Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add skills/miru-zero/zero-brain/defi-attack-patternsnpx skills add miru-zero/zero-brain --skill defi-attack-patternsgit clone --depth 1 https://github.com/miru-zero/zero-brainWhat it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00046 | $0.03365 |
| Opus 5 | $0.00023 | $0.01682 |
| Sonnet 5 | $0.00009 | $0.00673 |
| Haiku 4.5 | $0.00005 | $0.00336 |
Grade A, and why
defi-attack-patterns scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured yesterday.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
This is a copy
94% identical to defi-attack-patterns — 4 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 356 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SKILL: DeFi Attack Patterns — Expert Attack Playbook
AI LOAD INSTRUCTION: Expert DeFi exploitation techniques. Covers flash loan mechanics, oracle manipulation (spot vs TWAP), MEV extraction (sandwich, JIT, liquidation), precision loss attacks, governance exploits, bridge vulnerabilities, and token standard pitfalls. Base models often miss the single-transaction atomicity constraint of flash loans and the distinction between spot price and TWAP manipulation.
0. RELATED ROUTING
- smart-contract-vulnerabilities for underlying Solidity vulnerability patterns (reentrancy, integer overflow, delegatecall)
- deserialization-insecure when targeting off-chain bridge relayer or indexer infrastructure
1. FLASH LOAN ATTACKS
1.1 Mechanism
Flash loans provide uncollateralized borrowing within a single transaction. The entire borrow → use → repay cycle must complete atomically; if repayment fails, the transaction reverts as if nothing happened.
| Provider | Max Amount | Fee |
|---|---|---|
| Aave V3 | Pool liquidity per asset | 0.05% (can be 0 for approved borrowers) |
| dYdX | Pool liquidity | 0 (uses internal balance manipulation) |
| Uniswap V3 | Pool liquidity per pair | 0.3% (swap fee tier) |
| Balancer | Pool liquidity | Protocol-configurable |
1.2 Price Oracle Manipulation
1. Flash borrow 100,000 WETH
2. Swap 100,000 WETH → TOKEN on AMM_A
→ TOKEN spot price on AMM_A skyrockets
3. On Lending_Protocol (reads AMM_A spot price as oracle):
→ Deposit small TOKEN collateral (valued at inflated price)
→ Borrow large amount of WETH against it
4. Swap TOKEN back → WETH on AMM_A (restore price)
5. Repay flash loan (100,000 WETH + fee)
6. Keep borrowed WETH from Lending_Protocol minus collateral cost
Key insight: protocols using AMM spot reserves (getReserves()) as price oracles are vulnerable. Must use TWAP or external oracle (Chainlink).
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- yesterday First seen · 356 lines · 46 tokens per session scan A f14b902ee303
defi-attack-patterns is a skill published in the GitHub repository miru-zero/zero-brain (0 stars, last pushed 14d ago), licensed MIT. It adds 46 tokens to every session and 3,365 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 94% identical to defi-attack-patterns, differing in 4 lines, and is treated as a copy.
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