Flagged: opens a tunnel service. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by taielab · MCP Server · ★ 1.4k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
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Awesome Stars A curated list of my GitHub stars! Generated by starred. Contents ASL ASP.NET ActionScript Ada Arduino Assembly AutoHotkey AutoIt Batchfile BitBake Blade BlitzBasic Boo C C# C++ CMake CSS Classic ASP Clojure CodeQL ColdFusion Dart Dockerfile Emacs Lisp Erlang F# Fluent FreeMarker Go Groovy HCL HTML Hack Haskell Inno Setup Java JavaScript Jinja Jupyter Notebook KiCad Layout Kotlin LLVM Logos Lua MATLAB Makefile Markdown Mask Max Mustache NSIS Nginx Nim Nix [Nunjuck
| Stars | 1,389 |
| Forks | 267 |
| Category | MCP Server |
| Quality Score | 50.766045517811/100 |
| Open Issues | 3 |
| Last Updated | 2025-12-04 |
| Created | 2020-06-12 |
| Platforms | browser, mcp |
| Est. Tokens | ~641k |
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awesome-hacking-lists is A curated collection of top-tier penetration testing tools and productivity utilities across multiple domains. Join us to explore, contribute, and enhance your hacking toolkit!. It is categorized as a MCP Server with 1.4k GitHub stars.
You can find installation instructions and usage details in the awesome-hacking-lists GitHub repository at github.com/taielab/awesome-hacking-lists. The project has 1.4k stars and 267 forks, indicating an active community.
The top alternatives to awesome-hacking-lists on Agent Skills Hub include CyberStrike, klavis, lemonade. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: