awesome-ai-pulse-georgia — security grade SAFE, quality 58/100

Security audit verdict: SAFE · quality 58/100

No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

by tornikebolokadze1-cyber · MCP Server · ★ 137

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

🔒 Is awesome-ai-pulse-georgia safe to install? View the security audit →

About awesome-ai-pulse-georgia

Awesome AI Pulse Georgia AI აგენტების, დეველოპერ ინსტრუმენტებისა და ავტომატიზაციის კურირებული კოლექცია შერჩეული AI Pulse Georgia-ს მიერ A curated collection of AI agent frameworks, developer tools, and automation resources — by AI Pulse Georgia ⚡ გამოიყენე Claude Code-ში / Cursor-ში — MCP Server-ით ეს მთელი კოლექცია ხელმისაწვდომია MCP server-ად — Claude Code-ის, Cursor-ის, Codex-ის ან ნებისმიერი MCP-თავსებადი client-ის შიგნიდან 213 რეპოს ეძებ ერთი ბრძანებით. ნაცვლად იმისა, რომ GitHub-ი გახსნა და README-ი დააქოქო, AI ასისტენტს ჰკითხე "აი Pulse-ის კოლექციაში რა არის საუკეთესო RAG

ai-agentsai-toolsautomationawesomeawesome-listclaude-codecurated-listgeorgiamcp

Quick Facts

Stars137
Forks17
LanguageTypeScript
CategoryMCP Server
LicenseCC0-1.0
Quality Score57.9601863478925/100
Open Issues17
Last Updated2026-09-11
Created2026-04-02
Platformsclaude-code, mcp, node
Est. Tokens~26k

awesome-ai-pulse-georgia alternative? Top 6 similar tools

Looking for a awesome-ai-pulse-georgia alternative? If you're comparing awesome-ai-pulse-georgia with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

  • awesome-agent-skills by skillmatic-ai · ⭐ 648

    The definitive resource for Agent Skills - modular capabilities revolutionizing AI agent architecture

  • agentic-ai-apis by cporter202 · ⭐ 567

    The ultimate collection of APIs for building autonomous AI agents — 2,036 production-ready APIs across Agents,

  • awesome-ai-coding-techniques by inmve · ⭐ 348

    Practical techniques for coding with ai assistants (Claude Code, Codex CLI, Cursor, GitHub Copilot, etc). Avai

  • awesome-claude-skills by karanb192 · ⭐ 452

    🎯 The definitive collection of 50+ verified Awesome Claude Skills for Claude Code, Claude.ai, and API. Boost

  • daymon by daymonio · ⭐ 368

    Daymon puts your favorite AI to work 24/7. It schedules, remembers, and orchestrates your own virtual team. Fr

  • claudepro-directory by JSONbored · ⭐ 217

    HeyClaude (formerly Claude Pro Directory) is a searchable collection of pre-built AI skills, agents, MCP serve

More MCP Server Tools

Explore other popular mcp server tools:

View all MCP Server tools →

Popular TypeScript Agent Tools

Frequently Asked Questions

What is awesome-ai-pulse-georgia?

awesome-ai-pulse-georgia is A curated collection of cutting-edge AI agent frameworks, developer tools, and automation resources — by AI Pulse Georgia. It is categorized as a MCP Server with 137 GitHub stars.

What programming language is awesome-ai-pulse-georgia written in?

awesome-ai-pulse-georgia is primarily written in TypeScript. It covers topics such as ai-agents, ai-tools, automation.

How do I install or use awesome-ai-pulse-georgia?

You can find installation instructions and usage details in the awesome-ai-pulse-georgia GitHub repository at github.com/tornikebolokadze1-cyber/awesome-ai-pulse-georgia. The project has 137 stars and 17 forks, indicating an active community.

What license does awesome-ai-pulse-georgia use?

awesome-ai-pulse-georgia is released under the CC0-1.0 license, making it free to use and modify according to the license terms.

What are the best alternatives to awesome-ai-pulse-georgia?

The top alternatives to awesome-ai-pulse-georgia on Agent Skills Hub include awesome-agent-skills, agentic-ai-apis, awesome-ai-coding-techniques. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

How this security grade is produced

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:

View on GitHub → Browse MCP Server tools