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 governance-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/governance-attacks)<a href="https://agentmods.dev/skills/ccashwell/evm-cortex/governance-attacks"><img src="https://agentmods.dev/badge/skills/ccashwell/evm-cortex/governance-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/governance-attacks"><img src="https://agentmods.dev/badge/skills/ccashwell/evm-cortex/governance-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 | $0.00058 | $0.01682 |
| Opus 5.5 | $0.00023 | $0.00673 |
| Sonnet 5.5 | $0.00012 | $0.00336 |
| Haiku 4.5 | $0.00006 | $0.00168 |
Grade A, and why
governance-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 — 228 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Governance Attacks
Flash Loan Voting
Borrow governance tokens → acquire voting power → vote → return tokens. All in one transaction.
1. Flash borrow 10M GOV tokens
2. Delegate to self (if not already delegated)
3. Cast vote on active proposal
4. Return tokens
Defense: Snapshot-Based Voting
contract SafeGovernor {
// Voting power is snapshotted BEFORE proposal voting begins
function propose(
address[] memory targets,
uint256[] memory values,
bytes[] memory calldatas,
string memory description
) public returns (uint256 proposalId) {
uint256 snapshot = block.number + votingDelay;
// votingDelay ensures tokens must be held before voting starts
proposals[proposalId].snapshot = snapshot;
proposals[proposalId].deadline = snapshot + votingPeriod;
// ...
}
function _getVotes(address account, uint256 blockNumber)
internal
view
returns (uint256)
{
// Historical balance — flash loans have zero effect
return token.getPastVotes(account, blockNumber);
}
}
Key Parameters
uint256 public votingDelay = 1 days; // blocks between propose and vote start
uint256 public votingPeriod = 1 weeks; // duration of voting
uint256 public proposalThreshold = 100_000e18; // tokens needed to propose
Vote Buying / Dark DAOs
Off-chain vote buying markets where token holders sell their voting power.
1. Attacker deploys contract: "Deposit GOV tokens, vote my way, earn rewards"
2. Token holders delegate to attacker's contract
3. Attacker controls large voting block
Defense: Vote Escrow (veToken)
// Voters must lock tokens for extended periods to gain voting power
// Makes vote buying expensive (capital must be locked, not just held momentarily)
struct LockInfo {
uint256 amount;
uint256 unlockTime;
}
function getVotingPower(address account) public view returns (uint256) {
LockInfo memory lock = locks[account];
if (lock.unlockTime <= block.timestamp) return 0;
// Voting power decays linearly toward unlock
uint256 timeRemaining = lock.unlockTime - block.timestamp;
uint256 maxLockDuration = 4 * 365 days;
return lock.amount * timeRemaining / maxLockDuration;
}
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 · 228 lines · 58 tokens per session scan A 0d9c33ede874
governance-attacks is a skill published in the GitHub repository ccashwell/evm-cortex (131 stars, last pushed 17d ago), licensed MIT. It adds 58 tokens to every session and 1,682 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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