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 iusztinpaul · MCP Server · ★ 487
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is designing-real-world-ai-agents-workshop safe to install? View the security audit →
Build Your Own Deep Research Agent + Technical Writer Multi-Agent System A hands-on workshop, presented at AI Engineering Conference Europe, building a multi-agent AI system with two MCP servers: a Deep Research Agent and a LinkedIn Writing Workflow. Both connected to a harness like Claude Code or Cursor. 🎬 Full workshop available on YouTube ↓ 📑 Slides here. From our Agentic AI Engineering Full Course Built as a lightweight companion to the Agentic AI Engineering Course, which covers 34 lessons and three end-to-end portfolio projects. This workshop distills the core agentic patterns into a 2-hour hands-on build. What You'll Build Today Deep Research Agent — An MCP server that runs deep research using Gemini wi
| Stars | 487 |
| Forks | 128 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 71.9635548367038/100 |
| Open Issues | 2 |
| Last Updated | 2026-06-03 |
| Created | 2026-03-27 |
| Platforms | mcp, python |
| Est. Tokens | ~4244k |
These tools work well together with designing-real-world-ai-agents-workshop for enhanced workflows:
Looking for a designing-real-world-ai-agents-workshop alternative? If you're comparing designing-real-world-ai-agents-workshop 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.
24 cross-platform agent skills for Claude Code, Cursor, Codex & Gemini CLI — databases, messaging, research, T
🤖 A comprehensive list of 1,500+ resources and tools related to AI agents.
A Plugin-Based Multi-Agent System for In-Editor Academic Writing, Review, and Editing
Create AI Agents in a No-Code Visual Builder or TypeScript SDK with full 2-way sync. For shipping AI assistant
A set of tools that gives agents powerful capabilities.
The SmythOS Runtime Environment (SRE) is an open-source, cloud-native runtime for agentic AI. Secure, modular,
Explore other popular mcp server tools:
designing-real-world-ai-agents-workshop is Hands-on workshop: Build a multi-agent AI system from scratch — Deep Research Agent + Writing Workflow served as MCP servers. Includes code, slides, and video. It is categorized as a MCP Server with 487 GitHub stars.
designing-real-world-ai-agents-workshop is primarily written in Python. It covers topics such as ai-agent, ai-skills, ai-workflow.
You can find installation instructions and usage details in the designing-real-world-ai-agents-workshop GitHub repository at github.com/iusztinpaul/designing-real-world-ai-agents-workshop. The project has 487 stars and 128 forks, indicating an active community.
designing-real-world-ai-agents-workshop is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to designing-real-world-ai-agents-workshop on Agent Skills Hub include ai-skills, awesome_ai_agents, paperdebugger. 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: