network-penetration-testing
A professional framework for conducting network penetration testing, including automated reconnaissance, vulnerability scanning, and exploitation workflows.
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164 skills found
A professional framework for conducting network penetration testing, including automated reconnaissance, vulnerability scanning, and exploitation workflows.
Analyzes Claude Code chat history to identify coding patterns and skill gaps, curates personalized learning resources from HackerNews, and sends progress reports to Slack.
An expert-level CTF solver agent that automates reconnaissance, vulnerability analysis, and exploit generation for web, pwn, crypto, reverse, and forensic challenges.
Automated security vulnerability scanner implementing OWASP Top 10 testing for SAST/DAST, dependency auditing, and auth/authorization validation in CI/CD pipelines.
Autonomous improvement loop for codebase optimization. Automatically modifies, measures, and iterates on code based on a specific goal and mechanical metric.
A comprehensive library of 305+ modular instruction packages, Python CLI tools, and agent workflows designed to extend the capabilities of AI coding assistants like Claude Code, Cursor, Aider, and Gemini CLI.
Automate B2C mobile app marketing with short-form video strategies for TikTok, Instagram, and YouTube. Includes content creation, scheduling via Post Bridge API, and performance analysis.
Cross-platform content repurposing agent. Adapts a single source for Xiaohongshu, Zhihu, WeChat Official Accounts, and Douyin scripts with platform-native formatting, tone, and constraints.
Expert guidance for Logseq plugin development, specifically optimized for the new database architecture, API integration, and property management.
Executes a rigorous, multi-phase Fagan Inspection to systematically resolve persistent, stubborn bugs and complex code interactions.
Clarify ambiguous requirements through systematic dialogue and scoring to ensure high-quality, actionable PRDs before starting implementation.
Dialectical reasoning and adversarial coding agent for MCP-enabled editors, forcing LLMs to resolve internal contradictions for higher quality outputs.