drcrypterdotru

drcrypterdotru / sqlmap-skynet

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SQLMap with Autonomous AI, phased workflows, RAG memory, and MCP Agent Tools

agents ai autonomous cybersecurity-tools exploit
78
20
69% credibility
Found Feb 21, 2026 at 20 stars 4x -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

SQLMAP SKYNET provides a dashboard-driven interface that automates sqlmap security scans with AI assistance for smarter testing and reporting.

How It Works

1
🔍 Discover the tool

You find a smart helper on a sharing site that checks websites for hidden weak spots in their data storage.

2
💻 Get it ready

Follow simple pictures to prepare it on your computer, like setting up a new app.

3
🧠 Connect smart thinking

Link a helpful brain service so it can make clever guesses during checks.

4
📊 Open the dashboard

Launch the colorful screen where everything happens live, like watching a show.

5
🌐 Add websites to test

Paste addresses of sites you own or have permission to check, with any login details.

6
🚀 Start the check

Click go and watch it safely explore step by step, adjusting smartly if blocked.

📄 Get your proof

Receive neat summaries with all findings, pictures, and evidence to understand weak spots clearly.

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Star Growth

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AI-Generated Review

What is sqlmap-skynet?

SQLMap-Skynet automates sqlmap github commands into phased workflows—detect, bypass WAFs, enumerate, dump—with a real-time dashboard for monitoring logs and stats. Developers get autonomous AI (local Ollama or cloud providers) that tunes scans on the fly, RAG memory to recall past successes, and MCP tools for agent integration, all in Python. Download from the sqlmap github repository, install via venv on Windows, and run sqlmap github usage through a browser UI or API.

Why is it gaining traction?

It cuts noise from manual sqlmap github help tweaks by applying AI-driven bypasses and prioritizing high-value columns like passwords or tokens. The dashboard shows progress without tailing logs, while RAG and web intel speed up repeat targets. MCP makes it agent-ready, fitting into autonomous tools workflows better than vanilla sqlmap github python scripts.

Who should use this?

Security researchers running sqlmap github install for pentests on WAF-protected sites, bug bounty hunters needing phased sqlmap github wiki-style scans with reports, or red teams integrating sqlmap into MCP agents for automated SQLi chains. Ideal for Windows users tired of CLI-only sqlmap github download sessions.

Verdict

Grab it if you're deep in sqlmap github repository work—solid docs and Windows setup make it usable now, despite 19 stars and 0.7% credibility signaling early maturity. Test on your own targets; pair with sqlmap github commands for production.

(198 words)

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