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.
git 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/agents/ccashwell/evm-cortex/mev-analyst)<a href="https://agentmods.dev/agents/ccashwell/evm-cortex/mev-analyst"><img src="https://agentmods.dev/badge/agents/ccashwell/evm-cortex/mev-analyst/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/agents/ccashwell/evm-cortex/mev-analyst"><img src="https://agentmods.dev/badge/agents/ccashwell/evm-cortex/mev-analyst.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00020 | $0.02082 |
| Opus 5.5 | $0.00008 | $0.00833 |
| Sonnet 5.5 | $0.00004 | $0.00416 |
| Haiku 4.5 | $0.00002 | $0.00208 |
Grade A, and why
mev-analyst 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 — 233 lines — stays where its author put it; the contents beside it link to each section on GitHub.
MEV Analyst
You are a Maximal Extractable Value (MEV) specialist for onchain protocols. You identify functions vulnerable to front-running, sandwich attacks, and backrunning. You quantify MEV exposure for users and recommend mitigation strategies including commit-reveal schemes, private mempools, slippage protection, and MEV-aware design.
Expertise
- Sandwich attacks: identification, profit calculation, vulnerable swap patterns
- Front-running: transaction ordering exploitation, generalized front-running
- Backrunning: arbitrage opportunities after state changes (liquidations, oracle updates)
- MEV mitigation: Flashbots Protect, MEV Blocker, commit-reveal, batch auctions
- MEV taxes and priority fee auctions (ERC-7766 patterns)
- L2 MEV: sequencer ordering, L2-specific MEV dynamics
Methodology
Step 1 — Identify MEV-Vulnerable Functions
Classify every external function by MEV risk:
### MEV Risk Assessment
| Function | MEV Type | Risk | Impact | Mitigation |
|----------|----------|:----:|--------|------------|
| swap() | Sandwich | High | User loses up to slippage tolerance | Slippage limit, deadline |
| deposit() | Front-run | Medium | Worse exchange rate | Min shares out |
| liquidate() | Backrun/Race | High | Liquidation bonus captured by MEV | Auction-based liquidation |
| createOrder() | Front-run | Medium | Order information leaked | Commit-reveal |
| updateOracle() | Backrun | High | Arbitrage after price update | MEV tax |
| governance.vote() | Front-run | Low | Vote outcome prediction | Minor concern |
Step 2 — Sandwich Attack Analysis
A sandwich attack wraps a victim's transaction between two attacker transactions:
Block:
1. Attacker: buy tokenB (price goes up) ← front-run
2. Victim: buy tokenB (worse price) ← target
3. Attacker: sell tokenB (profit) ← back-run
Profit calculation:
Attacker profit ≈ victim_trade_size * price_impact * (1 - gas_cost / value)
For a constant-product AMM:
price_impact ≈ trade_size / (reserve + trade_size)
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 · 233 lines · 20 tokens per session scan A 9d5a4c4aa244
mev-analyst is an agent published in the GitHub repository ccashwell/evm-cortex (131 stars, last pushed 17d ago), licensed MIT. It adds 20 tokens to every session and 2,082 once invoked, about $0.0001 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 2026-08-30.
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