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 aws-samples · MCP Server · ★ 186
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is sample-getting-started-with-strands-agents-course safe to install? View the security audit →
Getting Started with Strands Agents - Complete Learning Path 🎯 Learning Journey: Course 1 (Fundamentals) → Course 2 (Advanced MCP, Hooks, Session Management) → Course 3 (Multi-Agent Systems) → Course 4 (Production Deployment) A comprehensive hands-on learning path for AI agent development using the Strands Agents framework. Build intelligent, multi-agent systems from basic concepts to production-ready implementations with advanced capabilities. All of these courses have free video courses to follow along available at Analytics Vidhya. 📚 Learning Path Overview This repository contains four progressive courses that take you from fundamentals to advanced production-ready implementations: Course 1: Getting Started with Strands Agents Foundation course covering basic agent creation, model providers, AWS integration, MCP basics, agent-to-agent communication, and observability fundamentals. Video Series available here for free enrollment. Course 2: Advanced Strands Agents with MCP Advanced course focusing on production-ready implementations, advanced tool integration, persistent memory systems, hooks, session management, and enterprise features.
| Stars | 186 |
| Forks | 74 |
| Language | Jupyter Notebook |
| Category | MCP Server |
| License | MIT-0 |
| Quality Score | 63.1533367508496/100 |
| Open Issues | 3 |
| Last Updated | 2026-06-05 |
| Created | 2025-08-05 |
| Platforms | aws, mcp |
| Est. Tokens | ~638k |
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sample-getting-started-with-strands-agents-course is Learn to build AI agents with Strands framework. Covers LLM integration via Amazon Bedrock/Anthropic, AWS service connections, tool implementation with MCP/A2A protocols, and agent evaluation using La. It is categorized as a MCP Server with 186 GitHub stars.
sample-getting-started-with-strands-agents-course is primarily written in Jupyter Notebook. It covers topics such as a2a, anthropic, aws.
You can find installation instructions and usage details in the sample-getting-started-with-strands-agents-course GitHub repository at github.com/aws-samples/sample-getting-started-with-strands-agents-course. The project has 186 stars and 74 forks, indicating an active community.
sample-getting-started-with-strands-agents-course is released under the MIT-0 license, making it free to use and modify according to the license terms.
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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: