate IL scenarios:

  • Retrieve current price ratio between the two assets
  • Pull historical volatility (30d and 90d)
  • Compute correlation coefficient if data available
  • Present IL at these price divergence levels:
    • ±10% divergence: ~0.11% IL
    • ±25% divergence: ~0.6% IL
    • ±50% divergence: ~2.0% IL
    • ±100% divergence: ~5.7% IL
  • Compare estimated IL against yield to determine net profitability

5. Output Format

Provide a structured recommendation:

  • Protocol: Name and chain
  • Pool: Token pair and fee tier
  • Current APY: X% (base Y% + rewards Z%)
  • Verdict: Strong / Moderate / Weak / Avoid
  • Expected net APY: After estimated IL
  • Risk level: Low / Medium / High / Very High
  • Suggested allocation: Percentage of portfolio (never more than 10% in a single farm)
  • Minimum lock awareness: Any withdrawal fees or lock periods
  • Exit conditions: Specific triggers for when to withdraw (reward token drops X%, TVL drops below Y, APY falls below Z)

Signals

GitHub stars
114
Forks
29
Last commit
Sep 2026
Advanced
Catalog kind
skill
Gateway key
yield-farming-analysis
Source
github.com/nirholas/three.ws