Skill 디렉토리

AI Agent를 위한 재사용 가능한 Skill을 찾으세요.

작업으로 실제 GitHub Skill을 검색하고 사용 전에 Stars, 신뢰, 감사, 카테고리, 설치 경로를 확인하세요.

모든 추천은 리포지토리, 감사, 설치 경로와 명확하게 연결됩니다.

검색 결과: csrf-attacks

영문 디렉토리

The Prime Cross Site Request Forgery (CSRF) Audit and Exploitation Toolkit.

1.3K
Stars
77/100
신뢰
카테고리: web-automation감사

A multi-threaded PDF password cracking utility equipped with commonly encountered password format builders and dictionary attacks.

1.4K
Stars
75/100
신뢰
카테고리: document-processing감사

Opinionated macOS development environment automation that packages agent skills, rules, and CLI tooling for AI coding agents like Claude Code and Codex.

124
Stars
73/100
신뢰
카테고리: coding-agents감사

An adversarial example library for constructing attacks, building defenses, and benchmarking both

6.4K
Stars
74/100
신뢰
카테고리: ml-automation감사

rep+ — Burp-style HTTP Repeater for Chrome DevTools with built‑in AI to explain requests and suggest attacks

1.6K
Stars
74/100
신뢰
카테고리: document-processing감사

Arcjet JavaScript (JS) / TypeScript SDK. Stop bots and automated attacks from burning your AI budget, leaking data, or misusing tools with Arcjet's AI security building blocks.

675
Stars
72/100
신뢰
카테고리: coding-agents감사

Packj stops :zap: Solarwinds-, ESLint-, and PyTorch-like attacks by flagging malicious/vulnerable open-source dependencies ("weak links") in your software supply-chain

687
Stars
71/100
신뢰
카테고리: development감사

PromptInject is a framework that assembles prompts in a modular fashion to provide a quantitative analysis of the robustness of LLMs to adversarial prompt attacks. 🏆 Best Paper Awards @ NeurIPS ML Safety Workshop 2022

515
Stars
71/100
신뢰
카테고리: ml-automation감사

This project is designed to capitalize on MEV attacks within the BSC network to generate profits.

145
Stars
66/100
신뢰
카테고리: web3-analytics감사

A front-end JavaScript toolkit for creating DNS rebinding attacks.

501
Stars
62/100
신뢰
카테고리: robotics-iot감사

🔥🔥Defending Against Deepfakes Using Adversarial Attacks on Conditional Image Translation Networks

347
Stars
59/100
신뢰
카테고리: ml-automation감사