For Lenders & LPs
Phase 1: Structural Risk Assessment (Mental Model)
User Intent: Evaluate the fundamental architecture to determine if the risk segregation meets investment mandates.
"How is liability vs. asset risk structured?"
Segregated Risk Architecture. The protocol decouples passive liquidity (Pool) from active risk strategies (Credit Managers). A failure in one strategy is contained by its specific debt ceiling, protecting the broader pool.
"Is the deployment canonical?"
Omni-EVM Architecture. Gearbox utilizes a modular deployment model. Each chain operates as an independent, verified instance rather than a bridged dependency.
Phase 2: Yield Mechanics & Liquidity Risk
User Intent: Analyze the mechanism of yield accrual and the constraints on capital withdrawal.
"How does capital accrue interest?"
The Liquidity Vault. Yield accrues via the Diesel Token (ERC-4626), a non-rebasing interest-bearing token. The exchange rate appreciates as interest is paid by borrowers.
"What drives APY volatility?"
Interest Rate Model. The base rate is dynamic, driven by the utilization curve. The "Kink" ($U_{optimal}$) defines the target efficiency range before rates scale exponentially.
"What is the liquidity risk?"
Utilization Caps. High utilization can temporarily block withdrawals. The Interest Rate Model is designed to force borrower repayment during these periods to restore exit liquidity.
Phase 3: Counterparty Risk & Solvency Enforcement
User Intent: Assess the creditworthiness of the borrowers and the automated enforcement of debt obligations.
"What prevents fund misappropriation?"
Execution Guardrails. Borrowers cannot access funds directly. They operate through Credit Accounts (smart contract wrappers) restricted to whitelisted interactions via Adapters.
"How is solvency enforced?"
Liquidation Dynamics. Solvency is enforced mathematically via the Health Factor ($H_f$). If $H_f < 1$, the protocol incentivizes third-party liquidators to seize collateral and repay debt.
"How are assets valued?"
Price Oracle. Asset valuation relies on normalized price feeds. Understanding the oracle source (Spot vs. TWAP) is critical for modeling liquidation triggers.
Phase 4: Stress Testing & Failure Modes
User Intent: Evaluate system resilience under adverse market conditions (Oracle attacks, Liquidity crunches).
"Is the system resilient to oracle manipulation?"
Smart Oracles. The protocol employs a Dual-Feed architecture (Main vs. Reserve). Significant deviation between feeds blocks sensitive operations to prevent arbitrage.
"How is concentration risk managed?"
Quota Keeper. The protocol enforces Asset-Side Limits. Even if the pool has excess liquidity, exposure to specific volatile assets is capped globally.
"What happens if bad debt occurs?"
Insolvency Resolution. The Loss Policy defines fallback logic (e.g., switching to fundamental pricing) to prevent selling collateral at distressed prices during flash crashes.
Phase 5: Governance & Parameter Security
User Intent: Verify that administrative privileges cannot be exploited to expropriate funds.
"Who controls risk parameters?"
Market Curators. Specific entities manage the risk parameters (LTVs, Limits) for their respective markets.
"Are there protections against malicious updates?"
Timelock Constraints. Critical parameter changes are subject to a mandatory 24-hour timelock, allowing LPs to withdraw capital before changes take effect.
"Who controls the technical infrastructure?"
Instance Owner. A chain-specific multisig acts as the technical gatekeeper for the Price Feed Store, ensuring oracle integrity independent of Market Curators.
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