behavioral-state-analy…
Token-efficient smart contract security auditing via Behavioral State Analysis (BSA). Scopes analysis to contract type, runs only…
Detects price oracle manipulation and flash loan attack vectors in DeFi smart contracts. Classifies oracle trust models (Chainlink, TWAP, spot price, custom), identifies stale price risks, circular price dependencies, and flash loan atomicity exploitation patterns. Use when
$ npx -y skills add quillai-network/quillshield_skills --skill oracle-flashloan-analysis --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/oracle-flashloan-analysisContext preview
The summary Claude sees to decide when to auto-load this skill.
Detects price oracle manipulation and flash loan attack vectors in DeFi smart contracts. Classifies oracle trust models (Chainlink, TWAP, spot price, custom), identifies stale price risks, circular price dependencies, and flash loan atomicity exploitation patterns. Use when
name: oracle-flashloan-analysis description: Detects price oracle manipulation and flash loan attack vectors in DeFi smart contracts. Classifies oracle trust models (Chainlink, TWAP, spot price, custom), identifies stale price risks, circular price dependencies, and flash loan atomicity exploitation patterns. Use when auditing DeFi protocols that depend on price data, oracle integrations, lending protocols, DEXs, derivatives, or any contract where flash loans could manipulate state within a single transaction.
Detect vulnerabilities where **external price data can be manipulated** or **flash loans can exploit protocol logic** within a single transaction. These two attack vectors are often combined and represent the most common DeFi attack pattern.
Not all price sources are equally secure. Oracle vulnerabilities stem from the gap between **assumed trust** and **actual manipulation resistance**.
Trust Level (highest to lowest): ┌─────────────────────────────────────────────┐ │ Level 5: Multi-oracle consensus + circuit │ │ breakers + TWAP + staleness checks │ ├─────────────────────────────────────────────┤ │ Level 4: Chainlink with full validation │ │ (staleness, sequencer, min answers) │ ├─────────────────────────────────────────────┤ │ Level 3: Uniswap V3 TWAP (long window) │ │ Multi-block manipulation cost │ ├─────────────────────────────────────────────┤ │ Level 2: Uniswap V2 TWAP (short window) │ │ or Chainlink WITHOUT staleness check │ ├─────────────────────────────────────────────┤ │ Level 1: Spot price from single pool │ ← Manipulable via flash loan │ or balanceOf() for pricing │ └─────────────────────────────────────────────┘
Locate every point where the contract reads external price/value data.
**Search for these patterns:**
| Pattern | Oracle Type | Risk Level | |---------|------------|------------| | `latestRoundData()` | Chainlink | Medium (depends on validation) | | `latestAnswer()` | Chainlink (deprecated) | HIGH (no round validation) | | `observe()` / `consult()` | Uniswap TWAP | Medium (depends on window) | | `getReserves()` | AMM spot price | **CRITICAL** (flash-loan manipulable) | | `balanceOf(address(this))` | Self-balance | **CRITICAL** (donation attack) | | `slot0()` / `sqrtPriceX96` | Uniswap V3 spot | **CRITICAL** (single-block manipulable) | | Custom `getPrice()` | Unknown | Requires investigation |
**Build an Oracle Dependency Map:**
Contract: LendingPool
├── borrowLimit() → uses getCollateralPrice()
│ └── getCollateralPrice() → calls chainlinkOracle.latestRoundData()
├── liquidate() → uses getDebtPrice()
│ └── getDebtPrice() → calls uniswapPool.slot0() ← SPOT PRICE!
└── calculateInterest() → uses getUtilizationRate()
└── getUtilizationRate() → reads internal state (safe)For each oracle source, verify that proper safety checks are in place.
**Chainlink Validation Checklist:**
// COMPLETE Chainlink integration
(uint80 roundId, int256 price, , uint256 updatedAt, uint80 answeredInRound) =
priceFeed.latestRoundData();
require(price > 0, "Invalid price"); // Check 1: Non-negative
require(updatedAt > 0, "Round not complete"); // Check 2: Round complete
require(answeredInRound >= roundId, "Stale price"); // Check 3: Not stale
require(block.timestamp - updatedAt < HEARTBEAT, // Check 4: Fresh
"Price too old");
// L2-specific
require(!sequencerFeed.isDown(), "Sequencer down"); // Check 5: L2 sequencer
require(block.timestamp - sequencerUptime > GRACE, // Check 6: Grace period
"Grace period");**Missing Check Severity:**
| Missing Check | Severity | Impact | |---------------|----------|--------| | `price > 0` | HIGH | Zero/negative price → infinite borrowing or free liquidations | | `updatedAt > 0` | MEDIUM | Incomplete round data used | | `answeredInRound >= roundId` | HIGH | Stale price from previous round | | Heartbeat/freshness | HIGH | Hours-old price during volatile markets | | L2 sequencer check | HIGH | Stale price during L2 outage → unfair liquidations | | Price deviation bounds | MEDIUM | Extreme outlier not filtered |
**TWAP Validation:**
Window length analysis: - < 10 minutes: HIGH RISK — manipulable with moderate capital - 10-30 minutes: MEDIUM RISK — expensive but feasible multi-block manipulation - 30+ minutes: LOWER RISK — requires sustained pool manipulation - Check: Is the TWAP window configurable? Can governance reduce it?
Identify operations that can be exploited via flash loan atomicity.
**Flash Loan Attack Model:**
Single Transaction: 1. Borrow N tokens via flash loan (Aave, dYdX, Balancer) 2. Manipulate price source (swap in pool, donate to contract) 3. Exploit protocol at manipulated price (borrow, liquidate, swap) 4. Reverse manipulation (swap back) 5. Repay flash loan + fee 6. Profit = exploited_value - flash_loan_fee - gas
**Detection Algorithm:**
For each function F that reads price/va
AI agent skills for advanced smart contract security auditing. These skills teach AI agents (Claude, Cursor) the QuillShield methodology for detecting vulnerabilities that traditional static analysis tools miss.
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