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 agiprolabs/claude-trading-skills --skill mev-analysisgit clone --depth 1 https://github.com/agiprolabs/claude-trading-skillsWrote 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/agiprolabs/claude-trading-skills/mev-analysis)<a href="https://agentmods.dev/skills/agiprolabs/claude-trading-skills/mev-analysis"><img src="https://agentmods.dev/badge/skills/agiprolabs/claude-trading-skills/mev-analysis/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/agiprolabs/claude-trading-skills/mev-analysis"><img src="https://agentmods.dev/badge/skills/agiprolabs/claude-trading-skills/mev-analysis.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk warn
- 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 | $0.00022 | $0.03158 |
| Opus 5 | $0.00011 | $0.01579 |
| Sonnet 5 | $0.00004 | $0.00632 |
| Haiku 4.5 | $0.00002 | $0.00316 |
Grade A, and why
mev-analysis 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 12d 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 — 321 lines — stays where its author put it; the contents beside it link to each section on GitHub.
MEV Analysis for Solana DEX Trading
Maximal Extractable Value (MEV) is the profit that validators and searchers can extract by reordering, inserting, or censoring transactions within a block. On Solana DEXes, MEV primarily manifests as sandwich attacks against swaps, cross-DEX arbitrage, and liquidation extraction. This skill covers detection, estimation, and protection strategies.
What Is MEV on Solana?
MEV occurs when someone with transaction ordering power profits at other traders' expense. On Solana, the MEV supply chain works as follows:
- You submit a swap through an RPC endpoint
- Searchers observe your transaction (via RPC forwarding, block engine access, or leader TPU sniffing)
- Searcher constructs a profitable bundle (e.g., sandwich your swap)
- Bundle submitted to Jito block engine with a tip to the validator
- Validator includes the bundle in the block, earning the tip
- You receive worse execution; the searcher profits the difference
How Solana MEV Differs from Ethereum
| Aspect | Ethereum | Solana |
|---|---|---|
| Block time | 12 seconds | ~400ms slots |
| Mempool | Public mempool | No mempool (but tx visible in transit) |
| Ordering | Proposer-builder separation (PBS) | Jito block engine (~85%+ validators) |
| Bundle system | Flashbots bundles | Jito bundles with tips |
| MEV cost | Gas priority fees | Jito tips (SOL) |
| Latency pressure | Moderate | Extreme (sub-100ms decisions) |
Key Solana-specific factors:
- No public mempool: Transactions flow RPC → TPU → Leader, but searchers tap into this flow via Jito's block engine and modified validators
- Known leader schedule: The leader (block producer) schedule is known ~2 epochs ahead, letting searchers target specific leaders
- Jito dominance: ~85%+ of validators run the Jito-modified client, making Jito bundles the primary MEV vector
- Speed: 400ms slots mean MEV bots must operate in microseconds, favoring co-located infrastructure
What ships with it
4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 12d ago First seen · 321 lines · 22 tokens per session scan A 48f45e49c39b
mev-analysis is a skill published in the GitHub repository agiprolabs/claude-trading-skills (354 stars, last pushed 8d ago), licensed MIT. It adds 22 tokens to every session and 3,158 once invoked, about $0.0001 per session on Opus 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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