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 skills add ccashwell/evm-cortex --skill flash-loan-attacksgit clone --depth 1 https://github.com/ccashwell/evm-cortexWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/ccashwell/evm-cortex/flash-loan-attacks)<a href="https://agentmods.dev/skills/ccashwell/evm-cortex/flash-loan-attacks"><img src="https://agentmods.dev/badge/skills/ccashwell/evm-cortex/flash-loan-attacks/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/ccashwell/evm-cortex/flash-loan-attacks"><img src="https://agentmods.dev/badge/skills/ccashwell/evm-cortex/flash-loan-attacks.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What 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 5.1 | $0.00055 | $0.01319 |
| Opus 5.5 | $0.00022 | $0.00528 |
| Sonnet 5.5 | $0.00011 | $0.00264 |
| Haiku 4.5 | $0.00006 | $0.00132 |
Grade A, and why
flash-loan-attacks 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 1mo ago.
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.
How it starts
The opening of the file, as written. The whole thing — 180 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Flash Loan Attacks
What Makes Flash Loans Dangerous
Flash loans allow borrowing unlimited capital with zero collateral, provided it's returned within the same transaction. This means any attack that's profitable with enough capital becomes free to execute.
Attack Pattern: Governance Manipulation
Borrow tokens → acquire voting power → pass malicious proposal → profit.
1. Flash borrow 10M governance tokens from Aave/dYdX
2. Delegate voting power to attacker
3. Create + vote on malicious proposal (if single-block voting)
4. Proposal executes: drain treasury / change parameters
5. Return flash loan
Defense: Snapshot-Based Voting
contract SafeGovernor {
// Voting power is snapshotted at proposal creation block
// Flash-borrowed tokens have no voting power for existing proposals
function propose(...) external returns (uint256 proposalId) {
uint256 snapshot = block.number; // or block.number - 1
proposals[proposalId].snapshotBlock = snapshot;
// ...
}
function castVote(uint256 proposalId, uint8 support) external {
uint256 snapshot = proposals[proposalId].snapshotBlock;
// Uses historical balance, not current
uint256 weight = token.getPastVotes(msg.sender, snapshot);
// ...
}
}
Additional defenses:
- Voting delay: require N blocks between proposal creation and voting start
- Time-weighted voting: voting power based on average balance over time
- Proposal threshold: minimum token holding period to create proposals
Attack Pattern: Oracle Manipulation
Borrow tokens → manipulate spot price → exploit protocol using stale/spot price.
1. Flash borrow large amount of token A
2. Swap token A → token B on a DEX, crashing A's spot price
3. Protocol reads spot price (or manipulable TWAP)
4. Borrow against token B using deflated A price as collateral
5. Swap back, restoring price
6. Return flash loan, keep profit
Defense: TWAP Oracles
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.
- 1mo ago First seen · 180 lines · 55 tokens per session scan A 2d2ecd4402ab
flash-loan-attacks is a skill published in the GitHub repository ccashwell/evm-cortex (131 stars, last pushed 17d ago), licensed MIT. It adds 55 tokens to every session and 1,319 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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