Repository intelligence

MIgHTy-alIeN/ai-trader-bot

GitHub

An MEV arbitrage bot for Ethereum composed of a smart contract and an external Python automation script that finds and executes trades between Uniswap pools and routers [1].

CLOUDM0N decision
WATCH
Trust PASS · 100/100
Good fit if

Individual crypto traders looking to automate Ethereum arbitrage starting with a small deposit of 0.5 to 1 ETH [2, 3].

Watch out for

Requires the user to keep the browser page open continuously while the bot is running [2].

Practical intelligence

What matters before you adopt it

Best for
Individual crypto traders looking to automate Ethereum arbitrage starting with a small deposit of 0.5 to 1 ETH [2, 3].
Users who prefer a web-browser interface and browser-extension wallets (MetaMask or Phantom) for deploying, managing, and running blockchain automation [2, 4].
Main trade-offs
Requires the user to keep the browser page open continuously while the bot is running [2].
Requires manual confirmation in MetaMask or Phantom for the initial transaction execution [2, 5].
Generates highly volatile returns that are not guaranteed and are subject to gas fees, market volatility, and competition [3].
Why it stands out
Performs routine gas estimation checks (using eth_estimateGas) to simulate arbitrage success before initiating real transactions [5].
Restricts critical administrative controls—such as changing settings, pausing the contract, and withdrawing funds—exclusively to the contract owner [4, 6].
Natively integrates a background scanner that logs live Uniswap V2/V3 swap events on mainnet in real time [5].
Trust & CVEs

Security evidence without the noise

Trust remains a decision signal; CVEs and scanner evidence explain what is driving the risk.

Security findings
Scanner unavailable
Critical
High
Medium
Low
View trust evidence & security findings
Why this score
No trust rationale was stored for this scan.
CLOUDM0N findings
Architecture from code1 modules · 0 edges
Structural evidence

Modules and dependency edges extracted from repository code. This is code evidence, not README inference.

Code files
0
Modules
1
Dependency edges
0
Core modules
Dependency flow
No dependency edges were extracted.
Detected languages
Detected frameworks
Architecture evidence details
flowchart TD
    %% repo — high-level architecture (DRAFT, refine me)
Evidence, security & integrations
Integrations
Security notes
Still unknown
The README does not provide details on how the Python script operates or whether it can be run locally outside the browser.
Does not specify the precise interval at which the automation checks for arbitrage opportunities.
Does not state which specific L2 networks or alternative chains are supported besides Ethereum mainnet.
Agent handoff
Use with any agent
JSON API
Alternatives

Nearby repositories worth comparing before adoption.

Compare top options →
awesome-design-md
VoltAgent/awesome-design-md
94
Fit

Imagine dropping a single DESIGN.md file into your project and watching AI coding agents generate UI that actually matches your brand's visual language. That's exactly what awesome-design-md delivers. This repo is a goldmine for developers who want to maintain design consistency without manually specifying every color, spacing rule, and component behavior to AI agents. Whether you're building with Vibe Coding or traditional workflows, this collection transforms how AI tools understand your design intent.

Trust PASS · 100
Compare →
repowise
repowise-dev/repowise
63
Fit

Repowise is your AI team's new best friend when it comes to understanding codebases at scale. It tackles the messy reality of large codebases by automatically generating documentation, surfacing git analytics, spotting dead code, and extracting architectural decisions — all through the Model Context Protocol (MCP). Whether you're onboarding new devs, debugging legacy code, or feeding context to your favorite AI coding assistant, Repowise turns chaotic repositories into structured, queryable intelligence. With 1.3k stars and growing fast, this tool is quickly becoming essential for teams that want to ship smarter, not harder.

Trust REVIEW · 55
Compare →
radar
skyhook-io/radar
58
Fit

Radar is an open-source Kubernetes visibility platform that gives you topology maps, service traffic visualization, event timelines, and Helm chart management — all in one clean dashboard. If you're tired of jumping between kubectl commands and scattered tools just to understand what's running in your cluster, Radar is your all-in-one command center. Built by the team at Skyhook.io, it turns complex cluster chaos into something you can actually see and navigate.

Trust REVIEW · 40
Compare →