awesome-web3-security-overview
Guide for understanding and contributing to the awesome-web3-security curated resource list. Use this skill when adding resources, organizing categories, or maintaining README.md consistency (no duplicates).
Browse published AI skills maintained by gmh5225. Compare skill descriptions and follow each source repository for setup instructions.
Indexed skills
38Repository stars across indexed skills
32,032Repository forks
4,262Average repository stars per indexed skill
843Repository stars may repeat across skills from the same repository.
Guide for understanding and contributing to the awesome-web3-security curated resource list. Use this skill when adding resources, organizing categories, or maintaining README.md consistency (no duplicates).
Guide for understanding and contributing to the awesome-skills curated resource list. Use this skill when adding resources, organizing categories, or maintaining README.md consistency (no duplicates).
Guide for development and code tools skills including document processing, browser automation, testing frameworks, and IDE integrations.
Guide for Claude Code skills installation, usage, and development. Use when working with Claude Code specific features, paths, and conventions.
Guide for security-related Agent Skills including penetration testing, code auditing, threat hunting, and forensics skills.
Guide for AI Agents and LLM development skills including RAG, multi-agent systems, prompt engineering, memory systems, and context engineering.
Guide for creating Agent Skills: structure, best practices, and SKILL.md format for Claude Code, Codex, Gemini CLI, and other AI agents.
Guide for multi-platform skill compatibility across Claude Code, Codex, Gemini CLI, Cursor, GitHub Copilot, and other AI coding agents.
Guide for marketing and growth skills including SEO, copywriting, CRO, email campaigns, paid ads, and product launch strategies.
Guide for LLM security attacks: prompt injection, jailbreaking, data extraction, and where to place resources in README.md.
Guide for adversarial machine learning: adversarial examples, data poisoning, model backdoors, and evasion attacks.
Guide for understanding and contributing to the awesome-ai-security curated resource list. Use this skill when adding resources, organizing categories, or maintaining README.md consistency (no duplicates).
Guide for AI-powered penetration testing tools, red teaming frameworks, and autonomous security agents.
Guide for AI security tooling (detectors, analyzers, guardrails, benchmarks) and consistent placement in README.md.
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.