by aws-samples · MCP Server · ★ 186
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
git clone https://github.com/aws-samples/sample-getting-started-with-strands-agents-course.gitTaken from the project's README on GitHub.
None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.
The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.
| Stars | 186 |
| Forks | 74 |
| Language | Jupyter Notebook |
| Category | MCP Server |
| License | MIT-0 |
| Quality Score | 63/100 |
| Open Issues | 3 |
| Last Updated | 2026-06-05 |
| Created | 2025-08-05 |
| Platforms | aws, mcp |
| Est. Tokens | ~638k |
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.
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Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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: