wgpsec

wgpsec / benchmark-platform

Public

AI agent CTF 靶场竞赛平台

17
0
100% credibility
Found May 11, 2026 at 17 stars -- GitGems finds repos before they trend. Get early access to the next one.
Sign Up Free
AI Analysis
Python
AI Summary

A web platform for running interactive security challenges like CTF games to test and improve hacking skills, with progress tracking and automation support.

How It Works

1
🔍 Discover Security Playground

You find this fun tool online for practicing real-world hacking challenges right on your computer.

2
📦 Set Up Your Training Kit

Download the platform and grab some ready-made challenges to get everything prepared.

3
🚀 Start Your Session

Turn on the platform, and it creates your private practice area instantly.

4
📊 See Your Dashboard Glow

Open your browser to a colorful overview showing challenges, scores, and your progress at a glance.

5
🎯 Launch a Challenge

Choose one, fire it up, and start exploring to hunt for secret flags.

6
✅ Submit Flags and Score

Type in what you found, get quick yes/no feedback, and see points add up.

🏆 Conquer Levels and Grow

Finish easy ones to unlock tougher challenges, track your skills improving, and feel like a pro.

Sign up to see the full architecture

5 more

Sign Up Free

Star Growth

See how this repo grew from 17 to 17 stars Sign Up Free
Repurpose This Repo

Repurpose is a Pro feature

Generate ready-to-use prompts for X threads, LinkedIn posts, blog posts, YouTube scripts, and more -- with full repo context baked in.

Unlock Repurpose
AI-Generated Review

What is benchmark-platform?

Benchmark-platform is a Python FastAPI app that runs Docker Compose-based CTF challenges for evaluating AI agent security skills. It handles challenge lifecycles—start, stop, health checks—with a web UI for dashboards, submissions, and prebuild caching, plus REST APIs for programmatic access like listing challenges, submitting flags, or getting hints. Developers get isolated instances with multi-flag support, level gates, and scoring, solving the pain of manual CTF setups for ai agent ctf github benchmarks.

Why is it gaining traction?

It stands out with agent-friendly APIs matching ctf agent llm formats, letting tools like agent github copilot cli or claude agents automate pentests without custom wrappers. Features like image prebuilding cut cold starts, Apple Silicon compatibility, and hint penalties add realism for ctf agent skills testing. As part of the WgpSec ecosystem tying knowledge bases to autonomous agents like tchkiller, it hooks devs building cross platform benchmark tools for real offensive scenarios.

Who should use this?

Security engineers benchmarking ctf agent ai performance against validation challenges. AI researchers integrating agent github code with pentest platforms for multi-round evals. Teams hosting agent github copilot vscode hackathons needing quick Docker spins and progress tracking.

Verdict

Grab it if you're into ai agent ctf github experiments—solid docs, bilingual READMEs, and MIT license make setup straightforward via pip and Docker. With 17 stars and 1.0% credibility, it's early-stage (light tests, no heavy production hardening), so prototype locally before scaling.

(198 words)

Sign up to read the full AI review Sign Up Free

Similar repos coming soon.